2025 Insilicogen Company English Brochure

Read Data,
Read Data,
Lead Big
Lead Big
Data Bio Company, Insilicogen, Inc.
Company Brochure · 2025

©2025 Insilicogen, Inc. 2
Company Overview
About Insilicogen
CEO’s Message
Core Value
Organization
History
Partners
03
04
05
06
07
10
01
12
20
22
24
26
Our Business
Bioinformatics
AI
Data Food
Data Breeding
Data Peptide
02
28
39
Public Relation
Achievements
Our Culture
03
Contents

Our company has grown by effectively managing, analyzing, and sharing
diverse biological data. Insilicogen, Inc. is preparing for innovations that will
lead the future under the vision of becoming a “Data Bio Company.”
We are deeply involved in every stage—generation, collection, storage,
and analysis—of the data lifecycle, setting the standard for big data and
continuously evolving alongside diverse data worldwide.
Creating a New Value Chain through
Bioinformatics and Artificial Intelligence
Company Overview About Insilicogen

Company Overview CEO’s Message
Read Data, Lead Big
Data Bio Company,
Insilicogen, Inc.
Insilicogen, Inc. celebrated its 20th anniversary in 2024. Over the past two decades,
we have been building bio big data, and now, based on this experience and
technological expertise, we aim to lead the innovation of the data-driven bio industry.
In collaboration with various institutions such as the Ministry of Science and ICT,
the Ministry of Health and Welfare, the Ministry of Agriculture, Food and Rural Affairs,
the Korea Disease Control and Prevention Agency, and the Rural Development
Administration, we have built omics big data systems including BIGHUG, BLIMS,
CODA, CRIS, CowScan, KAHIS, MAGIC, MBDC, MEE, NABIC, ODFM, OREO, and RRM.
Building a database is an opportunity to understand where the original data is
generated, how it is utilized, and uncover the deep meaning hidden within it.
While countries and companies continue to produce bio data,
data that is not standardized inevitably has limited usability.
At 人Co, we focus on standardizing these data, managing them systematically,
and integrating AI and big data analysis technologies to create better research
environments. Based on the accumulated experience in data production, archiving,
modeling, and analysis over the past 20 years, we will build a more efficient and
productive bio big data ecosystem and lay the foundation for the industry.
As always, Insilicogen, Inc. will continue to focus on placing people at the center and
striving for technological advancement.
Your interest and support will be appreciated.
CEO of Insilicogen, Namwoo Choi

Data Bio Company
Company Overview Value Pyramid
Creating a New Value Chain through
Bioinformatics and Artificial Intelligence
A dream you dream alone is only a dream.
A dream you dream together becomes a reality.
人Co is an Insilicogen’s core brand value. It represents our aim to create our own corporate culture with the help of people,
computer technology, and through considerate communication.

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Company Overview Organization
Horizontal communication
and creative culture guarantee
diversity
DSC
Data Science Center
DSC provides practical values for the basic
science, medical science, plant/animal
breeding and microbiome. DSC provides
integrated data science services from
professional consulting to data analysis and
platform development.
IFC
insilico Food Center
IFC offers FoodTech services integrated
with Artificial Intelligence (AI) and Internet of
Things (IoT) by developing technology that
provides personalized diet recommendations
and tailored food suggestions utilizing
bio-food big data.
iLAB
insilico Lab
iLAB, your customized bioinformatics
partner, provides everything you need in
the lab using our techniques and know-how
obtained from years of experience and
consulting various solutions.
RDC
RD Center
[Selected as an excellent corporation RD Center by
the Ministry of Science and ICT for two consecutive
times]
Beyond the combination of coded biological
data and algorithms, RDC is providing the
consultation for the Bioinformatics analysis
of NGS-related data for animals, plants, and
microbes.
BS
Bioinformatics System Department
BS leads knowledge informatization by
blowing life into information and putting it
into the system.
FLEX
FLEX Department
FLEX will offer practical customer values
utilizing a successful digital business model
by integrating planning, marketing, UX/UI,
Front-end and Back-end.

Company Overview History
2004 2005 2006 2007 2008 2010
2009
10 Insilicogen’s distributed
business established
02 Joint research on the development of
alternative materials for malachite green
derived from natural materials
06 Win a contract on constructing ‘Animal
Genome Information System’ for the
National Livestock Research Institute
(Formerly Livestock Research Institute)
04 Selected as the supervision institution
to participate on National Research
project organized from Ministry of
Environment
(Construction of environmentally harmful
substance-genome knowledge database
and development of technology-based on
semantics, 2008 ~ 2010)
05 Moved the office to Suwon High-Tech
Venture Valley
06 Signed MOU on joint research projects
and technical cooperation with Biomax
Informatics AG
07 Win a contract on the development of
DB analysis tool for early detection
pathogen, posted from KCDC
09 Build an Ancient Genetic Resource
Database for National Institute of Cultural
Heritage
06 Certified RD center, Insilicogen, Inc.
as a research institute
07 Win a contract on constructing ‘Breeding
Information Linkage Utilization System’
for the National Institute of Agricultural
Science and Technology
02 Registered LabKM® trademark
05 Developed a genetic information
system to identify fallen soldiers from
the Korean War(Ministry of National
Defense Inspection Headquarters)
10 Insilicogen, Inc. Daejeon branch
established
08 Insilicogen, Inc. Bioinformatics
Consulting Firm established
We will continue to transform
for our business growth
01 Completed analysis of the Korean cow’s
entire genomic sequence analysis on its
single mutation with Yeungnam University,
Department of Animal Science, Chungbuk
National University, CLC bio A / S, Solgent
03 Signed Plant Genomics MOU with three
organization (Insilicogen, Inc., CLC bio
A/S, Seoul National Univ.)
05 Participated in establishment of
LIMS(Laboratory Information
Management System) for Livestock
Products Quality Assurance Service
09 Win a contract on Bioinformatics analysis
of cabbage SNP marker from National
Horticultural Research Institute
12 Registered Glter® trademark
...

01 Patent for Ontle™(Web-based Ontology
Editing) registered
11 Signed academic exchange agreement
with 6 Universities(Yeungnam, Hanyang,
Chungbuk, Chonbuk, Sungkyunkwan,
Sangmyung)
01 Joint registered pepper gene sequencing
analysis on ‘Nature Genetics’(The Next
Generation Bio-Green 21, organized by
the RDA)
03 Registered as a research and
development service
08 Selected as a prospective public data
providing company
12 Moved to Heungdeok IT Valley
01 Certified as a small-giant company by
Ministry of Employment and labor
09 Incorporated Insilicogen’s Daejeon
branch
10 Organized Hanwoo Genome Symposium
(sponsored by the Ministry of Agriculture,
Forestry and Fisheries Technology
Planning and Evaluation,
Gyeongsangbuk-do)
11 Increased capital to 200 million won
12 Opened 人CoFLEX
07 Patent for KinMatch™
(DNA search method) registered
10 Selected as a special research center
from military manpower administration
for those who need alternative military
service
11 Executed ICT fusion contents utilization
system and information standardization
project based on traditional food
history of KFRI and scientific evidences
(Bio Big Data Business)
01 Ontle™(Web-based Ontology Editing),
international patent registered
01 Signed MOU on cultivating prospective
bioinformaticians(School of Life Systems,
Soongsil Univ.)
06 Selected as a Management Innovation
Certification Company
12 Selected as a technology innovation
business by Ministry of Knowledge
Economy(2011~2016)
2011 2012 2013 2014 2015 2017
2016 ...
02 Selected as an excellent management
company designated by the Military
Manpower Administration (Awarded from
Small and Medium Business
Administration in Gyeonggi province)
07 Registered a domestic patent on
developing traitchemical network-based
model for providing personalized
trait-specific dietary information
03 Selected as a sincere taxpayer in the
year of 2017
08 Selected as the best-service company
by Korean Credit Guarantee Fund
11 Registered trademark iF(insilico Food)

01 Selected as Youth-Friendly Small and
Medium Enterprise
(Outstanding Work-Life Balance)
06 Selected as an excellent corporation RD
Center by the Ministry of Science and
ICT for two consecutive times
06 Appointed as a member of the Presidential
Committee on Agriculture, Fisheries and
Rural Policy – special committee on
bioeconomy
08 Registered a domestic patent for system
for selection of genetic markers and
method for breed identification
12 Selected as a 2024 truly excellent SME
(Cham! Enterprise)
01 Selected as a youth-friendly small
company in the year 2018(Ministry of
Employment and Labor)
03 Signed MOU on building a big-data based,
customized service platform(Kwangdong
Pharmaceutical Co.,Ltd.)
12 Received a certified award from Ministry
of Oceans and Fisheries(Business on
building National Fisheries Biointegration
System)
01 Selected as a youth-friendly small
company(Excellence in work life balance)
03 Registered a domestic patent for human
body type and metabolic susceptibility
SNP marker and diagnostic information
provision method
12 Received a minister award (Ministry of
Agriculture, Food and Rural Affairs)
01 Selected as a youth-friendly company
(Above-average Salaries in the industry)
04 Signed a contract on digital breeding
technology development business with
Korea Institute of Planning and Evaluation
for Technology in Food
(Ministry of Agriculture, Food and Rural
Affairs)
01 Signed MOU on building the ecosystem of
healthcare healing convergence
business((Re)GSIPA)
04 Proceeded a workshop on animal genetic
big data platform based on IncoGWAS at
the RDA NIAS (Opened Event)
11 Registered domestic patent for a target
gene screening method and device for
multi-omics data and survival analysis
12 Received a certified award from Ministry
of Oceans and Fisheries
(Above-average Salaries in the industry/
Excellence in Work-life Balance)
06 Selected as an excellent corporation RD
Center by the Ministry of Science and ICT
06 Selected as an outstanding small and
medium sized company in 2021
(Contributing to the growth of the
industry)
(Above-average Salaries in the industry)
07 Registered a domestic patent on
developing camera-integrated tenderloin
imaging device
11 The 28th Agricultural Day : Presidential
Commendation Award
2018 2019 2020 2021 2022 2023 2024

Company Overview Partners
Beyond collaboration,
we build partnership
for mutual growth!
Through real-time business cooperation, Insilicogen, Inc.
improves the product development and services with
the leading bioinformatics and IT group.

Data Analysis
Biobase(QIAGEN)
BioBam Bioinformatics S.L.
Biomax Informatics AG
CLC bio(QIAGEN)
Gene Codes Corporation
geneXplain GmbH
Ingenuity(QIAGEN)
OmicSoft Corporation(QIAGEN)
Petagene
ThermoFisher Scientific Korea
Agilent Technologies Korea
Company Overview Partners
Data Production
DNA Link
LabGenomics
Macrogen
BioCore
Seoul Clinical Laboratories
Celemics
Seasun Biomaterials
CJ Bioscience
Ajou University Medical Center
Weedahm Oriental Hospital
SFC
Database Hardware
Mutecsoft
Daewon CTS
ThinkTek
Zinion
Misoinfo
Naver
Dell Korea
Oracle Korea
Intel Korea
IBM Korea
Lenovo Korea
Amazon Korea
Education
Gachon Univ.
Kangwon National Univ.
Konkuk Univ.
Kyung Hee Univ.
Sangmyung Univ.
Sungkyunkwan Univ.
Sejong Univ.
Sookmyung Women’s Univ.
Soonchunhyang Univ.
Soongsil Univ.
Ajou Univ.
Yeungnam Univ.
Chung-Ang Univ.
Chonnam National Univ.
Jeonbuk National Univ.
Chungnam National Univ.
Chungbuk Univ.
Hanyang Univ.
Sales Marketing
Qiagen Korea
ThermoFisher Scientific Korea
HanDok
Bioplus
Ventech Science
Dawinbio
Pigenomics
Eloombio
Hanall
Bion-tech

We provide integrated bioinformatics
services that support researchers
in effectively utilizing data,from production,
analysis,and management to training.
We support researchers in analyzing and utilizing data more precisely and efficiently based on
bioinformatics technology. We offer multi-omics data analysis services, including NGS-based
genomics, transcriptomics, and proteomics, and enhance the precision of bioinformatics
research through customized services tailored to research objectives.
Additionally, we provide an integrated solution combining bioinformatics software, consulting,
and training, enabling researchers to directly analyze and utilize data.
By integrating bioinformatics, big data, and AI technologies, we will continue to support
researchers in building the optimal analysis environment and conducting more accurate bio research.
Solution Education SI
Analysis
Business Area Bioinformatics

HUMAN
Human disease association analysis, gene
network and molecular mechanism research
ANIMAL PLANT
Gene variation and expression analysis
related to useful traits
MICROBIOME
Genomics projects, gene structure and
function analysis, metagenome analysis
Analysis
Domesticandoverseasexperts
providefastandreliablecustomized
bioinformaticsanalysisservices.
Analysis
We provide bioinformatics analysis services based on NGS (Next-Generation Sequencing),
covering all areas of life sciences, including genomics, transcriptomics, and variant analysis.
We propose methodologies tailored to the client's needs and objectives, and engage in
discussions with the client based on the results.
With over 60 bioinformatics specialists and collaboration with international partners, we offer
services optimized for the client's goals through bioinformatics analysis pipelines and knowledge
built over many years. Experience a comprehensive service, from interpreting complex existing
data to exploring specialized new research areas.
Analysis of 500TB raw data in decoding 70 genomes
Korean beef, abalone, flatfish, rockfish, red pepper, sweet potato, cucumber, red seabream, mushroom, etc.
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Variation
01 Exploration of genetic variants associated with cerebrovascular
diseases based on KoGES GWAS analysis
02 Discovery of the genetic factor and mechanism for Papaver petal
color
03 Comparative genomics for HIV
04 Identification of prediction markers for Platycodon grandiflorus
05 Discovery of the early diagnostic markers of degenerative disease
of a house dog
06 Korean breast cancer WES analysis
07 Discovery breed-classification markers of Chestnut
08 Haliotis discus hannai(abalone) population study
09 Undaria pinnatifida population study
10 Discovery of Functional Gene and variant on ‘Korean beef’
11 Variant analysis among Traditional chicken strains
12 Coturnix japonica variant analysis among subspecies
13 Caenorhabditis elegans comparative genome analysis using
variants
14 Methylation/mRNA/miRNA chip analysis on the breast and stomach
cancer
15 Variant analysis on Rice strains and discovery novel gene discovery
16 Cabbage SNP marker selection
17 Variant analysis among Chili pepper strains
18 Discovery of the strain identification marker of Lettuce
19 Discovery of the origin identification marker of milk vetch root
20 Discovery of the species identification marker of Brucella
Genome
01 Powdery mildew (fungus) genome analysis
02 Senna tora genome analysis
03 8 fishes genome project (Epinephelus akaara, Thamnaconus
modestus, Misgurnus mizolepis, Anguilla japonica, Hypomesus
nipponensis,Theragra Chalcogramma, Platichthys stellatus, and
Amphiprioninae)
04 Development of liquid biopsy NGS pipelines and clinical reporting
system
05 Seawater/Freshwater Bivalvia genome project
06 Haliotis discus hannai genome analysis
07 Trombiculidae, factor of Scrub typhus, genome analysis
08 Coturnix japonica genome analysis
09 Minke whale genome analysis
10 Analysis of the genomic sequence and variant of Chili pepper
Cabbage genome analysis
11 Gracilariopsis chorda(red algae) genome analysis , Gelidium
vagum(red algae) genome analysis , Undaria pinnatifida genome
analysis
12 Xylaria(fungi) genome analysis
13 Cochliobolus miyabeanus(Brown spot disease) genome analysis
14 Phellinus linteus(Fungi) genome analysis
15 Genome analysis for Hansenula polymorpha
16 Comparative genomics among Fusarium subspecies
17 Oplegnathus fasciatus, Sebastes schlegelii, Pagrus major and
Chelon haematocheilus genome analysis
18 Scolopendra subspinipes genome analysis
Analysis
Transcriptome
01 Differentially expressed gene network analysis in human muscle
for identifying intervention markers to prevent sarcopenia caused
by aging
02 Initial response on protein medicine in human PBMC
03 Transcriptome profiling for human sepsis
04 Human brain tumor senescence transcriptional association study
05 Transcriptome and Pathway analysis on the ‘Korean beef’
06 Genetically modified mouse(GEM) RNA-sequencing
07 Discovery marker from Equus ferus caballus Transcriptome
analysis
08 Comparative transcriptomics between two Haliotis discus
subspecies
09 De novo transcriptome assembly of Frankliniella occidentalis
10 piRNA/miRNA/small RNA Expression profile of Chicken
11 Establishment of the EST information of Korean domestic canine
12 Transcriptome analysis and discovery of novel AMP on
Scolopendra subspinipes
13 Discovery novel AMP and transcriptome analysis on the cockroach
14 De novo transcriptome and DEG/pathway analysis on Valeriana
fauriei
15 Transcriptome profiling for marine fish with bacterial infection
16 De novo transcriptome and functional DEGs/pathway analysis on
the grass
17 Leaf color gene expression profile on the rice
18 Gene expression profile of the radiation effect on Arabidopsis
thaliana
19 Panax ginseng ESTs analysis
20 De novo transcriptome assembly and DEG analysis on the
Bostrychia
21 Gene expression profile of Pleurotus ostreatus by developmental
stage
22 Gene expression difference between asexsual and sexual
reproduction of the Fusarium sp Comparative genomics
01 Genome-enabled discovery of anthraquinone biosynthesis in Senna
tora
02 Expansion of alginate, ferredoxin, and transporter related gene families
led to the evolution of brown algae in the Stramenopiles.
03 Chromosome-Scale Genome Assemblies of Two Korean Cucumber
Inbred Lines.
04 Pangenome analysis with Enterococcus
Single Cell Analysis
01 Single-cell transcriptomic analysis of LPS-induced acute lung injury
alleviation mediated by low-dose radiation therapy
Epigenome
01 Epigenetic response for heat stress in Haliotis discus hannai
02 The multi-omics analysis on ‘Korean beef’ (RNA/MBD-seq)
03 The multi-omics analysis to discover a genetic effect of the
Chinese medicine (RNA/Epic850k)
04 Cancer Stem Cell(CSC) Histone CHIP-seq analysis
05 Mouse WGBS analysis

SOFTWARE
Providing software consulting and
solutions tailored to the researcher's goals
HARDWARE
Optimized hardware consulting and
provision for research environments
We provideoptimizedanalysis
infrastructureforresearch,
acceleratingtheresearchpace.
Solution
We provide infrastructure that allows researchers to perform analysis directly.
We supply globally recognized bioinformatics solutions domestically and
offer consulting and training to ensure easy utilization by researchers.
Serving 120 institutions and 100,000 customers
CLC Genomics Workbench · Omics Box · HGMD · Ingenuity Pathway Analysis · OmicSoft · QCII
Solution

incoSEMINAR
Regular seminars for sharing the
latest bioinformatics trends and
technologies
SEMINAR
SEMINAR
incoWORKSHOP
Professional workshop to
improve practical bioinformatics
analysis capabilities
WORKSHOP
WORKSHOP
incoINTERNSHIP
A hands-on program for training
bioinformatics professionals in
bio RD basics
INTERNSHIP
INTERNSHIP
incoEDU
An online bioinformatics education
platform offering various courses
from basics to advanced levels
E
ED
DU
U
KOBIC
Collaboration with Korea Bioinformation
Center (KOBIC)
EDUCATION CENTER
EDUCATION CENTER
Theeducationalprogramof人Cois
the driving forcebehindtheadvancementofbioinformatics.
We provide practical training tailored to the needs of domestic research institutions and companies, fostering talent to
lead bio RD. Experts in computational analysis, genomics, transcriptomics, and programming design customized
curricula, offering hands-on training with the latest bioinformatics solutions.
Trained 10,000 professionals across 50 institutions
Education
Education

Leadingtheinformatizationof
knowledgethatbreatheslifeinto
informationwithinthesystem
Built 60 systems across 41 institutions
CODA, NABIC, MAGIC, the dementia big data platform AlzNAVi, and genetic information search systems for
Korean War casualties and missing children
Based on over 20 years of experience, Insilicogen's system integration business offers
platforms that maximize the utilization of research data, including genomics and omics
data integration, bioinformatics analysis, and ontology-based archiving.
We collaborate with research institutions and companies to build bioinformatics platforms
that enhance data quality and reliability, improving research productivity and efficiency
through precise data management and systematic analysis.
SI
SI

SI(SYSTEM INTEGRATION)
Genomics·omics Data Integration
Platform
Standardizing and integrating diverse genomics and omics
data to maximize research efficiency
• Ensuring data consistency through standardization
• Supporting data sharing and collaboration in large-scale
projects
• Enhancing research efficiency through optimized analysis
and search
Data Bioinformatics Analysis
System
Building a research environment for analyzing integrated
research data
• Enhancing data reliability for accurate analysis results
• Improving data management efficiency through a systematic
analysis environment
• Supporting intuitive interpretation through data visualization
Ontology-based Archiving
Platform
Organizing and structuring research data semantically to
enhance knowledge utilization
• Quick access to desired data through semantic search
• Supporting machine learning optimization and AI-based
analysis
• Maximizing utilization by clearly defining data relationships
SI

SI
ConstructionofanIntegratedInformationSystem
[KoreaCentersforDiseaseControlandPrevention]EstablishmentofClinicalGeneticManagementSystemforRare
Diseases
[KoreaBioinformationCenter]EstablishmentofQualityManagementSystemforBiodata
[NationalMarineBiodiversityInstituteofKorea]DevelopmentofMarineBioDataCenterPlatform
[NationalInstituteofFisheriesScience]Establishmentofnationalfisheriesbiologicalzoneintegrationsystem
[KoreaAtomicEnergyResearchInstitute]Standardizationoffoodandquarantineradiationresponsedataand
establishmentofmanagementsystem
[CentersforDiseaseControlPrevention]ClinicalOmicsDataArchive(CODA)
[NationalInstituteofAgriculturalSciences]Agriculturalbiotechnology-informationsystem(NABIC)
[NationalResearchInstituteofCulturalHeritage]Ancientgeneticinformationsystem
[NationalInstituteofAnimalScience]Livestockgeneticresourcetotalmanagementsystem
[NationalInstituteofAnimalScience]Animalgeneticinformationsystem
[NationalResearchInstituteofCulturalHeritage]Ancienthumanbonetraitsintegrationinformationsystem
OmicsAnalysisandManagementSystemDevelopment
[KoreaCentersforDiseaseControlandPrevention]Establishmentofamulti-omicsinformationanalysissystemfor
COVID-19confirmedpatients
[NationalResearchInstituteofCulturalHeritage]AncientlifegeneticsbigdataDBsystem
[KISTI-KoreanInstituteofScienceandTechnologyInformation]Web-basedmulti-omicsintegrationanalysisinterface
[KISTI-KoreanInstituteofScienceandTechnologyInformation]Next-generationbioresearchanalysistechnologyfor
Internationalcooperationresearchsupport
[KISTI-KoreanInstituteofScienceandTechnologyInformation]User-customizednext-generationgeneticsdata
integrationanalysissystem
GeneticResourceManagementandDBDevelopment
[GachonUniversityMedicalCampus]Establishmentofamedicaldatabaseforintermediaryresearchrelatedto
COVID-19rest
[KoreaBioinformationCenter]EstablishmentofGeneticRegistrationandManagementSystem
[CentersforDiseaseControlPrevention]IntegrateddatabaseconstructionofKor-GLASS
[MinistryofFoodandDrugSafety]FoodpoisoningbacteriaintegrationinformationDBsystem
[CentersforDiseaseControlPrevention]VirusgeneDBacceleration
[CentersforDiseaseControlPrevention]Foodpoisoningvirussurveillanceoperationsystemandgeneticanalysismodule
development
[CentersforDiseaseControlPrevention]NervoussystemvirusgeneDBfunctionimprovementandextension
[AnimalandPlantQuarantineAgency]Geneticvariationmanagementsystem
[NationalInstituteofFisheriesScience]Marinelifesinglenucleotideinformationmanagementsystem
[CentersforDiseaseControlPrevention]Systemforreal-timeacutediarrheadisease-causingagentDBoperation
[AnimalandPlantQuarantineAgency]GeneticanalysisresultsandDBmanagementsystem
[NationalInstituteofFisheriesScience]LiferesourcesintegrationDB
[NationalResearchInstituteofCulturalHeritage]AncienthumanskeletonY-SNPandancientlifegeneticinformationDB
system
[KoreaResearchInstituteofBioscienceBiotechnology]Geneticallymodifiedmousedatacollectingcomputingsystem
Bio-bankSystem
[VHSMedicalCenter]EstablishmentofBioBankandgeneticinformationmanagementsystem
RecordManagementSystemDevelopment
[Shinan-gun,Jeollanamdo]ProductiontraceabilitymanagementsystemforShinanBaysaltprestige
[NamwonEnvironmentally-FriendlyBlackPorkClusterEnterpriseOrganization]Environmentally-friendlyGowonblackpork
recordmanagementtrackingsystem
[HankyongNationalUniversity]EvergreenHongcheonKorean-beefRFIDrecordinformationmanagementsystem
[KoreaInstituteforAnimalProductsQualityEvaluation]Smartbeefrecordsystemadvancement
[ChonnamNationalUniversity]GreenKorean-beefpopulationmanagementsystem
[HankyongNationalUniversity]Jangsucountrypopulationmanagementsystem
AnalysisandDevelopmentofaLargeVolumeofDB
[KISTI-KoreanInstituteofScienceandTechnologyInformation]Integratedanalysissystemforbiodegradablenetworkbig
data
[AgencyforDefenseDevelopment]Unknownagentintegratedverificationsystem
[KISTI-KoreanInstituteofScienceandTechnologyInformation]Alzheimerdatanetworknavigationprogramandintegrated
analysisplatform
[KISTI-KoreanInstituteofScienceandTechnologyInformation]Astronomicalspacedataanalysisclouduserinterface
[KISTI-KoreanInstituteofScienceandTechnologyInformation]Proteininteractionandcomputersimulation
integrationmanagementsystem
[KISTI-KoreanInstituteofScienceandTechnologyInformation]Interfaceformanagingvirtualcluster
[KISTI-KoreanInstituteofScienceandTechnologyInformation]Resourcemanagementportalsystemforbrain
imaginginformationextractionapplicationanalysis
[NationalMarineBiodiversityInstituteofKorea]Nationalmarinefisheryresourcesgeneticsinformationmanagementsystem
GeneticInspectionSystemDevelopment
[MinistryoftheInteriorandSafety]CompulsorymobilizationvictimDNAidentityvalidationDB
[MinistryofUnification]GeneticinformationofseparatedfamiliesDB
[KISTI-KoreanInstituteofScienceandTechnologyInformation]Web-basedmulti-omicsintegratedanalysisinterface
[KoreaInstituteforAnimalProductsQualityEvaluation]Beef-recordlaboratoryinformationmanagementsystem
[CriminalInvestigationCommand]GeneticinformationidentificationsystemoffallensoldiersfromtheKoreanWar(6.25)
[NationalForensicService]Geneticinformationsearchsystemforfindingmissingchildren
SampleManagementandGeneticBarcode
[NationalInstituteofBiologicalResources]Wildlifeintegratedgeneticinformationsystem
[NationalInstituteofFisheriesSciences]Marinelifesample-securingDBandmanagementsystem
[ChungnamNationalUniversity]MarineliferesourcedonationregistryagencyIntegrationmanagementsystem
[RDA-GenebankInformationCenter]Agriculturalgeneticresourcesbarcodingsystem

Semantic Modeling
Maximize research efficiency by semantically
structuring bioinformatics data and build a
standardized data interpretation environment
Machine Learning
Analyze patterns and create predictive
models by learning large-scale bioinformatics
data such as genomes and transcriptomes
Deep Learning
Processing complex biological data and
deriving gene functions using advanced
analysis techniques based on neural networks
AI plays a key role in biology, with deep learning and large language models (LLMs)
revolutionizing data interpretation and research efficiency. Bio big data, including multi-omics,
literature, and medical imaging, is analyzed by AI to transform it into meaningful knowledge.
Insilicogen’s AI technology supports time-series data, large-scale unstructured data in
healthcare and pharmaceuticals, and image analysis, uncovering hidden patterns and insights
through structuring and machine learning. Combining LLM and Retrieval-Augmented Generation
(RAG) technologies maximizes research efficiency through real-time data interpretation and
literature summarization.
We lead innovation in life sciences research with AI-based data analysis, providing optimal AI
solutions for precise decision-making.
In the process of transforming
data into knowledge,
our AI is here to assist you.
Business Area AI

Research project
[Korea Disease Control and Prevention Agency]Building a large-scale computing-based AI pipeline and visualization
[Rowan] Establishment of a personalized content-based recommendation system for dementia
[National Institute of Fisheries Science]Establishment of flatfish growth prediction model based on machine learning
[Korea Institute for Animal Products Quality Evaluation]Establishment of a mechanized quality evaluation system for Korean beef
based on artificial intelligence
[D.iF]Food object detection and classification by deep learning
[National Research Institute of Cultural Heritage]Establishment of machine learning model to predict termite damage of wooden
cultural heritage
[Korea Institute for Animal Products Quality Evaluation]Beef quality estimation by image analysis (Deep Learning) and machine
learning
[National Institute of Animal Science]Maker selection for degenerative disease by machine learning
[National Institute of Fisheries Science]Development of machine learning model for prediction of high temperature tolerance for
abalone
[Ministry of Environment]Construction of environmentally hazardous material-genomics knowledge-based and Development of
semantics-based technology
[Ministry of Environment]Excavation of indicators for heavy metal toxicology using toxicogenomics
[Food Industry Technology Support Center] Coordination analysis among health function,culture,excellence geographic location
of Korean food and Korean food ingredient
[Korea Food Research Institute] Traditional food semantics database construction and analysis program
[Korea Food Research Institute] Construction of semantics database and korean food specialized ontology
[Pusan National University]Construction of anti-aging molecular network of aging Database
[Korea Food Research Institute] Development of InsilicoFood pilot system through the integrated analysis of food information
[Kwang Dong] Development of iF DB based dry complex system DB and h-pilot system
Patent and Program Registration
[Patent Registration 10-2021-0168283] System for risk prediction of osteoporosis
[Patent Registration 10-2118103] Method for measuring the fineness of marbling using ribeye image of Korean beef
[Patent Registration 10-2067076]Biomarker composition for prediction or diagnosis of canine patellar lunation
[Patent Registration 10-2018-0156903]Biomarker composition for prediction or diagnosis of canine patellar lunation
[Patent Application 10-2019-0023081] Biomarker composition for diagnosing lung cancer comprising peptide nucleic acid
[PatentApplication10-2019-0025109]Highsensitivegeneticvariationdetectionandreportingsystembasedonbarcodesequence
[Patent Application 10-2019-0155754]Biomarker composition for prediction or diagnosis of canine degenerative Diseases
[Patent Registration 10-1107582] Web-based ontology editing operation system
[Program Registration 2011-01-121-005389] Smart-TGM heavy metals toxicity-index excavating tools
[Program Registration 2011-01-129-001569] WeightViz by weight visualization tool
[Program Registration C-2014-030421] Personal genomics-based obesity risk computing program
[PCT Application pct110125] Web-based ontology editing operation system
[Patent Application 10-2014-0163505]Customized personal traits dietary ingredients for information character-chemical agent
network system and providing methods
[Patent Application 10-2014-0170397]Personal genomics-based obesity risk analysis system and method
[Patent Application 10-2015-0156844]Customized food information recommendation system considering personal genotype
and phenotype information
incoCV
• OpenCV
• Image Detection (YOLO v3)
• Image Classification
• Image Segementation (U-Net)
We can apply the latest deep learning algorithms that detect objects
from the image in real-time and divide the significant areas from the
image by using segmentation technology. Additionally,
we generalize the images in various ways through computer image
preprocessing technology to apply the latest deep learning
algorithms with the highest accuracy possible.
Image Detection, Segmentation, and Classification
incoLLM
• Large Language Model
• PEFT
• RAG
• LangChain
• Vector DB
This platform supports literature search, data-driven knowledge
inference, analysis automation, and customized information
generation in life science research. Key features include domain
-specific LLM development, RAG-based knowledge inference
system, and custom LLM chatbot applications.
Bioinformatics-specific Generative AI Platform
incoRECOM
Beyond the existing collaborative filtering and content-based filter-
ing, we provide a solution that customizes products in the company
based on the latest recommendation system that combines existing
machine learning and deep learning
technique. We suggest optimal recommendation results to achieve
the target indicator based on product meta-information, customer
meta-information, and target indicator information.
Artificial Intelligence Recommender System
• Wide Deep Learning for Recommender System
• Deep FM
• AutoRec
• KGCN
Business Area AI

An innovativefood solutionproviding
data-driven,personalizedfood
informationusingAIandbigdata
It recommends optimized nutritional components based on data and supports personalized health
management.
Over the past decade, we have collected reliable scientific information from trusted sources like the
Rural Development Administration, the Ministry of Food and Drug Safety, and the NIH, using 28 million
bio-food big data entries based on domain-specific standards to provide accurate information.
Precision Nutrition and
Healthcare
We provide information to prevent diseases
and promote a healthy life through
personalized nutrition management.
Customized Health
Supplements and Diet
We provide information on health
supplement development and customized
diets.
Dietary Management for
the Elderly and SpecialGroups
We provide personalized food solutions for
individuals with chronic diseases like diabetes
and hypertension, as well as the elderly.
Business Area Data Food

Personalized Meal Plan
Solution
• AI-driven meal recommendations in collaboration with
nutritionists
• Personalized meal plans based on location, environment,
ingredient costs, and other factors
Personalized Food Recommendation
Solution
• Provide personalized meal information (main dishes, sides,
soups, snacks) based on surveys and health goals
• Tailored food recommendations based on individual health
data
• Provide metabolic component information of recommended
foods and meals
AI Meal Prescription
Solution
• Allergy-restricted meal prescriptions and management for
each patient
• Review AI-generated meal plans for nutrition
• Dietary feedback for patients on prescribed meal plans
• Database of meal plans, foods, ingredients, nutrients, and
allergies
OUR SERVICES
Customized food/meal
recommendation API
API service providing personalized nutrition information by
linking food and health data
Exploring bioactive compounds in
biomaterials
Exploring and listing bioactive compounds from agricultural
and marine biomaterials
Discovering health supplement
ingredients
Deep data-driven database of health supplement ingredients
and efficacy prediction
SOLUTIONS
Korea's No.1 data-driven
food recommendation app
ifood is an app service for working moms or housewives
with children aged 6-11, recommending foods and
products tailored to them and their kids.
AI-driven customized
group meal solution
ifoodplan supports nutritionists nationwide
based on expertise gained from providing
various food recommendation services.
Business Area Data Food

The Future of the seed industry lies within the data
generated through digital breeding technologies.
Agriculture
Effective Selective Breeding is feasible
through data breeding.
Fishery
Time to acquire economic trait will be
reduced.
Animal Husbandry
Optimal characteristics will be maintained
through the simulation of crossbreeding.
Business Area Data Breeding
Insilicogen will harness data breeding to uncover high-value resources in the fields of pharmaceuticals, bioproducts, and energy,
extending beyond seeds, which are the fundamental source of sustenance. We are dedicated to integrating biological information,
big data, and AI technology to discover novel seeds in silico, relentlessly seeking the foundational value for the future bio-industry.
Download Digital Breeding Casebook(Vol.1) Download Digital Breeding Casebook(Vol.2)

Phenotype-Genotype
customized database
construction
Standardized phenotype and genotype big
data design and development
Phenotypic Prediction
Modeling
Machine learning modeling for selection of
superior individuals based on data breeding
Phenotypic
Prediction
Genotype-based phenotypic prediction
using machine learning models
Breeding Efficiency
Prediction
Breeding guidelines for superior trait
preservation
OUR SERVICES
Business Area Data Breeding
Machine learning for trait prediction
• Genotype-phenotype association marker search
(GWAS/FST)
• Calculation of heritability index for each marker
• Establishment of a machine learning phenotype prediction
model
Phenotype-genotype integrated data
analysis
• Genotyping and SNP chip development
• RIL population variant exploration
• Elite lineage variant exploration and inter-lineage relatedness
estimation
• Group analysis - PCA, STRUCTURE, Phylogeny
• MABC marker discovery and construction of
phenotype-genotype database
Breeding simulation
• Calculation of breeding value
(GBLUP, ssBLUP, rrBLUP)
• Calculation of valid group
• Mating simulation and mating efficiency test
SOLUTIONS
Customized Data Analysis
De novo decoding and beneficial gene
discovery based on bioinformatics
Genotyping
Customized genotype analysis services for
breeding optimization
Molecular Detection Kit
Development of rapid and economical
molecular detection kits for economically
important traits (quantitative traits, disease
resistance, etc.)

AI-driven precision analysis enables
the rapid discovery of stable and
effective peptides.
Based on multi-omics research, we select millions of natural peptides from biological sources.
We predict not only efficacy but also potential side effects, eliminating risks in advance.
By considering binding affinity with target proteins, we identify peptides with the highest success potential,
accelerating the development of safer, more reliable peptides and revolutionizing the value of biological materials.
Eco-friendly Bio Materials
Biologically derived safe peptides can be
used in various fields, including antibiotic
alternatives, biocompatible cosmetic
ingredients, and eco-friendly pest control.
Personalized Treatment
We analyze individual patient data to design
personalized peptides and provide optimized
treatment solutions.
Functional Ingredients
for Dietary Supplements
We select functional peptides for use as active
ingredients in various health supplements,
including immune support, antioxidants, and
anti-inflammatory products.
Business Area Data Peptide

ipep
• Biochemical activation module
• Machine learning module
• Molecular docking module
SOLUTIONS
New Drug Candidates
Select bioactive peptides with antimicrobial,
anticancer, antiviral, and anti-inflammatory
properties for efficient new drug candidate
discovery
Customized Treatment
Analyze individual genetic and immune data
to design personalized peptide treatments
Functional Food Ingredients
Research on functional peptides with effects
like immune boost, antioxidant, and gut
health improvement
Bio Cosmetics
Discover peptide ingredients with various
skin benefits, including antioxidant, acne,
and dermatitis treatment
Biosensors / Diagnostics
Development of high-sensitivity diagnostic
sensors using biomarker peptides for rapid
and accurate diagnosis
Biological Environmental
Remediation
Research on peptide materials that degrade
pollutants like microplastics, heavy metals,
and toxins
Biological Pesticide
Design and use of species-specific binding
peptides for eco-friendly pest and disease
control
OUR SERVICES
Business Area Data Peptide

Public Relation Achievements
Certifications
01 Certified youth-friendly small and medium sized
company From Ministry of Employment and Labor
2024.01.01 / 2026.12.31
02 Certificate of professional research business operator
(order research: engineering research and develop-
ment business) From Ministry of Science and ICT
2022.06.27 / 2024.10.20
company(excellent wage) From Ministry of
Employment and Labor 2022.01.01 / 2023.12.31
04 Designated excellent corporate research institute
From Ministry of Science and ICT
2021.06.22 / 2024.06.21
05 Direct production certificate(Big-data analysis)
From Korea Federation of SMEs
2021.03.17 / 2023.03.16
06 Direct production certificate(Software development)
From Ministry of Employment and Labor
2021.03.17 / 2023.03.16
company(excellent wage/outstanding work-life
balance) From Ministry of Employment and Labor
2021.01.01 / 2021.12.31
08 Confirmation of Innovative business management
in small and medium sized company(MAIN-BIZ)
From Small and Medium Business Administration
2020.06.27 / 2023.06.26
company (outstanding work-life balance) From
Ministry of Employment and Labor
2020.01.01 / 2020.12.31
company (occupational safety) From Ministry of
Employment and Labor 2018.01.01 / 2018.12.31
11 Selected as the best service company From Korea
Credit Guarantee Fund 2017.08.04
12 Approved as a research Institute From KOITA
2007.06.18
Patent Registration
01 System for selection of genetic markers and method
for breed identification (10-269735) 2024.08.16
02 Camera-integrated tenderloin imaging device
(10-2554362) 2023.07.06
03 Human body type and metabolic susceptibility SNP
marker and diagnostic information provision method
(10-2093453) 2020.03.19
04 Prediction and diagnosis method of canine
degenerative joint disease(10-2067076) 2020.01.10
05 Targeted gene screening method and device using
multi-omics data and survival analysis(10-1107582)
2019.11.01
06 DNA search method(10-1287400) 2013.07.12
07 Web-based ontology editing operation system
(10-1107582) 2012.01.12
Awards
01 Official commendation for contributions to
advancement in agricultural technology
From Presidential Award 2023.11
02 Official commendation for contributions to the
advancement of the food industry From the Minister
of Agriculture, Food and Rural Affairs 2020.12
03 Official commendation for contributions to the
development of the marine and fisheries industry
From the Minister of Oceans and Fisheries 2019.12
04 Official commendation on promoting experimental
research of fishery From the Minister of Ocean and
Fisheries 2018.12
05 Official commendation on excellence in management
From the Gyeonggi Provincial Small and Medium
Business Administration 2016.02
Registered Mark
01 iF®(INSILICO FOOD) 2017.11.01
Program Registration
01 Registered 76 programs including KinMatch
(Birth related information search system)
Applied Patent
01 A device provides gene expression information and
6 others

Public Relation Achievements Blog Knowledge Based Platforms
incoDOM
• Bioinformatics knowledge-sharing platform
• 2,500 professional articles
incoBLOG
• A platform for sharing research trends and
insights in bioinformatics
• 500 blog posts
incoEDU
• Online educational platform
• Offers an integrated learning experience linked to
hands-on offline training (includes registration,
certificate issuance, pre-learning and review tools)
Insilicogen’s bioinformatics knowledge platform shares biological information, proceeds
online and offline bioinformatics educational programs, and provides various contents for
big-data search-based bioinformatics analysis that leads to online purchases.
Knowledge-based
bioinformatics platform,
70,000 monthly users!

01 Lee WY, Dinh PTN, Chung Y, Lee HJ, Koh
YJ, et al. (2025) Precise phenotyping
method using image data for carcass mar-
bling score in Hanwoo cattle. PLOS ONE
20(1): e0318058. https://doi.org/10.1371/
journal.pone.0318058
02 Lee J-H, Son H, Subramaniyam S, Lim H-J,
Park S, Choi R-Y, Kim I-W, Seo M, Kweon
H-Y, Kim Y, et al. Impact of Edible Insect
Polysaccharides on Mouse Gut Microbiota:
A Study on White-Spotted Flower Chafer
Larva (Protaetia brevitarsis seulensis) and
Silkworm Pupa (Bombyx mori). Foods.
2025; 14(1):6. https://doi.org/10.3390/
foods14010006
03 Choi J, Cho S, Choi S, Jung M, Lim Y-j, Lee
E, Lim J, Park HY, Shin Y. Genotype-Driven
Phenotype Prediction in Onion Breeding:
Machine Learning Models for Enhanced
Bulb Weight Selection. Agriculture. 2024;
14(12):2239. https://doi.org/10.3390/agri-
culture14122239
04 Zin H, Lim J, Shin Y, Kim B, Yoon M, Ha
K, Cho S. Genomic Insights into Vibrio
parahaemolyticus from Southern Korea:
Pathogenicity, Antimicrobial Resistance,
and Phylogenetic Distinctions. Microor-
ganisms. 2024; 12(12):2497. https://doi.
org/10.3390/microorganisms12122497
05 Kim, JW., Kim, J., Cho, J.Y. et al. Associ-
ation Between Muscle Growth and Tran-
scription of a Mutant MSTN Gene in Olive
Flounder (Paralichthys olivaceus). Mar
Biotechnol 26, 599–608 (2024). https://
doi.org/10.1007/s10126-024-10322-y
06 Park H, Jung M, Lim Y, et al. Genome
Resources for Identifying SNPs Associated
With Eight Horticultural Traits in Commer-
cial Korean Elite Radish (Raphanus sativus)
Lines. Plant Breeding. Published online De-
cember 2024. doi:https://doi.org/10.1111/
pbr.13250.
07 Park HY, Lim Y-j, Jung M, Sathiyamoor-
thy S, Heo SH, Park B, Shin Y.Genome of
Raphanus sativus L. Bakdal, anelite line
of large cultivated Korean radish.Front
Genet. 2024 Jan 18;15:2024.doi: 10.3389/
fgene.2024.1328050.
08 Noh ES, Subramaniyam S, Cho S, Kim Y,
Park C, Lee J, Nam B, Shin Y. Genotyping
of Haliotis discus hannai and machine
learning models to predict the heat
resistant phenotype based on genotype.
Front Genet. 2023 Mar 31;14:1151427.
doi: 10.3389/fgene.2023.1151427.PMID:
37065481.
09 Jung KW, Kim J, Jung HJ, et al. Curve Fit-
ting Algorithm of Functional Radiation-Re-
sponse Data Using Bayesian Hierarchical
Gaussian Process Regression Model. IEEE
Access. 2023;11:7109-7116. doi:https://doi.
org/10.1109/access.2023.3237395.
10 Moon S-J, Choi H-J, Kye Y-H, Jeong G-Y,
Kim H-Y, Myung J-K, Kong G. CTTN Over-
expression Confers Cancer Stem Cell-like
Properties and Trastuzumab Resistance
via DKK-1/WNT Signaling in HER2 Positive
Breast Cancer. Cancers. 2023; 15(4):1168.
https://doi.org/10.3390/cancers15041168.
11 Malik A, Subramaniyam S, Kim CB,Mana-
valan B. SortPred: The first machine
learning based predictor to identify
bacterial sortases and their classes using
sequence-derived information. Comput
Struct Biotechnol J. 2022 Dec 14;20:165-
174. doi: 10.1016/j.csbj.2021.12.014. PMID:
34976319; PMCID: PMC8703055.
12 Mi XJ, Tran THM, Park HR, Xu XY,Subra-
maniyam S, Choi HS, Kim J, Koh SC, Kim
YJ. Immune-enhancing effects of postbi-
otic produced by Bacillus velezensis Kh2-2
isolated from Korea Foods. Food Res Int.
2022 Feb;152:110911. doi: 10.1016/j.food-
res.2021.110911. PMID: 35181083.
13 Graf L, Shin YH, Yang JH, Hwang IK, Yoon-
HS. Transcriptome analysis reveals the
spatial and temporal differentiation of gene
expression in the sporophyte of Undaria
pinnatifida. Algal Research. 2022 Nov;68,
102883. doi: 10.1016/j.algal.2022.102883.
Public Relation Achievements 98 Published Articles (2009-2025)

14 Kim C, Kim JS , Lee HJ, Seong B, Seo SW,
Son HJ , Jeon JH , Shin YH. Transcriptome
analysis demonstrating the therapeutic
effect of Tenodera angustipennis (Mantidis
Ootheca) extracts on radiation-induced
gonadal toxicity in mouse testis. Entomo-
logical Research. 2022 Jul 20; 52(7), 319-
326. doi: 10.1111/1748-5967.12604.
15 Kwon YI, Lee JY, Park JH, Kim YM,
Kim SH,Won YJ, Kim HY. Osteoporosis
Pre-Screening Using Ensemble Machine
Learning in Postmenopausal Korean Wom-
en. Healthcare. 2022 Jun 11; 10(6), 1107.
doi: 10.3390/healthcare10061107. PMID:
35742158; PMCID: PMC9222287.
16 Lee CW, Cheon KS, Shin YJ, Oh HJ,
JeongYM, Jang H, Park YC, Kim KY, Cho
HC, Won YJ, Baek JH, Cha YS, Kim SL,
Kim KH, Ji HS. Development and Appli-
cation of a Target Capture Sequencing
SNP-Genotyping Platform in Rice. Genes.
2022 Apr 28;13(5), 794. doi: 10.3390/
genes13050794. PMID: 35627177; PMCID:
PMC9141132.
17 Shin G, Hong J, Park S, Kang BC, Lee BM.
Visualization for Integrated Analysis of
Multi-Omics Data by Harmful Substances
Exposed to Human. Journal of Korea Multi-
media Society. 2022; 25(2) 363-373.
18 Shin G, Hong J, Park S. Novel data archival
system for multi-omics data of human
exposure to harmful substances. Molecular
Cellular Toxicology. 2022;18(2):277-283.
doi:https://doi.org/10.1007/s13273-022-
00226-0
19 Noh ES, Kang BC, Kim J, Jeon JH, Kim
YO,Byun SG, Kim WJ, Nam BH. Draft
Assembled Genome of Walleye Pollock
(Gadus chalcogrammus). Front Marin.
2022 Feb 16; 9:744941. Doi: 10.3389/
fmars.2022.744941.
20 Shin Y, Noh ES, Jeon J-H, Shin G-H, Kim
EM, Kim Y-O, Kim H, Jung H and Nam
B-H (2022) First Draft Genome of a Mud
Loach (Misgurnus mizolepis) in the Family
Cobitidae. Front. Mar. Sci. 8:799148. doi:
10.3389/fmars.2021.799148.
21 Jo S, Seo S, Jung K, Bai H. Radiation-
response data analysis using Bayesian
nonparametric regression models with
shape-restriction. J Kor Data Infor. Sci.
Soc. 2021; 32:1295.
22 Song K, Shin Y, Jung M, Subramaniyam
S, Lee KP, Oh EA, Jeong JH, Kim JG.
Chromosome-Scale Genome Assemblies
of Two Korean Cucumber Inbred Lines.
Front Genet. 2021 Nov 19;12:733188.
doi: 10.3389/fgene.2021.733188. PMID:
34868208; PMCID: PMC8640492.
23 Xuan B, Park J, Choi S, You I, Nam BH,
Noh ES, Kim EM, Song MY, Shin Y, Jeon
JH, Kim EB. Draft genome of the Korean
smelt Hypomesus nipponensis and its
transcriptomic responses to heat stress in
the liver and muscle. G3 (Bethesda). 2021
Sep 6;11(9):jkab147. doi: 10.1093/g3jour-
nal/jkab147. PMID: 33944944; PMCID:
PMC8496316.
24 Whon TW, Ahn SW, Yang S, Kim JY, Kim
YB, Kim Y, Hong JM, Jung H, Choi YE,
Lee SH, Roh SW. ODFM, an omics data
resource from microorganisms associat-
ed with fermented foods. Sci Data. 2021
Apr 20;8(1):113. doi: 10.1038/s41597-
021-00895-x. PMID: 33879798; PMCID:
PMC8058077.
25 Shin Y, Subramaniyam S, Chun JM,
JeonJH, Hong JM, Jung H, Seong B, Kim
C. Genome-Wide Differential Methylation
Profiles from Two Terpene-Rich Medicinal
Plant Extracts Administered in Osteo-
arthritis Rats. Plants (Basel). 2021 Jun
2;10(6):1132. doi: 10.3390/plants10061132.
PMID: 34199631; PMCID: PMC8227118.
26 Yu GE, Shin Y, Subramaniyam S, KangSH,
Lee SM, Cho C, Lee SS, Kim CK. Machine
learning, transcriptome, and genotyp-
ing chip analyses provide insights into
SNP markers identifying flower color in
Platycodon grandiflorus. Sci Rep. 2021
Apr 13;11(1):8019. doi: 10.1038/s41598-
021-87281-0. PMID: 33850210; PMCID:
PMC8044237.

27 Kim S, Subramaniyam S, Jung M, Oh
EA,Kim TH, Kim JG. Genome Resource of
Podosphaera xanthii, the Host-Specific
Fungal Pathogen That Causes Cucurbit
Powdery Mildew. Mol Plant Microbe Inter-
act. 2021 Apr;34(4):457-459. doi: 10.1094/
MPMI-11-20-0307-A. Epub 2021 Mar 3.
PMID: 33264046.
28 Lee JH, Jung M, Shin Y, Subramaniyam S,
Kim IW, Seo M, Kim MA, Kim SH, Hwang
J, Choi EH, Hwang UW, Hwang JS. Draft
Genome of the Edible Oriental Insect Pro-
taetia brevitarsis seulensis. Front Genet.
2021 Jan 13;11:593994. doi: 10.3389/
fgene.2020.593994. PMID: 33519896;
PMCID: PMC7838600.
29 Lee SC, Lee JW, Lee DH, Huh MJ, NamI,
Park JH, Jung M, Park IK. Identification of
Sex Pheromone Components of Korean Di-
oryctria abietella (Lepidoptera: Pyralidae)
Population and Synergism of Pheromone
and Pine Cone Volatile Blends. J Econ
Entomol. 2021 Dec 1:toab227. doi: 10.1093/
jee/toab227. Epub ahead of print. PMID:
34865067.
30 Jeong GY, Park MK, Choi HJ, An HW,
ParkYU, Choi HJ, Park J, Kim HY, Son T,
Lee H, Min KW, Oh YH, Le e JY, Kong G.
NSD3-Induced Methylation of H3K36
Activates NOTCH Signaling to Drive Breast
Tumor Initiation and Metastatic Progres-
sion. Cancer Res. 2021 Jan 1;81(1):77-90.
doi: 10.1158/0008-5472.CAN-20-0360.
Epub 2020 Sep 23. PMID: 32967925.
31 Hwang SD, Hwang JY, Sohn S, Kim SM,Kim
SR, Kim KI, Kwon MG, Jung M, Lee KY,
Kang BC, Seo JS. Genome data of shrimp
acute hepatopancreatic necrosis disease
causative Vibrio parahaemolyticus strains
isolated from South Korea aquaculture
farms. Data Brief. 2020 May 13;31:105697.
doi: 10.1016/j.dib.2020.105697. PMID:
32509934; PMCID: PMC7264491.
32 Seo D, Cho S, Manjula P, Choi N, Kim YK,-
Koh YJ, Lee SH, Kim HY, Lee JH. Identifica-
tion of Target Chicken Populations by Ma-
chine Learning Models Using the Minimum
Number of SNPs. Animals (Basel). 2021
Jan 19;11(1):241. doi: 10.3390/ani11010241.
PMID: 33477975; PMCID: PMC7835996.
33 Kang SH, Pandey RP, Lee CM, Sim JS,-
Jeong JT, Choi BS, Jung M, Ginzburg D,
Zhao K, Won SY, Oh TJ, Yu Y, Kim NH,
Lee OR, Lee TH, Bashyal P, Kim TS, Lee
WH, Hawkins C, Kim CK, Kim JS, Ahn BO,
Rhee SY, Sohng JK. Genome-enabled
discovery of anthraquinone biosynthesis
in Senna tora. Nat Commun. 2020 Nov
18;11(1):5875. doi: 10.1038/s41467-020-
19681-1. Erratum in: Nat Commun. 2021
Mar 8;12(1):1665. PMID: 33208749; PM-
CID: PMC7674472.
34 Graf L, Shin Y, Yang JH, Choi JW, HwangIK,
Nelson W, Bhattacharya D, Viard F, Yoon
HS. A genome-wide investigation of the
effect of farming and human-mediated
introduction on the ubiquitous seaweed
Undaria pinnatifida. Nat Ecol Evol. 2021
Mar;5(3):360-368. doi: 10.1038/s41559-
020-01378-9. Epub 2021 Jan 25. PMID:
33495590; PMCID: PMC7929912.
35 Chun JM, Lee AY, Nam JY, Lee MY,
ChoeMS, Lim KS, Kim C, Kim JS. Protec-
tive effects of Phlomis umbrosa extract
on a monosodium iodoacetate-induced
osteoarthritis model and prediction of mo-
lecular mechanisms using transcriptomics.
Phytomedicine. 2021 Jan;81:153429. doi:
10.1016/j.phymed.2020.153429. Epub
2020 Dec 1. PMID: 33310311.
36 Kim JS, Shin IS, Shin NR, Nam JY, Kim C.
Genome‑wide analysis of DNA methylation
and gene expression changes in an oval-
bumin‑induced asthma mouse model. Mol
Med Rep. 2020 Sep;22(3):1709-1716. doi:
10.3892/mmr.2020.11245. Epub 2020 Jun
17. PMID: 32705270; PMCID: PMC7411290.
37 Lee JE, Jung M, Lee SC, Huh MJ, SeoSM,
Park IK. Antibacterial mode of action
of trans-cinnamaldehyde derived from
cinnamon bark (Cinnamomum verum)
essential oil against Agrobacterium tu-
mefaciens. Pestic Biochem Physiol. 2020
May;165:104546. doi: 10.1016/j.pest-
bp.2020.02.012. Epub 2020 Feb 19. PMID:
32359541.

38 Kim DH, Kim WD, Kim SK, MoonDH, Lee SJ.
TGF-β1-mediated repression of SLC7A11
drives vulnerability to GPX4 inhibition in
hepatocellular carcinoma cells. Cell Death
Dis. 2020 May 29;11(5):406. doi: 10.1038/
s41419-020-2618-6. PMID: 32471991;
PMCID: PMC7260246.
39 Subramaniyam S, Bae S, Jung M, ShinY,
Oh JH. The transcriptome data from the
leaves of four Papaver species captured
at the plant’s three developmental life
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40 Boopathi V, Subramaniyam S, Mathiyal-
agan R, Yang DC. Till 2018: a survey of
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2019 Jun 20. PMID: 32095095; PMCID:
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41 Liyanage DS, Oh M, Omeka WKM, WanQ,
Jin CN, Shin GH, Kang BC, Nam BH,
Lee J. First Draft Genome Assembly of
Redlip Mullet (Liza haematocheila) From
Family Mugilidae. Front Genet. 2019 Dec
3;10:1246. doi: 10.3389/fgene.2019.01246.
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42 Kyeong D, Kim J, Shin Y, SubramaniyamS,
Kang BC, Shin EH, Park EH, Noh ES, Kim
YO, Park JY, Nam BH. Expression of Heat
Shock Proteins in Thermally Challenged
Pacific Abalone Haliotis discus hannai.
Genes (Basel). 2019 Dec 23;11(1):22.
doi: 10.3390/genes11010022. PMID:
31878084; PMCID: PMC7016835.
43 Lee SC, Kwon JH, Cha DJ, Kim DS, LeeDH,
Seo SM, Lee HR, Huh MJ, Jung M, Park
IK. Effects of Pheromone Dose and Trap
Height on Capture of a Bast Scale of Pine,
Matsucoccus thunbergianae (Hemiptera:
Margarodidae) and Development of a New
Synthesis Method. J Econ Entomol. 2019
Aug 3;112(4):1752-1759. doi: 10.1093/jee/
toz079. PMID: 31009531.
44 Kang MJ, Shin AY, Shin Y, Lee SA, Lee
HR,Kim TD, Choi M, Koo N, Kim YM, Kyeo-
ng D, Subramaniyam S, Park EJ. Identifica-
tion of transcriptome-wide, nut weight-as-
sociated SNPs in Castanea crenata. Sci
Rep. 2019 Sep 11;9(1):13161. doi: 10.1038/
s41598-019-49618-8. PMID: 31511588;
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45 Nam BH, Yoo D, Kim YO, Park JY, ShinY,
Shin GH, Park CI, Kim H, Kwak W. Whole
genome sequencing reveals the impact of
recent artificial selection on red sea bream
reared in fish farms. Sci Rep. 2019 Apr
24;9(1):6487. doi: 10.1038/s41598-019-
42988-z. Erratum in: Sci Rep. 2020 Jan
28;10(1):1625. PMID: 31019228; PMCID:
PMC6482192.
46 Kim S, Jung M, Oh EA, Ho Kim T, Kim
JG.Mitochondrial genome of the Po-
dosphaera xanthii: a plant pathogen
causes powdery mildew in cucur-
bits. Mitochondrial DNA B Resour.
2019 Nov 20;4(2):4172-4173. doi:
10.1080/23802359.2019.1618209. PMID:
33366368; PMCID: PMC7687534.
47 Boopathi V, Subramaniyam S, Malik
A,Lee G, Manavalan B, Yang DC. mACP-
pred: A Support Vector Machine-Based
Meta-Predictor for Identification of
Anticancer Peptides. Int J Mol Sci.
2019 Apr 22;20(8):1964. doi: 10.3390/
ijms20081964. PMID: 31013619; PMCID:
PMC6514805.
48 Choi H, Jin S, Cho H, et al. CDK 12
drives breast tumor initiation and tras-
tuzumab resistance via WNT and IRS
1‐ErbB‐ PI 3K signaling. EMBO reports.
2019;20(10). doi:https://doi.org/10.15252/
embr.201948058.
49 Kim HY, Choi BH, Oh T, Kang BC. SNP-
marker selection for dog breed identifica-
tion from genotypes of high-density SNP
array and machine learning. J Agri Lif Sci.
2019 Aug 6;53:(4)93-101. Doi:10.14397/
jals.201953.4.93.

50 Kim HY, Choi HJ, Lee JY, Kong G. Cancer-
Target Gene Screening: a web application
for breast cancer target gene screening
using multi-omics data analysis. Brief Bio-
inform. 2020 Mar 23;21(2):663-675. doi:
10.1093/bib/bbz003. PMID: 30698638.
51 Kim JY, Lim HY, Shin SE, Cha HK, Seo
JH,Kim SK, Park SH, Son GH. Comprehen-
sive transcriptome analysis of Sarcophaga
peregrina, a forensically important fly spe-
cies. Sci Data. 2018 Nov 6;5:180220. doi:
10.1038/sdata.2018.220. PMID: 30398471;
PMCID: PMC6219405.
52 Shin Y, Jung M, Shin GH, Jung HJ, BaekSJ,
Lee GY, Kang BC, Shim J, Hong JM, Park
JY, An CM, Kim YO, Noh JK, Kim JW, Nam
BH, Park CI. First draft genome sequence
of the rock bream in the family Oplegnathi-
dae. Sci Data. 2018 Oct 23;5:180234. doi:
10.1038/sdata.2018.234. PMID: 30351299;
PMCID: PMC6198749.
53 Shin GH, Shin Y, Jung M, Hong JM, LeeS,
Subramaniyam S, Noh ES, Shin EH, Park
EH, Park JY, Kim YO, Choi KM, Nam BH,
Park CI. First Draft Genome for Red Sea
Bream of Family Sparidae. Front Gen-
et. 2018 Dec 12;9:643. doi: 10.3389/
fgene.2018.00643. PMID: 30619468;
PMCID: PMC6299066.
54 Manavalan B, Subramaniyam S, ShinTH,
Kim MO, Lee G. Machine-Learning-Based
Prediction of Cell-Penetrating Peptides
and Their Uptake Efficiency with Improved
Accuracy. J Proteome Res. 2018 Aug
3;17(8):2715-2726. doi: 10.1021/acs.jpro-
teome.8b00148. Epub 2018 Jul 2. PMID:
29893128.
55 Baek SJ, Chun JM, Kang TW, Seo YS,Kim
SB, Seong B, Jang Y, Shin GH, Kim C.
Identification of Epigenetic Mechanisms
Involved in the Anti-Asthmatic Effects of
Descurainia sophia Seed Extract Based on
a Multi-Omics Approach. Molecules. 2018
Nov 5;23(11):2879. doi: 10.3390/mole-
cules23112879. PMID: 30400597; PMCID:
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56 Kim D,Jung M,Ha IJ, Lee MY, Lee SG,
ShinY, Subramaniyam S, Oh J. Transcrip-
tional profiles of secondary metabolite
biosynthesis genes and cytochromes
in the leaves of four Papaver Species.
Data 2018 Nov 28;3(4):55. Doi: 10.3390/
data3040055.
57 Oh J, Shin Y, Ha IJ, Lee MY, Lee SG,
KangBC, Kyeong D, Kim D. Transcrip-
tome Profiling of Two Ornamental and
Medicinal Papaver Herbs. Int J Mol Sci.
2018 Oct 16;19(10):3192. doi: 10.3390/
ijms19103192. PMID: 30332811; PMCID:
PMC6213990.
58 Jung D, Seo EY, Owen JS, Aoi Y, YongS,
Lavrentyeva EV, Ahn TS. Application of
the filter plate microbial trap (FPMT), for
cultivating thermophilic bacteria from
thermal springs in Barguzin area, eastern
Baikal, Russia. Biosci Biotechnol Bio-
chem. 2018 Sep;82(9):1624-1632. doi:
10.1080/09168451.2018.1482194. Epub
2018 Jun 8. PMID: 29882485.
59 Lee HR, Lee SC, Lee DH, Jung M, KwonJH,
Huh MJ, Kim DS, Lee JE, Park IK. Identi-
fication of Aggregation-Sex Pheromone
of the Korean Monochamus alternatus
(Coleoptera: Cerambycidae) Population,
the Main Vector of Pine Wood Nematode.
J Econ Entomol. 2018 Aug 3;111(4):1768-
1774. doi: 10.1093/jee/toy137. PMID:
29788181.
60 Lee AY, Park W, Kang TW, Cha MH,
ChunJM. Network pharmacology-based
prediction of active compounds and
molecular targets in Yijin-Tang acting on
hyperlipidaemia and atherosclerosis. J Eth-
nopharmacol. 2018 Jul 15;221:151-159. doi:
10.1016/j.jep.2018.04.027. Epub 2018 Apr
23. PMID: 29698773.
61 Lee JY, Joo HS, Choi HJ, Jin S, Kim HY,-
Jeong GY, An HW, Park MK, Lee SE, Kim
WS, Son T, Min KW, Oh YH, Kong G. Role of
MEL-18 Amplification in Anti-HER2 Ther-
apy of Breast Cancer. J Natl Cancer Inst.
2019 Jun 1;111(6):609-619. doi: 10.1093/
jnci/djy151. PMID: 30265336.

62 Choi HJ, Joo HS, Won HY, Min KW, KimHY,
Son T, Oh YH, Lee JY, Kong G. Role of
RBP2-Induced ER and IGF1R-ErbB Signal-
ing in Tamoxifen Resistance in Breast Can-
cer. J Natl Cancer Inst. 2018 Apr 1;110(4).
doi: 10.1093/jnci/djx207. PMID: 29028222.
63 Oh JH, Lee YJ, Byeon EJ, Kang BC,
Kyeoung DS, Kim CK. Whole-genome
resequencing and transcriptomic analysis
of genes regulating anthocyanin bio-
synthesis in black rice plants. 3 Biotech.
2018 Feb;8(2):115. doi: 10.1007/s13205-
018-1140-3. Epub 2018 Feb 7. PMID:
29430376; PMCID: PMC5801106.
64 Lee J, Yang EC, Graf L, Yang JH, Qiu
H,Zelzion U, Chan CX, Stephens TG, Weber
APM, Boo GH, Boo SM, Kim KM, Shin Y,
Jung M, Lee SJ, Yim HS, Lee JH, Bhat-
tacharya D, Yoon HS. Analysis of the Draft
Genome of the Red Seaweed Gracilariop-
sis chorda Provides Insights into Genome
Size Evolution in Rhodophyta. Mol Biol
Evol. 2018 Aug 1;35(8):1869-1886. doi:
10.1093/molbev/msy081. PMID: 29688518.
65 Kim J, Jun KM, Kim JS, Chae S, PahkYM,
Lee TH, Sohn SI, Lee SI, Lim MH, Kim
CK, Hur Y, Nahm BH, Kim YK. RapaNet: A
Web Tool for the Co-Expression Analysis
of Brassica rapa Genes. Evol Bioinform
Online. 2017 Jun 19;13:1176934317715421.
doi: 10.1177/1176934317715421. PMID:
28680265; PMCID: PMC5484627.
66 Umasuthan N, Bathige SDNK, Thulasi-
tha WS, Jayasooriya RGPT, Shin Y, Lee
J. Identification of a gene encoding a
membrane-anchored toll-like receptor
5 (TLR5M) in Oplegnathus fasciatus
that responds to flagellin challenge and
activates NF-κB. Fish Shellfish Immunol.
2017 Mar;62:276-290. doi: 10.1016/j.
fsi.2017.01.020. Epub 2017 Jan 19. PMID:
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67 Thulasitha WS, Umasuthan N, WanQ,
Nam BH, Kang TW, Lee J. A proto-type
galectin-2 from rock bream (Oplegna-
thus fasciatus): Molecular, genomic, and
expression analysis, and recognition of mi-
crobial pathogens by recombinant protein.
Dev Comp Immunol. 2017 Jun;71:70-81.
doi: 10.1016/j.dci.2017.01.023. Epub 2017
Jan 25. PMID: 28131766.
68 Kim HY, Choi JW, Lee JY, Kong G. Gene-
based comparative analysis of tools for
estimating copy number alterations using
whole-exome sequencing data. Onco-
target. 2017 Apr 18;8(16):27277-27285.
doi: 10.18632/oncotarget.15932. PMID:
28460482; PMCID: PMC5432334.
69 Nam BH, Kwak W, Kim YO, Kim DG,
KongHJ, Kim WJ, Kang JH, Park JY, An
CM, Moon JY, Park CJ, Yu JW, Yoon J,
Seo M, Kim K, Kim DK, Lee S, Sung S,
Lee C, Shin Y, Jung M, Kang BC, Shin
GH, Ka S, Caetano-Anolles K, Cho S, Kim
H. Genome sequence of pacific abalone
(Haliotis discus hannai): the first draft
genome in family Haliotidae. Gigascience.
2017 May 1;6(5):1-8. doi: 10.1093/gigas-
cience/gix014. PMID: 28327967; PMCID:
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70 Cheong JY, Kim YB, Woo JH, Kim DK,Yeo
M, Yang SJ, Yang KS, Soon SK, Wang HJ,
Kim BW, Park JH, Cho SW. Identification of
NUCKS1 as a putative oncogene and im-
munodiagnostic marker of hepatocellular
carcinoma. Gene. 2016 Jun 10;584(1):47-
53. doi: 10.1016/j.gene.2016.03.006. Epub
2016 Mar 9. PMID: 26968889.
71 Shin GH, Kang BC, Jang DJ. Metabol-
ic Pathways Associated with Kimchi,
a Traditional Korean Food, Based on
In Silico Modeling of Published Data.
Genomics Inform. 2016 Dec;14(4):222-
229. doi: 10.5808/GI.2016.14.4.222. Epub
2016 Dec 31. PMID: 28154515; PMCID:
PMC5287128.
72 Park YJ, Li X, Noh SJ, Kim JK, Lim SS,Park
NI, Kim S, Kim YB, Kim YO, Lee SW, Arasu
MV, Al-Dhabi NA, Park SU. Transcriptome
and metabolome analysis in shoot and
root of Valeriana fauriei. BMC Genomics.
2016 Apr 23;17:303. doi: 10.1186/s12864-
016-2616-3. PMID: 27107812; PMCID:
PMC4842265.Q, Nam BH, Kang TW,
Lee J. A proto-type galectin-2 from rock
bream (Oplegnathus fasciatus): Molecular,
genomic, and expression analysis, and
recognition.

73 Kim IW, Lee JH, Subramaniyam S, Yun
EY,Kim I, Park J, Hwang JS. De Novo Tran-
scriptome Analysis and Detection of Anti-
microbial Peptides of the American Cock-
roach Periplaneta americana (Linnaeus).
PLoS One. 2016 May 11;11(5):e0155304.
doi: 10.1371/journal.pone.0155304. PMID:
27167617; PMCID: PMC4864078.
74 Seol YJ, Won SY, Shin Y, Lee JY, Chun
JS,Kim YK, Kim CK. A Multilayered
Screening Method for the Identification of
Regulatory Genes in Rice by Agronomic
Traits. Evol Bioinform Online. 2016 Nov
2;12:253-262. doi: 10.4137/EBO.S40622.
PMID: 27840573; PMCID: PMC5094579.
75 Nam BH, Jung M, Subramaniyam S,Yoo SI,
Markkandan K, Moon JY, Kim YO, Kim DG,
An CM, Shin Y, Jung HJ, Park JH. Tran-
scriptome Analysis Revealed Changes of
Multiple Genes Involved in Haliotis discus
hannai Innate Immunity during Vibrio para-
hemolyticus Infection. PLoS One. 2016 Apr
18;11(4):e0153474. doi: 10.1371/journal.
pone.0153474. PMID: 27088873; PMCID:
PMC4835058.
76 Shin Y, Jung HJ, Jung M, Yoo S, Sub-
ramaniyam S, Markkandan K, Kang JM,
Rai R, Park J, Kim JJ. Discovery of Gene
Sources for Economic Traits in Hanwoo by
Whole-genome Resequencing. Asian-Aus-
tralas J Anim Sci. 2016 Sep;29(9):1353-
62. doi: 10.5713/ajas.15.0760. Epub
2016 Mar 4. PMID: 26954201; PMCID:
PMC5003998.
77 Lim D, Kim HY, Cho YM, Chai HH, ParkJE,
Lim KS, Lee SS. Construction of gene
network system associated with eco-
nomic traits in cattle. J Lif Sci. 2016
Aug 23;26(8):04-910. doi: 10.5353/
JLS.2016.26.8.904.
78 Morganella S, Alexandrov LB, GlodzikD,
Zou X, Davies H, Staaf J, Sieuwerts AM,
Nik-Zainal S, et al. The topography of
mutational processes in breast cancer ge-
nomes. Nat Commun. 2016 May 2;7:11383.
doi: 10.1038/ncomms11383. PMID:
27136393; PMCID: PMC5001788.
79 Nik-Zainal S, Davies H, Staaf J, Raakr-
ishna M, Glodzik D, Zou X, Martincore-
na I, et al. Stratton MR. Landscape of
somatic mutations in 560 breast cancer
whole-genome sequences. Nature. 2016
Jun 2;534(7605):47-54. doi: 10.1038/
nature17676. Epub 2016 May 2. Erratum
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27135926; PMCID: PMC4910866.
80 Kim I, Lee SH, Jeong J, Park JH, YooMA,
Kim CM. Functional Profiling of Human
MeCP2 by Automated Data Comparison
Analysis and Computerized Expression
Pathway Modeling. Healthc Inform Res.
2016 Apr;22(2):120-8. doi: 10.4258/
hir.2016.22.2.120. Epub 2016 Apr 30. PMID:
27200222; PMCID: PMC4871842.
81 Yang EC, Nam BH, Noh SJ, Kim YO, KimDG,
Jee YJ, Park JH, Noh JH, Yoon HS. Com-
plete mitochondrial genome of Pacific ab-
alone (Haliotis discus hannai) from Korea.
Mitochondrial DNA. 2015;26(6):917-8. doi:
10.3109/19401736.2013.863289. Epub
2014 Jan 10. PMID: 24409885.
82 Park JY, An YR, Kanda N, An CM, An
HS,Kang JH, Kim EM, An DH, Jung H,
Joung M, Park MH, Yoon SH, Lee BY, Lee
T, Kim KW, Park WC, Shin DH, Lee YS,
Kim J, Kwak W, Kim HJ, Kwon YJ, Moon
S, Kim Y, Burt DW, Cho S, Kim H. Ceta-
ceans evolution: insights from the genome
sequences of common minke whales.
BMC Genomics. 2015 Jan 22;16(1):13.
doi: 10.1186/s12864-015-1213-1. PMID:
25609461; PMCID: PMC4311506.
83 Lee JY, Won HY, Park JH, Kim HY, ChoiHJ,
Shin DH, Kang JH, Woo JK, Oh SH, Son
T, Choi JW, Kim S, Kim HY, Yi K, Jang KS,
Oh YH, Kong G. MEL-18 loss mediates
estrogen receptor-α downregulation and
hormone independence. J Clin Invest.
2015 May;125(5):1801-14. doi: 10.1172/
JCI73743. Epub 2015 Mar 30. PMID:
25822021; PMCID: PMC4463188.

84 Kim H, Kumar KS, Hwang SY, Kang
BC,Moon HB, Shin KH. Utility of Stable
Isotope and Cytochrome Oxidase I Gene
Sequencing Analyses in Inferring Origin
and Authentication of Hairtail Fish and
Shrimp. J Agric Food Chem. 2015 Jun
10;63(22):5548-56. doi: 10.1021/acs.
jafc.5b01469. Epub 2015 Jun 2. PMID:
25980806.
85 Subramaniyam S, Mathiyalagan R, Natara-
jan S, Kim YJ, Jang MG, Park JH, Yang DC.
Transcript expression profiling for adventi-
tious roots of Panax ginseng Meyer. Gene.
2014 Aug 1;546(1):89-96. doi: 10.1016/j.
gene.2014.05.024. Epub 2014 May 13.
PMID: 24831831.
86 Mathiyalagan R, Subramaniyam S, KimYJ,
Kim YC, Yang DC. Ginsenoside compound
K-bearing glycol chitosan conjugates: syn-
thesis, physicochemical characterization,
and in vitro biological studies. Carbohy-
dr Polym. 2014 Nov 4;112:359-66. doi:
10.1016/j.carbpol.2014.05.098. Epub 2014
Jun 10. PMID: 25129755.
87 Kim CK, Seol YJ, Shin Y, Lim HM, Lee
GS,Kim AR, Lee TH, Lee JH, Park DS, Yoo
S, Kim YH, Kim YK. Whole-genome rese-
quencing and transcriptomic analysis to
identify genes involved in leaf-color diver-
sity in ornamental rice plants. PLoS One.
2015 Apr 21;10(4):e0124071. doi: 10.1371/
journal.pone.0124071. PMID: 25897514;
PMCID: PMC4405343.
88 Seo DW, Oh JD, Jin S, Song KD, Park
HB,Heo KN, Shin Y, Jung M, Park J, Jo C,
Lee HK, Lee JH. Single nucleotide poly-
morphism analysis of Korean native chick-
ens using next generation sequencing
data. Mol Biol Rep. 2015 Feb;42(2):471-7.
doi: 10.1007/s11033-014-3790-5. Epub
2014 Oct 11. Erratum in: Mol Biol Rep. 2015
Feb;42(2):567. PMID: 25304812.
89 Yoo WG, Lee JH, Shin Y, Shim JY, JungM,
Kang BC, Oh J, Seong J, Lee HK, Kong
HS, Song KD, Yun EY, Kim IW, Kwon YN,
Lee DG, Hwang UW, Park J, Hwang JS.
Antimicrobial peptides in the centipede
Scolopendra subspinipes mutilans. Funct
Integr Genomics. 2014 Jun;14(2):275-83.
doi: 10.1007/s10142-014-0366-3. Epub
2014 Mar 21. PMID: 24652097.
90 Kim S, Park M, Yeom SI, Kim YM, LeeJM,
Lee HA, Seo E, Choi D, et al. Genome
sequence of the hot pepper provides
insights into the evolution of pungency
in Capsicum species. Nat Genet. 2014
Mar;46(3):270-8. doi: 10.1038/ng.2877.
Epub 2014 Jan 19. PMID: 24441736.
91 Rengaraj D, Lee SI, Park TS, Lee HJ,
KimYM, Sohn YA, Jung M, Noh SJ, Jung
H, Han JY. Small non-coding RNA profiling
and the role of piRNA pathway genes
in the protection of chicken primordial
germ cells. BMC Genomics. 2014 Sep
4;15(1):757. doi: 10.1186/1471-2164-15-757.
PMID: 25185950; PMCID: PMC4286946.
92 Kim JH, Roh JY, Kwon DH, Kim YH, Yoon-
KA, Yoo S, Noh SJ, Park J, Shin EH, Park
MY, Lee SH. Estimation of the genome
sizes of the chigger mites Leptotrom-
bidium pallidum and Leptotrombidium
scutellare based on quantitative PCR and
k-mer analysis. Parasit Vectors. 2014 Jun
20;7:279. doi: 10.1186/1756-3305-7-279.
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93 Kim H, Yoo WG, Park J, Kim H, Kang BC.
Semantic Modeling for SNPs Associated
with Ethnic Disparities in HapMap Sam-
ples. Genomics Inform. 2014 Mar;12(1):35-
41. doi: 10.5808/GI.2014.12.1.35. Epub
2014 Mar 31. PMID: 24748859; PMCID:
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94 Kim KU, Park SK, Kang SA, Park MK,
ChoMK, Jung HJ, Kim KY, Yu HS. Com-
parison of functional gene annotation of
Toxascaris leonina and Toxocara canis
using CLC genomics workbench. Kore-
an J Parasitol. 2013 Oct;51(5):525-30.
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2013 Oct 31. PMID: 24327777; PMCID:
PMC3857499.

95 Jeong IS, Yoon UH, Lee GS, Ji HS,Lee
HJ, Han CD, Hahn JH, An G, Kim TH.
SNP-based analysis of genetic diversity
in anther-derived rice by whole genome
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doi: 10.1186/1939-8433-6-6. PMID:
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96 Kim DW, Kim DW, Yoo WG, Nam SH,Lee
MR, Yang HW, Park J, Lee K, Lee S, Cho
SH, Lee WJ, Park HS, Ju JW. SpiroESTdb:
a transcriptome database and online tool
for sparganum expressed sequences
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97 Lim D, Lee SH, Cho YM, Yoon D, Shin Y,Kim
KW, Park HS, Kim H. Transcript profiling of
expressed sequence tags from intramus-
cular fat, longissimus dorsi muscle and
liver in Korean cattle (Hanwoo). BMB Rep.
2010 Feb;43(2):115-21. doi: 10.5483/bm-
brep.2010.43.2.115. PMID: 20193130.
98 Lee KT, Byun MJ, Lim D, Kang KS, KimNS,
Oh JH, Chung CS, Park HS, Shin Y, Kim
TH. Full-length enriched cDNA library
construction from tissues related to energy
metabolism in pigs. Mol Cells. 2009 Dec
31;28(6):529-36. doi: 10.1007/s10059-
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