| No. |
Title/Author/Institution |
Abstract |
Poster |
MV/Q&A |
BIOINFO_P001 |
Multi omics enrichment pathway score analysis Jaemin Jeon, Inuk Jung(School of Computer Science and Engineering, Kyungpook National University, Daegu) | | | |
BIOINFO_P002 |
Topological normalization of pathway unit correlational network for fair comparative study Eonyong Han1, Inuk Jung1*(School of Computer Science and Engineering, Kyungpook National University, Daegu) | | | |
BIOINFO_P003 |
Combinatorial Modeling and Optimization using Iterative RL Search for Inferring Sample-Specific Regulatory Network Minsik Oh, Sangseon Lee, Sangsoo Lim, Dohoon Lee, and Sun Kim(Seoul National University) | | | |
BIOINFO_P004 |
Nano DSC를 이용한 지질샘플링 변인연구와 샘플간 오차 개선연구 Tae-Jun Won(Seoul National University of Science and Technology) | | | |
BIOINFO_P005 |
Computational inference of heterotypic cell interactions in single cell RNA-seq data Hanji Kim and Jin-Wu Nam(Department of Life Science, College of Natural Sciences, Hanyang University, Seoul) | | | |
BIOINFO_P006 |
COVID-19 GWAB : Functional Analysis of COVID-19 GWAS Data with Network-based Boosting Seungbyn Baek(Yonsei University) | | | |
BIOINFO_P007 |
Development of HPC-based global gene regulatory network inference system for investigating Alzheimer’s disease genes Younghoon Kim(KISTI) | | | |
BIOINFO_P008 |
An ensemble method for drug-target interaction prediction LU YIJINGXIU(Seoul National University) | | | |
BIOINFO_P009 |
Predicting changes in microbial metabolite productions using whole metagenomic sequencing data based on the microbial gene-metabolite network model Jungyong Ji, Sungwon Jung(Department of Health Sciences and Technology, GAIHST, Gachon University, Incheon 21999, Republic of Korea) | | | |
BIOINFO_P010 |
MRGM: Mouse Reference Gut Microbiome comprising 1,689 representative prokaryotic species Nayeon Kim, Chan Yeong Kim, Dongjin Park, Sang-Jun Ha and Insuk Lee(Yonsei University) | | | |
BIOINFO_P011 |
The Use of Photobiomodulation to Recover Post-Thawing Trauma in Stem Cells Woori Choi(Seoul National University) | | | |
BIOINFO_P012 |
Leveraging hierarchical knowledge as guide for representation learning on heterogeneous network for drug repurposing Dongmin Bang, Sangsoo Lim and Sun Kim(Seoul National University) | | | |
BIOINFO_P013 |
In silico prediction of drug-induced liver injury of drug candidates Jingyu Lee, Myeong-sang Yu, and Dokyun Na(Chung-Ang university) | | | |
BIOINFO_P014 |
A genetic algorithm-based gene set selection using subpathway activations for patient stratification in terms of subtype and survival outcome Bonil Koo, Dohoon Lee, Sangseon Lee, Inyoung Sung and Sun Kim(Seoul National University) | | | |
BIOINFO_P015 |
Deep learning reveals the general rules shaping the potential energy landscape of DNA methylation patterns Dohoon Lee, Sun Kim(Seoul National University) | | | |
BIOINFO_P016 |
Distinct compositional profiles of gut microbiota over hepatic steatosis severities in non-diabetic obese women. Han-June Kim(Yonsei University) | | | |
BIOINFO_P017 |
Fragmentation Pattern-based Scoring for Peptide Database Search Junhee Hong(Hanyang University) | | | |
BIOINFO_P018 |
Co-expression network for better understanding of cellular senescence Seon Jeong Woo, Dong Jun Shin, Yun Gyeon Lee, Ha Yeong Yang, Sohyun Hwang(Department of Biomedical Science, CHA University / Department of Pathology, CHA University, CHA Bundang Medical Center, Republic of Korea) | | | |
BIOINFO_P019 |
Comparing and evaluating metagenomic HiFi read assemblers Junyeong Ma(Yonsei University) | | | |
BIOINFO_P020 |
Identification of cellular senescence signatures for classifying senescence status based on machine learning approaches Dong Jun Shin(CHA university) | | | |
BIOINFO_P021 |
Network-Based Metric Space for Phenotypic Stratification of Samples Using Transcriptome Profiles Inyoung Sung, Dohoon Lee, Sangseon Lee and Sun Kim(Seoul National University) | | | |
BIOINFO_P022 |
AutoCoV: Tracking the Early Spread of COVID-19 in Terms of the Spatial and Temporal Dynamics from Embedding Space by K-mer Based Deep Learning Inyoung Sung, Sangseon Lee, Minwoo Pak, Yunyol Shin and Sun Kim(Seoul National University) | | | |
BIOINFO_P023 |
A Supervised Markovian Random Walk Model for Investigating Hepatotoxicity Signatures of Chemical Drugs with Structural Alerts Sangsoo Lim, Youngkuk Kim, Jeonghyeon Gu, and Sun Kim(Seoul National University) | | | |
BIOINFO_P024 |
Deep learning based peptide detectability in shotgun proteomics Juho Son(Department of Computer Science, Hanyang University) | | | |
BIOINFO_P025 |
Single Cell Transcriptome Meta-network Analysis Pipeline to Discover Regulators of Metastasis in Breast Cancer Junha Cha, Junhan Kim, and Insuk Lee(Yonsei University) | | | |
BIOINFO_P026 |
A Visual Data Mining System for Subcellular Location-specific Knowledge Mining from Multi-Omics Data in Cancer Minwoo Pak, Dabin Jeong, Sungjoon Park, Jeonghyeon Gu, Sun Kim(Seoul National University) | | | |
BIOINFO_P027 |
NovoFit: A Machine Learning Based Tool to Estimate False Discovery Rate of De Novo Sequencing Jihun Cha(Department of Computer Science, Hanyang University) | | | |
BIOINFO_P028 |
The role of known genetic variants in the base quality score recalibration for the genetic variant calling Sunhee Kim, Dongju Lee, and Chang-Yong Lee(Department of Industrial and Systems Engineering, Kongju National University) | | | |
BIOINFO_P029 |
Landscape of alternative splicing characterizes the epithelial-mesenchymal transition subtype of gastric cancer Yukyung Jun1,2,3,§, Yun-Suhk Suh1,4,5,6,§, SungHee Park1, Jong-Il Kim7, Sanghyuk Lee2,8, Wan-Ping Lee1,9,10,*, Olga Anczuków1*, Han-Kwang Yang4,5,11,* , Charles Lee1,2,8,9,*(1The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA 2Ewha-JAX Cancer Immunotherapy Research Center, Ewha Womans University, Seoul, Korea 3Center for Supercomputing Applications, Division of National Supercomputing, Korea Institute of Science and Technology Information, Daejeon, Korea 4Department of Surgery, Seoul National University College of Medicine, Seoul, Korea 5Department of Surgery, Seoul National University Hospital, Seoul, Korea 6Department of Surgery, Seoul National University Bundang Hospital, Seongnam, Korea 7Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea 8Department of Life Science, Ewha Womans University, Seoul, Korea 9The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China 10School of Cyber Science and Engineering, Xi’an Jiaotong University, Xi’an, China 11Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea) | | | |
BIOINFO_P030 |
Human reference gut microbiome including 5,414 prokaryotic species, including newly assembled genomes from under-represented Asian metagenomes Chan Yeong Kim, Muyoung Lee, Sunmo Yang, Kyungnam Kim, Dongeun Yong, Hye Ryun Kim, and Insuk Lee(Yonsei University) | | | |
BIOINFO_P031 |
Multi-cohort, multi-regional metagenomic association study of inflammatory bowel disease patients and non-IBD controls Sungho Lee, Insuk Lee(Yonsei University) | | | |
BIOINFO_P032 |
Data-based Virtual Screening for Selective Drug Discovery Jung Woo Park(Korea Institute of Science and Technology Information(KISTI)) | | | |
BIOINFO_P033 |
Whole exome sequencing in Korean patients with retinitis pigmentosa identified mutations in EYS SeungHee Jung, Siyeon Kim, YoungChan Park, JongYoung Lee, InSong Koh(Department of Biomedical informatics, Hanyang University) | | | |
BIOINFO_P034 |
Exome sequencing identified USH2A mutations in Korean patients with retinitis pigmentosa SeungHee Jung, YoungChan Park, JongYoung Lee, InSong Koh(Department of Biomedical informatics, Hanyang University) | | | |
BIOINFO_P035 |
Transcriptomic profiling of parathyroid tumors reveals distinctive molecular characteristics of carcinoma and adenoma Se-Young Jo, Namki Hong, Seunghyun Lee, Jong Ju Jeong, Jeongsoo Won, Jiho Park, Kijung Kim, Sang Kyum Kim, Sangwoo Kim, Yumie Rhee(Department of Biomedical Systems Informatics and Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea) | | | |
BIOINFO_P036 |
A robust benchmark for evaluation and improving mosaic variant calling strategies Yoo-Jin Ha, Jisoo Kim, Seungseok Kang, Junhan Kim, Se-Young Jo, and Sangwoo Kim*(Dept. of Biomedical Systems Informatics, Yonsei Univ. College of Medicine) | | | |
BIOINFO_P037 |
The regulatory impact of RNA-binding proteins on microRNA targeting Sukjun Kim, Soyoung Kim, Hee Ryung Chang, Doyeon Kim, Junehee Park, Narae Son, Joori Park, Minhyuk Yoon, Gwangung Chae, Young-Kook Kim, V. Narry Kim, Yoon Ki Kim, Jin-Wu Nam, Chanseok Shin, Daehyun Baek(School of Biological Sciences, Seoul National University) | | | |
BIOINFO_P038 |
A high-resolution temporal atlas of the SARS-CoV-2 translatome and transcriptome Doyeon Kim, Sukjun Kim, Joori Park, Hee Ryung Chang, Jeeyoon Chang, Junhak Ahn, Heedo Park, Junehee Park, Narae Son, Gihyeon Kang, Jeonghun Kim, Kisoon Kim, Man-Seong Park, Yoon Ki Kim, Daehyun Baek(Seoul National University, Korea University) | | | |
BIOINFO_P039 |
EGR1 knock-out uterus displays abnormal hyperproliferation and suppressed immune response after estrogen treatment GaeHoon Jo, Sang Hyun Kim, Haengseok Song, and Sohyun Hwang(Department of Biomedical Science, CHA University) | | | |
BIOINFO_P040 |
Comparative Analysis of Asthma Prediction Model Using Statistical and Artificial Intelligence Algorithms in KoGES Data Yongjun Choi(Department of Applied Artificial intelligence, Hanyang University (ERICA), Ansan, Korea) | | | |
BIOINFO_P041 |
EpiDab: Self-supervised transfer learning-based AI platform for neoantigen predictions Youngmahn Han(Korea Institute of Science and Technology Information) | | | |
BIOINFO_P042 |
Deep learning of binding interactions for peptide-MHC class I complex
revealed specific amino acid properties decisive in peptide binding JaeUng Hyun, Kwoneel Kim(Kyung Hee University) | | | |
BIOINFO_P043 |
Integrative Transcriptome-wide Analysis of Atopic Dermatitis for Drug-repositioning Jaeseung Song, Daeun Kim, Sora Lee, Junghyun Jung, Jong Wha J. Joo, Wonhee Jang(Dongguk University) | | | |
BIOINFO_P045 |
Multiple approaches to elucidate subtypes of lung cancer patients jiyeon kim, seokbo shim, kwoneel kim(KyungHee University) | | | |
BIOINFO_P046 |
Sex-specific Transcriptome Meta-analysis for Colorectal Cancer Eunyoung Choi, Jaeseung Song, Wonhee Jang(Department of Life Sciences, Dongguk University-Seoul, 04620, Seoul, Republic of Korea) | | | |
BIOINFO_P047 |
Meta-analysis of Female-specific Epigenetic Markers for Colorectal Cancer Yubin Lee, Jaeseung Song, Wonhee Jang(Department of Life Sciences, Dongguk University-Seoul) | | | |
BIOINFO_P048 |
Transcriptome-wide Analysis of Psoriasis and Ulcerative colitis for Potential Genetic Marker Yeonbin Jeong, Jaeseung Song, Wonhee Jang(Department of Life Sciences, Dongguk University-Seoul, 04620, Seoul, Republic of Korea) | | | |
BIOINFO_P049 |
Construction of a predictive convolutional neural network model for antimicrobial peptide sequences. Yu jeoung Shim(Dongguk University) | | | |
BIOINFO_P050 |
In silico screening for identifying compounds specifically bound to either NAD- or NADH-bound structures of redox-sensing transcriptional factor, Rex1 Chaeyoung Lim, Gyeongeun Lee, and Minho Lee(Dongguk University-Seoul) | | | |
BIOINFO_P052 |
Deep Learning based peptide detectability in shotgun proteomics Juho Son(Hanyang University) | | | |
BIOINFO_P053 |
Meta-Analysis of Gene-environmental interaction study for discovery of new genetic factors for asthma Junho Cha(Hanyang university) | | | |
BIOINFO_P055 |
Target-based Drug Repositioning in Papillary Renal Cell Carcinoma with TFE3 Fusion Sungjoo Han, Sejoon Lee, Jae Won Yun*, and Soyeon Ahn*(Seoul National University Bundang Hospital, Veterans Health Service Medical Center) | | | |
BIOINFO_P056 |
Identification of functionally relevant lncRNAs in mammalian T cells Youxi Cui and Jin-Wu Nam(Hanyang University) | | | |
