2023.02.01(수) | |||||
12:00 | 등록 및 Check In | ||||
Grand Ballroom I | Grand Ballroom II | ||||
13:00-14:40(100') | Session 1 | Organizer:
노재석(연세대학교) Chair: 박종훈(숙명여대) |
13:00-14:40(100') | Session 2 | Organizer:
배진우(경희대학교) 고아라(POSTECH) Chair: 허광래(충남대학교) |
Lessons from Human Cancer Genome | Current Trends in the Microbiome Research | ||||
13:00-13:25(25') | 김문종(가천대학교) |
13:00-13:20(20') | Intestinal degradation of trimethylamine by a novel gut bacterium reduces blood level of trimethylamine N-oxide, a risk factor for cardiovascular disease | 윤상선(연세대학교) | |
13:25-13:50(25') | 남석우(가톨릭대학교) | 13:20-13:40(20') | Metagenomic perspective in manipulating the human skin microbiome | 설우준(중앙대학교) | |
13:50-14:15(25') | 정재호(연세대학교) | 13:40-14:00(20') | Improvement of brain functions by modulating the gut-brain axis following kimchi or kimchi-probiotics intake | 최학종(세계김치연구소) | |
14:15-14:40(25') | 김종일(서울대학교) | 14:00-14:20(20') | Microbiota-induced vitamin A transport and its role in the intestinal immunity | 방예지(서울대학교) | |
14:20-14:40(20') | Recording biological surroundings from within | 임성순(KAIST) | |||
14:40-15:00(20') | Coffee Break | ||||
15:00-15:10(10') | * Opening Ceremony | ||||
15:10-16:00(50') | * Plenary Lecture I | Chair: 박웅양(삼성서울병원) | |||
Hierarchical Structural Component Models for Pathway Analysis | 박태성(서울대학교) | ||||
16:00-16:20(20') | Coffee Break | ||||
16:20-18:00(100') | Session 3 | Organizer:
김락균(연세대학교) Chair: 김태경(POSTECH) |
16:20-18:00(100') | Session 4 | Organizer:
김상철(국립보건연구원) Chair: 박현영(국립보건연구원) |
Recent Advances in Epigenomics | Application of Multiomics Study on COVID 19 | ||||
16:20-16:45(25') | 박현성(서울시립대학교) | 16:20-16:30(10') | 김상철(국립보건연구원) | ||
16:45-17:10(25') | DBC1 is a key positive regulator of enhancer epigenomic writers KMT2D and p300 | 김정훈(성균관대학교) | 16:30-16:50(20') | 박웅양(삼성서울병원) | |
17:10-17:35(25') | DNA methylome and single-cell transcriptome analyses reveal CDA as a potential druggable target for ALK inhibitor–resistant lung cancer therapy | 김미랑(KRIBB) | 16:50-17:10(20')
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조남혁(서울의대) | |
17:35-18:00(25') | 김승균(충남대학교) | 17:10-17:30(20') | 최정균(KAIST) | ||
17:30-17:50(20') | Time-course multi-omics data analysis for detecting severity related biomarkers in COVID-19 patients | 정인욱(경북대학교) | |||
17:50-18:00(10') | 패널토의 | 패널 |