Àå ¼Ò: ¸®¼Ø ¿À¼Ç ij½½(http://www.resom.co.kr/ocean/), Ãæ³² žȱº ¾È¸éµµ ²ÉÁö Çؼö¿åÀå
½Ã °£: 2013³â 7¿ù 12ÀÏ(±Ý) ~ 13ÀÏ(Åä)
Program - DayÀÏÁ¤ | ÁÖÁ¦ | ¹ßÇ¥ÀÚ | |
---|---|---|---|
08:00 ~ 10:30 | ÁýÇÕ ¹× Ãâ¹ß | ||
10:30~10:40 | °³È¸ | ||
10:40 ~ 11:40 | Session 1 | ¡¡ | |
¡¡ | 10:40~11:00 | Bayesian inference of genetic models of complex diseases | |
¡¡ | 11:00~11:20 | Bladder Cancer Cell lines and its Chemo-resistance profiles | |
11:20~11:40 | ÈÞ ½Ä | ¡¡ | |
11:40 ~ 12:20 | Session 2 | ¡¡ | |
¡¡ | 11:40~12:00 | Genomic characterization of drug perturbation sensitivity | |
¡¡ | 12:00~12:20 | Identifying disease variants in genotypic association | |
12:20~13:20 | Áß ½Ä | ¡¡ | |
13:20 ~ 14:20 | Session 3 | ¡¡ | |
¡¡ | 13:20~13:40 | Aging Pattern Clustering - Gender Difference | |
¡¡ | 13:40~14:00 | Early detection of pharmacovigilance adverse signals using controlled vocabularies | |
¡¡ | 14:00~14:20 | MELLO: Medical Life-Log Ontology | |
14:20~14:40 | ÈÞ ½Ä | ¡¡ | |
14:40~15:40 | Session 4 | ¡¡ | |
¡¡ | 14:40~15:00 | SNPChase : correcting errors from diverse SNV databases for SNVs | |
¡¡ | 15:00~15:20 | PhenoRanker: Personal genome sequence based phenotype ranking algorithm for potential risk prediction | |
¡¡ | 15:20~15:40 | PharmRank2:Personal genome sequence-based pharmacogenomic drug ranking with biomedical knowledge boosting | |
15:40~16:00 | ÈÞ ½Ä | ¡¡ | |
16:00~16:30 | Session 5 | ¡¡ | |
¡¡ | 16:00~16:30 | Health avatar platform ½Ã¿¬ | |
16:30~16:40 | Æó ȸ | ¡¡ | |
16:40~18:30 | Áü Á¤¸® ¹× °³ÀÎÈ°µ¿ | ¡¡ | |
19:00~ | Àú³á½Ä»ç | ¡¡ |
Àå ¼Ò: ´ë¸í ºñ¹ßµðÆÄÅ©, (http://www.daemyungresort.com/vp) °¿øµµ ȫõ±º ¼¸é
½Ã °£: 2013³â 2¿ù 4ÀÏ(¿ù) - 6ÀÏ (¼ö)
Program - Day 1ÀÏÁ¤ | ÁÖÁ¦ | ¹ßÇ¥ÀÚ | |
---|---|---|---|
08:30 ~ 10:00 | ÁýÇÕ ¹× Ãâ¹ß | ||
10:00~10:20 | °³È¸ | ||
Session 1 | Microarray Analysis & Functional Genomics | ¡¡ | |
¡¡ | 10:20~10:50 | Integrative Analysis of microRNA-target Interactions with Clinical Outcome | |
¡¡ | 10:50~11:20 | Functional Characterization of Yeast DNA Motif Clusters using Multiple Annotation Methods | |
¡¡ | 11:20~11:50 | Knowledge bootstrapping: A graph-based integration with multi-omics data and genomic knowledge | |
11:50~13:30 | Áß ½Ä | ¡¡ | |
Session 2 | NGS Data Analysis & Genome Interpretation (Part I) | ¡¡ | |
¡¡ | 13:00~13:30 | Signature of Nephrotic Syndrome: Whole Transcriptome Sequencing of Peripheral Mononuclear Cells from Pediatric Idiopathic Nephrotic Syndrome | |
¡¡ | 13:30~14:00 | Characterizing gene expression in lung tissue of COPD subjects using RNA-seq | |
14:00~14:20 | ÈÞ ½Ä | ¡¡ | |
¡¡ | 14:20~14:50 | Genomancer : A secure, modular and distributed system for interpreting personal genome on mobile smartphone | |
¡¡ | 14:50~15:20 | CREE a Tool for Comparison and Retrieving of RNA-editing Sites from RNA-seq Data | |
15:20~15:40 | ÈÞ ½Ä | ¡¡ | |
Session 3 | Medical Informatics (Part I) | ¡¡ | |
¡¡ | 15:40~16:10 | Metadata Registry based integration and transformation between openEHR archetype and HL7 template | |
¡¡ | 16:10~16:40 | CDISC Transformer: metadata driven semi-automatic transformation of clinical trial data to CDISC ODM | |
16:40~17:40 | Á¾ ·á | ¡¡ |
ÀÏÁ¤ | ÁÖÁ¦ | ¹ßÇ¥ÀÚ | |
---|---|---|---|
Session 1 | NGS Data Analysis & Genome Interpretation (Part II) | ¡¡ | |
¡¡ | 09:00~09:30 | Exome sequencing of Acute Myeloid Leukemia, M2 subtype | |
¡¡ | 09:30~10:00 | MedCassandra: Drug and ADR ranking forecast system based on personal genomic variation | |
¡¡ | 10:00~10:30 | Predicting disease predisposition patterns of the personal genome | |
10:30~10:50 | ÈÞ ½Ä | ¡¡ | |
Session 2 | Medical Informatics (Part II) | ¡¡ | |
¡¡ | 10:50~11:20 | HealthPro: Designing Search Strategies for Retrieving Data from Clinical Data Warehouse | |
¡¡ | 11:20~11:50 | Rapid identification of adverse drug reaction using controlled vocabularies | |
11:50~12:00 | Æó ȸ | ¡¡ |
Àå ¼Ò: ¶ó µ¥³ª Äܵµ¹Ì´Ï¾ö, (http://www.ladenaresort.com) °¿øµµ Ãáõ½Ã »ïõµ¿
½Ã °£: 2012³â 5¿ù 25ÀÏ(±Ý), ¿ÀÀü 10½Ã - ¿ÀÈÄ 6½Ã
ProgramÀÏÁ¤ | ÁÖÁ¦ | ¹ßÇ¥ÀÚ | |
---|---|---|---|
10:30~11:00 | °³È¸ | ||
Session 1 | NGS Data Analysis & Genome Interpretation | ¡¡ | |
¡¡¡¡ | 11:00~11:30 | Predicting disease predisposition of personal genome based on disease hierarchy | |
¡¡ | 11:30~12:00 | Loss of function gene-set analysis of personal genome using pathway-disease similarity | |
12:00~13:30 | Áᫎ | ¡¡ | |
Session 2 | Micoarray Analysis & Functional Genomics | ¡¡ | |
¡¡ | 13:30~14:00 | Extracting of coordinated patterns of DNA methylation and gene expression in ovarian cancer | |
¡¡ | 14:00~14:30 | Graph based integration with heterogeneous genomic data and genomic knowledge | |
¡¡ | 14:30~15:00 | GEE : A tool for Gene Expression data Explore | |
15:00~15:30 | Coffee break | ¡¡ | |
Session 3 | Pharmacogenomics & Clinical Informatics | ¡¡ | |
¡¡ | 15:30~16:00 | Rapid identification of adverse drug reaction using controlled vocabularies | |
¡¡ | 16:00~16:30 | HealthPro: An Integrated Informatics Platform for Clinical Research in Data Warehouse | |
16:30~17:00 | Æóȸ | ¡¡ |
2009³â °Ü¿ï RetreatÀº 2009³â 12¿ù 30ÀÏ~31ÀÏ ¿ëÀÎ ¿¡Äڱ׸°Å¸¿î¿¡¼ °³ÃֵǾú½À´Ï´Ù.
¹ßÇ¥ÀÚ·á (ppt and paper (word)) Deadline: 12¿ù 29ÀÏ 6:00pm
ProgramDinner: Barbeque party
2008³â °Ü¿ï RetreatÀº 2008³â 11¿ù 21ÀÏ ¿ë»ê¿ª ´ëȸÀǽǿ¡¼ °³ÃֵǾú½À´Ï´Ù.
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Program2008³â ¿©¸§ RetreatÀº 2008³â 7¿ù 14ÀÏ ¾çÆò ³²ÇÑ° º°Àå¿¡¼ °³ÃֵǾú½À´Ï´Ù.
°ü¸®ÀÎÀÌ »óÁÖÇϴ°ÍÀÌ ¾Æ´Ï¹Ç·Î ´ä»ç´Â »çÀü¿¡ ¹®ÀǸ¦ ÁÖ¼Å¾ß ÇÕ´Ï´Ù. [´ëÁß±³Åë] ±âÂ÷ ¼¿ïÀÇ °æ¿ì, û·®¸®¿ª¿¡¼ ¾çÆòÇà ±âÂ÷ Áß ±¹¼ö¿ª °æÀ¯ÇÏ´Â ±âÂ÷¸¦ ÀÌ¿ëÇÏ¼Å¾ß ÇÕ´Ï´Ù. (¿Â÷ Ãâ¹ß ½Ã°£Àº ¿ª¸¶´Ù Â÷ÀÌ°¡ ÀÖ½À´Ï´Ù. º°µµÀÇ È®ÀÎÀÌ ÇÊ¿äÇÕ´Ï´Ù) ¾çÆò¿ª ÇÏÂ÷½Ã ±¹¼ö¸®¿ªÇà ¹ö½º·Î ȯ½ÂÇϰųª Åýà ÀÌ¿ëÇÏ¼Å¾ß ÇÕ´Ï´Ù(Åýúñ ¾à 1¸¸¿ø) ¹ö½º »óºÀ¿ª ¹ö½ºÅ͹̳Î(½Ã¿Ü¹ö½ºÀ̹ǷΠº°µµÀÇ ¹øÈ£ ¾øÀÌ ±¹¼ö¸®Çà ¹ö½º ž½ÂÇÏ½Ã¸é µË´Ï´Ù. 1½Ã°£¿¡ ÇÑ µÎ Â÷·Ê Ãâ¹ß)À̳ª µ¿¼¿ïÅ͹̳Î(2000-1¹ø)¿¡¼ ¹ö½º¸¦ Ÿ½Ã°í ±¹¼öÁßÇб³ ¾Õ ÇÏÂ÷ÇϽøé ÇȾ÷ÇØ µå¸³´Ï´Ù. - ÇÏÂ÷¿ª : ±¹¼ö¸®¿ª,¾çÆò Áß.°íµîÇб³,±¹¼öÁßÇб³(¹ö½º¸¶´Ù ÇÏÂ÷¿ªÀÌ ´Ù¸¦ ¼ö ÀÖ½À´Ï´Ù) - ÇÏÂ÷ ÈÄ ÀüÈ Áֽøé ÇȾ÷ÇØ µå¸³´Ï´Ù. |
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ProgramÀÏÁ¤ | ÁÖÁ¦ | ¹ßÇ¥ÀÚ | |
---|---|---|---|
10:30~11:00 | °³È¸ : Special keynote | ±èÁÖÇÑ ±³¼ö´Ô | |
11:00~12:00 | Session 1 : Biological database issue | ÁÂÀå : ¹ÚÀ¯¶û | |
¡¡¡¡ | 11:00~11:20 | GRIP ( Genome Research Information Pipeline ) | ¹ÚÂùÈñ |
¡¡ | 11:20~11:40 | CC2Gene: an integrated gene re-annotation in GPL | Á¤ÈñÁØ |
¡¡ | 11:40~12:00 | BioCLASS : Biological Concept Lattice on Annotated Semantic Space | ±èÁöÈÆ |
12:00~13:00 | Áᫎ | ||
13:00~13:40 | Session 2 : Clinical data research | ÁÂÀå : ¹ÚÂùÈñ | |
13:00~13:20 | TMA-TAB: A spreadsheet-based format for tissue microarray data | ¼Û¿µ¼ö | |
13:20~13:40 | Developmental plan for metadata in clinical research¡¡ | ¹ÚÀ¯¶û | |
13:40~14:00 | Coffee break | ||
14:00~14:40 | Session 3 : Genome data research | ÁÂÀå : Á¤ÈñÁØ | |
¡¡ | 14:00~14:20 | co-transcriptomics : integrated analysis of microRNA and mRNA expression¡¡ | À̼ö¿¬ |
¡¡ | 14:20~14:40 | Integrative studies for SNPs and CNVs with gene expression data | ±èµµ±Õ |
14:40~15:00 | Coffee break | ||
15:00~16:00 | Session 4 : Biological data analysis | ÁÂÀå : À̼ö¿¬ | |
¡¡ | 15:00~15:20 | aging : ³ëÈ | °¼®ÈÆ, °±â¿ø |
¡¡ | 15:20~15:40 | Microarray data analysis : an overview | º¯»óÀç |
¡¡ | 15:40~16:00 | Estimation of Mean Sojourn Time with Cervical Cancer Screening Based on Markov Model | °¼Ò¿µ |
16:00~16:20 | Coffee break | ||
16:20~17:00 | Session 5 : Biological data analysis | ÁÂÀå : ±èµµ±Õ | |
¡¡ | 16:20~16:40 | Discovering functional relationships between miRNA and mRNA expression | ³ª¿µÁö |
¡¡ | 16:40~17:00 | Comparative study on multivariate T test for set-wise microarray analysis | Á¶¼º¹ü |
2008³â °Ü¿ï ù ¹ø° ¼¼¹Ì³ª´Â ¼¿ïÀ¯½ºÈ£½ºÅÚ ¼ÒȸÀÇ½Ç ¿¡¼ 2007³â 12¿ù 28ÀÏ ¿ÀÀü 9½Ã¿¡ ½ÃÀÛÇÕ´Ï´Ù.
¡¡
Time |
Title |
Abstract |
Presenter |
---|---|---|---|
08:30~09:00 |
Registration |
||
09:00~09:50 |
Special keynote |
Professor Ju Han Kim |
|
09:50~11:20 |
Session I : Biomedical informatics for disease |
Session chair : Jihun Kim |
|
¡¡ |
The development of clinico-histopathological metadata for cancer-oriented research |
¡¡ |
Yu Rang Park |
¡¡ |
Pathway classification analysis using BoostKDBC |
¡¡ |
Sung Bum Cho |
¡¡ |
Feature selection and Rule extraction of time series microarray using GP |
¡¡ |
Su Yeon Lee |
11:20~11:30 |
coffee break |
||
11:30~12:30 |
Session II : Young investigator competition |
Session chair : Young Ji NA |
|
¡¡ |
GEOXperanto |
¡¡ |
Sang Jae Byun |
¡¡ |
Integration of heterogeneous probe-level data |
¡¡ |
Do Kyoon Kim |
12:30~13:30 |
Lunch |
||
13:30~15:00 |
Session III : Gene regulation and transcriptomics |
Session chair : Sung Bum Cho |
|
¡¡ |
microRNA regulation depends on the regional effect |
¡¡ |
Young Ji NA |
¡¡ |
Imporving DEG identification in small sample datasets using GEO data |
¡¡ |
Mingoo Kim |
¡¡ |
BioCLASS : A semantic comparison of microarray gene expression data |
¡¡ |
Jihun Kim |
15:00~15:10 |
coffee break |
||
15:10~16:10 |
Session IV : Database integration |
Session chair : Mingoo Kim |
|
¡¡ |
CeLMAP: integrated pathways map using cellular location information |
¡¡ |
Hee Joon Chung |
¡¡ |
Integrative analysis in the study of cancer |
¡¡ |
Chan Hee Park |
16:10~16:20 |
Closing |
||
16:30~18:30 |
Special program |
||
19:00~21:00 |
Reception |