STATISTICAL METHODS FOR FUNCTIONAL GENOMICS
June 18 - July 1, 2015
Application Deadline: March 15, 2015
Harmen Bussemaker, Columbia University Sean Davis, National Institutes for Health
Olivier Elemento, Weill Cornell Medical College Rafael Irizarry, Dana-Farber Cancer Institute
See the roll of honor - who's taken the course in the past
Over the past decade, high-throughput assays have become pervasive in biological research due to both rapid technological advances and decreases in overall cost. To properly analyze the large data sets generated by such assays and thus make meaningful biological inferences, both experimental and computational biologists must understand the fundamental statistical principles underlying analysis methods. This course is designed to to build competence in statistical methods for analyzing high-throughput data in genomics and molecular biology.
• The R environment for statistical computing and graphics
• Introduction to Bioconductor
• Review of basic statistical theory and hypothesis testing
• Experimental design, quality control, and normalization
• High-throughput sequencing technologies
• Expression profiling using RNA-Seq and microarrays
• In vivo protein binding using ChIP-Seq
• High-resolution chromatin footprinting using DNase-Seq
• DNA methylation profiling analysis
• Integrative analysis of data from parallel assays
• Representations of DNA binding specificity and motif discovery algorithms
• Predictive modeling of gene regulatory networks using machine learning
• Analysis of posttranscriptional regulation, RNA binding proteins, and microRNAs
Detailed lectures and presentations by instructors and guest speakers will be combined with hands-on computer tutorials. The methods covered in the lectures will be applied to example high-throughput data sets.
Speakers in 2014 included:
Marc Carlson, Fred Hutchinson Cancer Research Center
Aedin Culhane, HMS/Dana Farber Cancer Institute
Emily Hodges, Cold Spring Harbor Laboratory
Rafael Irizarry, Dana-Farber Cancer Institute
Justin Kinney, Cold Spring Harbor Laboratory
Anshul Kundaje, Stanford University
Tuuli Lappalainen, New York Genome Center/Columbia University
Christina Leslie, Memorial Sloan-Kettering Cancer Center
Joseph Pickrell, New York Genome Center
Mark Reimers, Virginia Commonwealth University
John Stamatoyannopoulos, University of Washington
This course is supported with funds provided by: National Institute of General Medical Sciences
Cost (including tuition, board and lodging): $3,735
This button links to a short form which confirms your interest in the course.
No fees are due until you have completed the full application process and
are accepted into the course.
Students accepted into the course should plan to arrive by early evening on June 17 and plan to depart after lunch on July 1http://www.nigms.nih.gov/.