Statistical and Computational Challenges In Bridging Functional Genomics, Epigenomics, Molecular QTLs, and Disease Genetics
Videos from BIRS Workshop
Laurent Jacob, Centre national de la recherche scientifique
Monday Aug 3, 2015 09:14 - 09:37
Efficient RNA isoform identification and quantification from RNA-Seq data with network flows
Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
Monday Aug 3, 2015 09:47 - 10:19
Statistical analysis of RNA-seq data at different scales
Rafael Irizarry, Dana-Farber Cancer Institute
Monday Aug 3, 2015 10:43 - 11:20
Overcoming bias and batch effects in RNAseq data
Adam Olshen, University of California, San Francisco
Monday Aug 3, 2015 11:22 - 11:59
Further Statistical Methods for the Analysis of Ribosome Profiling Data
Kai Kammers, Johns Hopkins University
Monday Aug 3, 2015 12:00 - 12:18
Genetic and transcriptomic analysis of megakaryocytes
Tuuli Lappalainen, New York Genome Center & Columbia University
Monday Aug 3, 2015 13:29 - 13:52
Genomic imprinting across diverse human tissues
Yoav Gilad, University of Chicago
Monday Aug 3, 2015 14:14 - 14:42
eQTL mapping in iPSC lines
Philip Awadalla, Ontario Institute of Cancer Research
Monday Aug 3, 2015 14:47 - 15:20
High-coverage RNA-sequencing Reveals Substantial Variation Associated with Geography, Environment and Endophenotypic Variation
Barbara Engelhardt, Princeton University
Monday Aug 3, 2015 15:37 - 16:11
Heteroskedastic linear models for functional genomics
Shamil Sunyaev, Harvard Medical School and Brigham & Women's Hospital
Monday Aug 3, 2015 16:11 - 16:47
Can we rely on eQTLs to understand GWAS peaks?
Michael Snyder, Stanford University
Tuesday Aug 4, 2015 09:09 - 09:45
Differences among individuals and between species
Jennifer Listgarten, Microsoft Research
Tuesday Aug 4, 2015 10:57 - 11:35
Linear Mixed Models for Genome and Epigenome-Wide Association Studies
Anna Goldenberg, The Hospital of Sick Children, University of Toronto
Tuesday Aug 4, 2015 11:36 - 12:13
Data integration, variant aggregation and combined annotation
Christopher Brown, University of Pennsylvania
Tuesday Aug 4, 2015 12:15 - 12:46
Allele specific regulatory activity and its application to disease
John Quackenbush, Dana-Farber Cancer Institute
Tuesday Aug 4, 2015 13:42 - 14:28
Using Networks to Probe Biological Systems
Benjamin Haibe Kains, University Health Network
Tuesday Aug 4, 2015 15:43 - 16:05
Ensemble framework to infer large-scale causal gene regulatory networks from transcriptomic data
Mark Segal, UCSF
Wednesday Aug 5, 2015 09:11 - 09:50
A Two-Stage Algorithm for 3D Genome Reconstruction
Kasper Hansen, Johns Hopkins University
Wednesday Aug 5, 2015 09:50 - 10:27
Reconstructing A/B compartments as revealed by Hi-C using long-range correlations in epigenetic data
Alan Moses, University of Toronto
Wednesday Aug 5, 2015 10:47 - 11:23
Statistical methods for automated analysis of high- throughput protein localization data
Sohrab Shah, Memorial Sloan Kettering Cancer Center
Wednesday Aug 5, 2015 11:24 - 11:59
Somatic mutations in two cancer contexts: evolutionary dynamics and gene expression impact
Marieke Kuijjer, Dana-Farber Harvard School of Public Health
Wednesday Aug 5, 2015 12:28 - 12:49
Estimating sample-specific regulatory networks
Venkatraman Seshan, Memorial Sloan Kettering Cancer Center
Thursday Aug 6, 2015 09:33 - 10:03
Copy Number Profile from Tumor Sequencing
Paul Scheet, MD Anderson Cancer Center
Thursday Aug 6, 2015 10:06 - 10:39
Surveys of Subtle Allelic Imbalance in Tissue
Richard Cowper Sallari, Massachusetts Institute of Technology
Thursday Aug 6, 2015 11:44 - 12:04
Convergence of dispersed regulatory mutations reveals candidate driver genes in prostate cancer
Marianne DeGorter, Stanford University
Thursday Aug 6, 2015 12:04 - 12:34
Whole genome sequencing of diverse human populations resolves causal regulatory variants
Jean-Philippe Vert, Mines ParisTech
Thursday Aug 6, 2015 13:35 - 14:11
Some new methods for robust high-dimensional classification
Yue Li, Massachusetts Institute of Technology
Thursday Aug 6, 2015 14:45 - 15:03
Joint Bayesian inference of driver variants in nine immune disorders using epigenomic annotations
Alexis Battle, Johns Hopkins University
Thursday Aug 6, 2015 15:19 - 15:48
The complex and cascading impact of regulatory variation
David Knowles, Stanford University
Thursday Aug 6, 2015 15:49 - 16:09
Joint modeling of cellular and disease QTLs The majority of known GWAS associations fall in non-coding genomic regions
Manolis Kellis, Massachusetts Institute of Technology and Broad Institute
Thursday Aug 6, 2015 16:10 - 16:34
Dissecting non-coding associations with human disease
Ingo Ruczinski, Johns Hopkins University
Thursday Aug 6, 2015 16:43 - 17:05
A brief note about genetic variation
