Spring 2013
Multiomics Journal Club Schedule
Speaker Date Paper/Title Room
Simarjeet Negi 1/9/2013 Integrating next-generation sequencing and traditional tongue diagnosis to determine tongue coating microbiome  
Adam Cornish 1/16/2013 The rhesus macaque is three times as diverse but more closely equivalent in damaging coding variation as compared to the human  
Adrian A Epstein 1/23/2013 Genome-wide epigenetic regulation by early-life trauma.  
Babu Guda 1/30/2013 Chapter 12: Human Microbiome Analysis  
 Fengxia Xiao 2/6/2013

Rare variants in XRCC2 as breast cancer susceptibility alleles

Rare Mutations in XRCC2 Increase the Risk of Breast Cancer

 
Akram Mohammed 2/13/2013 Symptomatic atherosclerosis is associated with an altered gut metagenome  
Kristin E Wipfler 2/20/2013 Detection of ultra-rare mutations by next-generation sequencing  
 Robert B Norgren 2/27/2013 Exome sequencing and complex disease: practical aspects of rare variant association studies  
You Li 3/6/2013 Transforming fusions of FGFR and TACC genes in human glioblastoma.  
Robert J Boissy 3/13/2013 Cancelled  
San Ming Wang 3/20/2013 Homage to Theodor Boveri (1862-1915): Boveri’s Theory of Cancer as a Disease of the Chromosomes, and the Landscape of Genomic Imbalances in Human Carcinomas  
Sanjit Pandey 3/27/2013 Mutation identification by direct comparison of whole-genome sequencing data from mutant and wild-type individuals using k-mers  DRC1 4003
Satish Mahadevan Srinivasan 4/3/2013 MetAMOS: a modular and open source metagenomic assembly and analysis pipeline.  DRC1 4003
Suleyman Vural 4/10/2013 CRAC: an integrated approach to the analysis of RNA-seq reads  DRC1 4003
James D Eudy 4/17/2013 De novo mutations in the autophagy gene WDR45 cause static encephalopathy of childhood with neurodegeneration in adulthood DRC1 4003 
Yeong C Kim 4/24/2013 A dynamic Bayesian Markov model for phasing and characterizing haplotypes in next-generation sequencing DRC1 4003
Simarjeet Negi 5/1/2013 Cancelled

DRC1 4003 

Simarjeet Negi 5/8/2013 Genome-wide SNP and CNV analysis identifies common and low-frequency