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DTSTAMP:20250512T210804Z
DESCRIPTION:Transcriptional mechanisms of phenotypic variation from multi-o
 mics data\n\nSaurabh Sinha\, (University of Illinois\, Urbana-Champaign)\n
 	Tuesday October 29\, 12-1pm\n	McIntyre Medical Building\, room 1034\n\nAbst
 ract: Reconstruction of gene regulatory networks (GRNs)\, specifically tho
 se connecting transcription factors (TFs) to their target genes\, has been
  a central goal of computational regulatory genomics for decades. Such net
 works help us identify major TFs and TF-gene relationships that underlie e
 xpression changes in the system being studied. Frequently\, GRN reconstruc
 tion methods exploit correlations in expression data and in many cases the
 y also utilize genome-wide TF-DNA binding and epigenomic profiles. Our rec
 ent research on this problem addresses two important challenges: (a) how t
 o integrate multiple types of data pertaining to TF-gene relationships\, d
 uring GRN reconstruction\, and (b) how to ‘enrich’ the reconstructed GRN w
 ith genes that underlie phenotypic variation among the samples. \n\nI will
  present the main underlying methodology\, based on probabilistic graphica
 l models\, and its application to two biological problems: (i) identifying
  TFs underlying drug response variation among individuals\, while integrat
 ing genotype\, TF-DNA binding\, DNA methylation\, gene expression and cyto
 toxicity data\, and (ii) identifying TFs underlying colorectal cancer prog
 ression from dynamic histone modification data as well as gene expression 
 and TF-DNA binding data.\n
DTSTART:20191029T160000Z
DTEND:20191029T170000Z
LOCATION:Room 1034\, McIntyre Medical Building\, CA\, QC\, Montreal\, H3G 1
 Y6\, 3655 promenade Sir William Osler
SUMMARY:QLS Seminar - Saurabh Sinha
URL:/qls/channels/event/qls-seminar-saurabh-sinha-3017
 02
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