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DTSTART:20250428T140000Z
DTEND:20250428T160000Z
DTSTAMP:20250428T000000Z
SUMMARY:*Online only* Gene Expression Analysis – from Transcription Factors to Master Regulators
DESCRIPTION:\n\nMake the most of your Yale library subscription for 
 \n\nTRANSFAC® 2.0 and PROTEOME™ 
 \n\nhttps://library.medicine.yale.edu/find/title/transfac \n\nAlexander 
 Kel\, Ph. D. and Volker Matys\, Dr. rer. nat.\, geneXplain GmbH \n\n 
 \n\nAfter an overview on the TRANSFAC® and PROTEOME™ databases by Dr. 
 Volker Matys with focus on transcription factors\, signaling pathways and 
 disease biomarkers\, Dr. Alexander Kel will demonstrate\, how the data in 
 those databases can be used by the included tools for analysis of 
 differential gene expression\, e.g. from RNA-seq or other omics data. 
 \n\nYou will learn\, how to:\n\n\n	find genes associated with a particular 
 disease. \n	map genes to pathways. \n	search for known binding factors (TF) 
 for genes. \n	use known TF-binding sites to predict TFBSs in regulatory 
 sequences. \n	analyze genes for tissue-specific transcription factors. 
 \n	conduct upstream analysis (integrated promoter-pathway analysis) 
 \n	explain differential gene expression by common master regulators. 
 \n\n\n\n\nRequirements: No previous Bioinformatics knowledge required. \n\n
LOCATION:Zoom Session -Medical (online only_1)\, Medical School
ORGANIZER;CN="Sofia Fertuzinhos":MAILTO:sofia.fertuzinhos@yale.edu
CATEGORIES:Bioinformatics
CONTACT;CN="Sofia Fertuzinhos":MAILTO:sofia.fertuzinhos@yale.edu
STATUS:CONFIRMED
UID:LibCal-14380819
URL:https://schedule.yale.edu/event/14380819
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