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TZID:America/New_York
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DTSTART:20241103T020000
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DTSTART:20250309T020000
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DESCRIPTION:Turning transcriptomics and epigenomics into mechanistic insig
 hts for disease research and precision medicine Genome Enhancer (GE) is a
 n integrated bioinformatics solution for transforming omics data into mec
 hanistic models of gene regulation and disease. In this online lecture an
 d live product demonstration\, Dr. Alexander Kel will introduce the upstr
 eam analysis approach and show how GE combines transcription factor analy
 sis\, signaling and metabolic pathways\, and curated molecular knowledge 
 to identify key transcription factors\, master regulators\, and potential
  therapeutic targets. Using practical examples\, the session will demonst
 rate how differential gene expression and other omics data can be transla
 ted from long gene lists into causal regulatory networks and actionable b
 iological hypotheses. You will learn how to analyze differential gene exp
 ression and multi-omics data with GE identify transcription factors contr
 olling disease-associated gene expression reconstruct upstream signaling 
 and regulatory networks discover key master regulators driving pathologic
 al processes prioritize potential drug targets and therapeutic strategies
  connect molecular mechanisms with diseases\, pathways\, and known drugs 
 move from omics data toward testable hypotheses for precision medicine an
 d drug discovery Requirements: No prior experience with Genome Enhancer i
 s required.\n\nSpeaker:\nDr Alexander Kel\n\nAdmission:\nFree\n\nDetails 
 URL:\nhttps://medicine.yale.edu/event/from-omics-data-to-master-regulator
 s-and-drug-targets-with-genome-enhancer/\n
DTEND;TZID=America/New_York:20261103T110000
DTSTAMP:20261024T191305Z
DTSTART;TZID=America/New_York:20261103T100000
LOCATION:Registration is required\, visit RSVP link above for more event i
 nformation.
SEQUENCE:0
STATUS:Confirmed
SUMMARY:From Omics Data to Master Regulators and Drug Targets with Genome 
 Enhancer
UID:314691aa-32ae-4ace-a676-1be1abb9902f
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