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VERSION:2.0
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SUMMARY:What we can (not) learn from high-throughput data and sequence ana
 lysis of protein-DNA interactions: from sequence motifs to regulatory vari
 ants and back
DTSTART:20200225T120000
DTEND:20200225T130000
DTSTAMP:20260407T105625Z
UID:1f7119c1a3680674ae8cfa79770632e0afa494d6d6c792d91bc7d1e5
CATEGORIES:Conferences - Seminars
DESCRIPTION:Ivan Kulakovskiy\, Engelhardt Institute of Molecular Biology a
 nd Vavilov Institute of General Genetics of Moscow\nThis presentation will
  start by introducing several software tools for sequence motif analysis d
 eveloped by the autosome.ru team. Next\, it will be shown how the presente
 d tools can be used for practical analysis of eukaryotic gene regulation. 
 In particular\, the construction of a systematic collection of motifs repr
 esenting transcription factor binding sites will be discussed\, together w
 ith the annotation of single-nucleotide variants in gene regulatory region
 s. Finally\, we shall have a sneak peek at an ongoing large-scale meta-ana
 lysis of ChIP-Seq data to discover allele-specific transcription factor bi
 nding events.
LOCATION:AI 1153 https://plan.epfl.ch/?room==AI%201153
STATUS:CONFIRMED
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