BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260622T210928Z
UID:24b0d318-0d2f-4464-8a42-e5dd74384931
DTSTART:20170615T123000Z
DTEND:20170616T210000Z
DESCRIPTION:High-throughput sequencing of Chromatin-Immunoprecipitated libr
 aries (ChIP-seq) and of bisulfite converted DNA (WGBS) have become increas
 ingly common and have largely supplanted microarrays for chromatin and DNA
  methylation profiling. When processed appropriately\, ChIP-seq data provi
 des base-pair resolution representations of transcription factor DNA-bindi
 ng events and nucleosome (histone) modifications genome-wide. Similarly\, 
 WGBS can provide a quantitative genome wide profile of cytosine methylatio
 n.\n\nThe CBW has developed a 2-day course providing an introduction to hi
 stone ChIP-seq and WGBS data analysis followed by integrated tutorials dem
 onstrating the use of open source ChIP-Seq and WGBS analysis packages. The
  tutorials are designed as self-contained units that include example data 
 and detailed instructions for installation of all required bioinformatics 
 tools (FASTQC\, BWA\, MACS2\, FindER\, samtools\, Picard\, BisSNP). The co
 urse also includes an overview of integrative epigenomic tools that have b
 een developed to explore ChIP-Seq and WGBS data together with other epigen
 omic datasets such as RNA-seq\, DHS-seq and ATAC-seq.\n\nParticipants will
  gain practical experience and skills to be able to:\n\nAlign ChIP-seq and
  WGBS sequence data to a reference genome (required)\nIdentify narrow and 
 broad peaks from ChIP-seq data\nIdentify methylated levels from WGBS data\
 nVisualize and summarize the output of ChIP-Seq and WGBS analyses\nExplore
  integrative tools for epigenomic data sets
LOCATION:Montreal
SUMMARY:Epigenomic Data Analysis
URL;VALUE=URI:https://bioinformatics.ca/workshops/2017/epigenomic-data-anal
 ysis-2017
END:VEVENT
END:VCALENDAR