High-throughput sequencing of Chromatin-Immunoprecipita ted libraries (ChIP-seq) and of bisulfite converted DNA (WGBS) have become increasingly common and have largely supplanted microarrays for chromatin and DNA methylation profiling. When processed appropriately\, ChIP-seq da ta provides base-pair resolution representations of transcription factor D NA-binding events and nucleosome (histone) modifications genome-wide. Simi larly\, WGBS can provide a quantitative genome wide profile of cytosine me thylation. The CBW has developed a 2-day course providing an introduction to histone ChIP-seq and WGBS data analysis followed by integrated tutorial s demonstrating 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 bioinforma tics tools (FASTQC\, BWA\, MACS2\, FindER\, samtools\, Picard\, BisSNP). T he course also includes an overview of integrative epigenomic tools that h ave been developed to explore ChIP-Seq and WGBS data together with other e pigenomic datasets such as RNA-seq\, DHS-seq and ATAC-seq.
SUMMARY:(2019) Epigenomic Data Analysis URL;VALUE=URI:https://bioinformatics.ca/workshops-all/2019-epigenomic-data- analysis/ END:VEVENT END:VCALENDAR