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DTSTAMP:20260529T183448Z
UID:e5f567e0-87c5-48a1-9251-6ab31ce06255
DTSTART:20261005T070000Z
DTEND:20261009T150000Z
DESCRIPTION:The aim of this workshop is to introduce best practice bioinfor
 matics methods for processing\, analyses and integration of epigenomics da
 ta. The online teaching includes lectures\, programming tutorials and inte
 ractive group sessions. \n\nTopics covered include:\n- Data processing and
  analyses for differential DNA methylation with Illumina EPIC arrays and B
 isulfite-seq\n- ChIP-seq: overview of the methods\, peak calling\, peak in
 dependent/dependent quality metrics\, joint visualization of different chr
 omatin marks\n- ATAC-seq: peak calling\, peak independent/dependent qualit
 y metrics\, differential accessibility analysis\n- Integrative visualizati
 ons of epigenomics datasets\n- Motif analyses: PWMs\, motif enrichment\, r
 egression-based approaches\n- Functional analyses\, including finding near
 est genes and custom features\, GO terms and Reactome pathways enrichment\
 n- Introduction to analysis of single cell omics such as scATAC-seq
SUMMARY:Epigenomics Data Analysis From Bulk to Single Cell
URL;VALUE=URI:https://uppsala.instructure.com/courses/112730
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