BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:scATAC-seq Analysis Using R
X-WR-TIMEZONE:Pacific Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260713T101646Z
UID:tag:localist.com\,2008:EventInstance_52322228796327
DTSTART:20260511T163000Z
DTEND:20260511T190000Z
DESCRIPTION:This three-session\, hands-on workshop provides an introduction
  to a typical single-cell ATAC-seq analysis and focuses on the data analys
 is steps to address unique computational challenges before the downstream 
 analysis.\n\nYou’ll learn how to perform quality checks of raw data in t
 he typical format provided by sequencing centers\, how to process the data
 \, perform dimensionality reduction for visualization\, clustering and cel
 l type annotation\, generate a gene score matrix to identify cell types\, 
 perform motif\, and peak enrichment\, differential chromatin accessibility
  analysis and jointly analyze multi-omic (expression and chromatin accessi
 bility) data sets using ArchR.\n\nPrior experience with transcriptomics da
 ta or attendance at an scRNA-seq or bulk RNA-seq workshop is required.\n\n
 Attendance at all three sessions is highly recommended. The subsequent ses
 sions build upon the previous ones.\n\nRequirements\n\nPrior attendance at
  an scRNA-seq or bulk RNA-seq workshop\, or experience with analysis of tr
 anscriptomics dataFamiliarity with R and RStudio (e.g.\, reading in files\
 , working with lists and dataframes)Advanced: This is an advanced workshop
  building upon the ATAC-Seq Analysis series. Prior experience with scRNA-s
 eq or bulk RNA-seq is required. See introductory and intermediate workshop
 s in the ATAC-Seq Analysis series.\n\nVisit the workshop site for more det
 ails and materials.
LOCATION:
SUMMARY:scATAC-seq Analysis Using R
URL;VALUE=URI:https://calendar.ucsf.edu/event/scatac-seq-analysis-using-r
CATEGORIES:Professional Development
CATEGORIES:Research & Academia
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260713T101646Z
UID:tag:localist.com\,2008:EventInstance_52322228797352
DTSTART:20260511T200000Z
DTEND:20260511T223000Z
DESCRIPTION:This three-session\, hands-on workshop provides an introduction
  to a typical single-cell ATAC-seq analysis and focuses on the data analys
 is steps to address unique computational challenges before the downstream 
 analysis.\n\nYou’ll learn how to perform quality checks of raw data in t
 he typical format provided by sequencing centers\, how to process the data
 \, perform dimensionality reduction for visualization\, clustering and cel
 l type annotation\, generate a gene score matrix to identify cell types\, 
 perform motif\, and peak enrichment\, differential chromatin accessibility
  analysis and jointly analyze multi-omic (expression and chromatin accessi
 bility) data sets using ArchR.\n\nPrior experience with transcriptomics da
 ta or attendance at an scRNA-seq or bulk RNA-seq workshop is required.\n\n
 Attendance at all three sessions is highly recommended. The subsequent ses
 sions build upon the previous ones.\n\nRequirements\n\nPrior attendance at
  an scRNA-seq or bulk RNA-seq workshop\, or experience with analysis of tr
 anscriptomics dataFamiliarity with R and RStudio (e.g.\, reading in files\
 , working with lists and dataframes)Advanced: This is an advanced workshop
  building upon the ATAC-Seq Analysis series. Prior experience with scRNA-s
 eq or bulk RNA-seq is required. See introductory and intermediate workshop
 s in the ATAC-Seq Analysis series.\n\nVisit the workshop site for more det
 ails and materials.
LOCATION:
SUMMARY:scATAC-seq Analysis Using R
URL;VALUE=URI:https://calendar.ucsf.edu/event/scatac-seq-analysis-using-r
CATEGORIES:Professional Development
CATEGORIES:Research & Academia
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260713T101646Z
UID:tag:localist.com\,2008:EventInstance_52322228798377
DTSTART:20260512T163000Z
DTEND:20260512T190000Z
DESCRIPTION:This three-session\, hands-on workshop provides an introduction
  to a typical single-cell ATAC-seq analysis and focuses on the data analys
 is steps to address unique computational challenges before the downstream 
 analysis.\n\nYou’ll learn how to perform quality checks of raw data in t
 he typical format provided by sequencing centers\, how to process the data
 \, perform dimensionality reduction for visualization\, clustering and cel
 l type annotation\, generate a gene score matrix to identify cell types\, 
 perform motif\, and peak enrichment\, differential chromatin accessibility
  analysis and jointly analyze multi-omic (expression and chromatin accessi
 bility) data sets using ArchR.\n\nPrior experience with transcriptomics da
 ta or attendance at an scRNA-seq or bulk RNA-seq workshop is required.\n\n
 Attendance at all three sessions is highly recommended. The subsequent ses
 sions build upon the previous ones.\n\nRequirements\n\nPrior attendance at
  an scRNA-seq or bulk RNA-seq workshop\, or experience with analysis of tr
 anscriptomics dataFamiliarity with R and RStudio (e.g.\, reading in files\
 , working with lists and dataframes)Advanced: This is an advanced workshop
  building upon the ATAC-Seq Analysis series. Prior experience with scRNA-s
 eq or bulk RNA-seq is required. See introductory and intermediate workshop
 s in the ATAC-Seq Analysis series.\n\nVisit the workshop site for more det
 ails and materials.
LOCATION:
SUMMARY:scATAC-seq Analysis Using R
URL;VALUE=URI:https://calendar.ucsf.edu/event/scatac-seq-analysis-using-r
CATEGORIES:Professional Development
CATEGORIES:Research & Academia
END:VEVENT
END:VCALENDAR