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DTSTAMP:20260618T101833Z
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DTSTART:20181107T090000Z
DTEND:20181110T000000Z
DESCRIPTION: Course name: ChIP-seq data analysis Course dates: 2018-11-07 a
 nd 2018-11-09 Course location: SciLifeLab\, Tomtebodavägen 23A\, 171 65 S
 olna\, Room Fire ------------------------------------------------ National
  course open for PhD students\, postdocs\, researchers and other employees
  in need of ChIP-seq data analyses skills within all Swedish universities 
 Important dates Application opens: now https://docs.google.com/forms/d/e/1
 FAIpQLSfJR1YbBeKqDUFbDDxAEVZh-h-je_4Ve4I9iVRRs7dsANCPGg/viewform Applicati
 on closes: 2018-09-28 Confirmation to accepted students: 2018-10-06 Respon
 sible teachers: Agata Smialowska\, Olga Dethlefsen If you do not receive i
 nformation according to the above dates please contact agata.smialowska@nb
 is.se\, olga.dethlefsen@nbis.se Course fee A course fee* of 1700 SEK will 
 be invoiced to accepted participants. This includes lunches\, coffee and s
 nacks. *Please note that NBIS cannot invoice individuals Course content Th
 is course will introduce the best practice bioinformatics methods for proc
 essing and analyses of ChIP-seq data via a series of lectures\, group work
  and computer practicals. Topics covered will include: ●Quality controls
  of raw sequencing reads ●Reads trimming and filtering ●Alignment to t
 he reference genome ●Peak-independent quality metrics ●Peak calling 
 ●Peak-dependent quality metrics and visualization ●Differential bindin
 g analysis ●Functional analysis\, incl. finding nearest genes\, exons an
 d custom features\, obtaining enriched Gene Ontology terms and pathways En
 try requirements Required for being able to follow the course and complete
  the computer exercises ●Basic knowledge in Linux ●Ability to bring yo
 ur own laptop with R installed for the practical exercises ●Programming/
 scripting experience\, preferably in R Desirable ●Experience working on 
 the SNIC center Uppmax or another HPC. We encourage participants to run Up
 pmax tutorial before the course ●Previous experience with NGS data analy
 ses ●Completing NBIS courses “Introduction to Bioinformatics using NGS
  data” and “R Programming Foundations for Life Scientists” Due to li
 mited space the course can accommodate maximum of 25 participants. If we r
 eceive more applications\, participants will be selected based on several 
 criteria. Selection criteria include correct entry requirements\, motivati
 on to attend the course as well as gender and geographical balance.
SUMMARY:ChIP-seq data analysis 
URL;VALUE=URI:https://www.google.com/calendar/event?eid=NmJyM3NocjN1MGtucnU
 3dnNwMnViNWdvYnAgYmlscy5lbGl4aXJAbQ
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