BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260618T094723Z
UID:f10b7dc7-6f9d-4ccb-affa-a5687b907a29
DTSTART:20180521T090000Z
DTEND:20180524T000000Z
DESCRIPTION: #url https://www.scilifelab.se/events/scRNAseq-VT18/ National 
 course open for PhD students\, postdocs\, researchers and other employees 
 in need of single cell RNA-seq data analysis skills within all Swedish uni
 versities Course name: Single cell RNA sequencing data analysis Course dat
 es: 2018-05-21 to 2018-05-23 Course location: SciLifeLab\, Tomtebodavägen
  23A\, 171 65 Solna Important dates Application opens: February 1 Applicat
 ion closes: April 23 Confirmation to accepted students: April 27 Responsib
 le teachers: Åsa Björklund If you do not receive information according t
 o the above dates please contact: asa.bjorklund@scilifelab.se Course fee A
  course fee* of 1700 SEK will be invoiced to accepted participants. This i
 ncludes lunches\, coffee and course dinner.. *Please note that NBIS cannot
  invoice individuals Course content This course will cover the basic steps
  in single cell RNAseq (scRNAseq) processing and data analysis. Topics cov
 ered will include: An overview of the current scRNAseq techniques Basic ov
 erview of pipelines for processing raw reads into expression values Qualit
 y control of scRNAseq data Dimensionality reduction and clustering techniq
 ues Data normalization Differential gene expression for scRNAseq data Exam
 ples on how to use these tools in a research project. Entry requirements R
 equired for being able to follow the course and complete the computer exer
 cises Basic knowledge in Linux is a requirement. We will not teach Linux a
 t the course and you may have considerable trouble to follow the practical
  sessions if you are not reasonably used to work in a Linux environment. B
 e able to bring your own laptop with R installed for the practical computa
 tional exercises. Instructions on installation will be sent by email to ac
 cepted participants. Some programming/scripting experience is required (pr
 eferably in R). Desirable: Experience working on the SNIC center Uppmax is
  desirable\, but not required. We encourage accepted participants to do an
  Uppmax tutorial before the course. Previous experience with RNA-seq analy
 sis and/or participation in NGS/RNA-seq course is an advantage. Due to lim
 ited space the course can accommodate maximum of 25 participants. If we re
 ceive more applications\, participants will be selected based on several c
 riteria. Selection criteria include correct entry requirements\, motivatio
 n to attend the course as well as gender and geographical balance. Link to
  application: https://goo.gl/forms/89JPQcm0j7zKtjLN2
SUMMARY:Single cell RNA sequencing data analysis
URL;VALUE=URI:https://www.google.com/calendar/event?eid=MmMzc2k2bnIwc3IzMml
 qMHFiYmwyNDdiN24gYmlscy5lbGl4aXJAbQ
END:VEVENT
END:VCALENDAR