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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260618T212908Z
UID:e49a0e71-e426-4a28-a719-665bd608e720
DTSTART:20221006T070000Z
DTEND:20221006T140000Z
DESCRIPTION:This hands-on course introduces single-cell RNA-seq (scRNA-seq)
  data analysis concepts and R packages. It covers the processing of transc
 ript counts from quality control and filtering to dimensional reduction\, 
 clustering\, cell type identification and differential expression analysis
 .PracticalitiesThe course consists of lectures and exercises. Participants
  are requested to view the lecture videos prior to the course and test the
 ir knowledge with a set of questions. This gives you more time to reflect 
 on the concepts so that you can use the classroom time more efficiently fo
 r discussions and exercises. The lecture videos are kindly provided by NBI
 S\, the Swedish Node of ELIXIR (for more information\, please see the sect
 ion "Course materials" here below).Participants are selected based on moti
 vation description in the application form. Some of the seats are reserved
  for Doctoral Program in Biomedicine (DPBM) students\, whose participation
  fee is covered by the program.PrerequisitiesYou should have some experien
 ce in using R. If you don't have these skills\, you might like to attend t
 he course Single cell RNA-seq data analysis with Chipster instead.ContentT
 opics covered:quality controlnormalizationremoval of undesired sources of 
 variationchoosing variable genesdimensionality reductionclusteringdifferen
 tial gene expression analysisintegrating different datasetscell type ident
 ificationTrainersBishwa Ghimire\, Laura Langohr\, Matias Falco\, Anna Pirt
 tikoski (University of Helsinki)Course materialsThe code for exercises is 
 available in Gitlab.Before the course you need to watch the following lect
 ure videos. The lectures are kindly provided byÅsa Björklund\, Paulo Cza
 rnewski and Olga Dethlefsen from National Bioinformatics Infrastucture Swe
 den (NBIS\, ELIXIR-SE)Ahmed Mahfouz from Leiden University Medical Center\
 , NetherlandsModule 2 Quality control: lectures 4\, 6-8Module 3 Normalizat
 ion: lectures 1\, 3-5Module 4 Dimensionality reduction: lectures 1-5Module
  5 Data integration: lectures 1\, 3-5Module 6 Clustering: lectures 1-4\, 8
 Module 7 Differential expression: lectures 1-2\, 4\, 6Module 8 Gene set an
 alysis: lectures 1-3\, 5Module 9 Cell type prediction: lectures 1-5\, 8Sli
 des and exercises will be shared during the course.Price60 euros including
  VAT.Important datesapplication deadline 7.9.2022selection results announc
 ed 23.9.2022selected participants need to register by 30.9.2022
LOCATION:Training room Dogmi\, CSC - Keilaranta 14
SUMMARY:Single-cell RNA-seq data analysis using R
URL;VALUE=URI:https://ssl.eventilla.com/single-cell_r_2022
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