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VERSION:2.0
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DTSTAMP:20260716T073317Z
UID:8c844394-2c71-4f35-9067-35b12de3f440
DTSTART:20231025T090000Z
DTEND:20231025T235900Z
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 from Biocent
 er Finland universities and DPBM based on motivation description in the ap
 plication form. PrerequisitiesYou should have some experience in using R.
 ContentTopics covered:quality controlnormalizationremoval of undesired sou
 rces of variationchoosing variable genesdimensionality reductionclustering
 differential gene expression analysisintegrating different datasetscell ty
 pe identificationTrainersBishwa Ghimire\, Laura Langohr\, Matias Falco\, A
 nna Pirttikoski (University of Helsinki)Course materialsThe code for exerc
 ises is available in Gitlab.Before the course you need to watch the follow
 ing lecture videos. The lectures are kindly provided byÅsa Björklund\, P
 aulo Czarnewski and Olga Dethlefsen from National Bioinformatics Infrastuc
 ture Sweden (NBIS\, ELIXIR-SE)Ahmed Mahfouz from Leiden University Medical
  Center\, NetherlandsModule 2 Quality control: lectures 4\, 6-8Module 3 No
 rmalization: lectures 1\, 3-5Module 4 Dimensionality reduction: lectures 1
 -5Module 5 Data integration: lectures 1\, 3-5Module 6 Clustering: lectures
  1-4\, 8Module 7 Differential expression: lectures 1-2\, 4\, 6Module 8 Gen
 e set analysis: lectures 1-3\, 5Module 9 Cell type prediction: lectures 1-
 5\, 8Slides and exercises will be shared during the course.PriceCourse par
 ticipation fees are covered by Doctoral Program in Biomedicine (DPBM) and 
 Biocenter Finland (BF)\, who also select the students to the course. Cours
 e participants are selected from Biocenter Finland universities and DPBM.I
 mportant datesapplication deadline 25.9.2023selection results announced la
 test 11.10.2023
LOCATION:Training room Dogmi\, CSC - Keilaranta 14
SUMMARY:Single-cell RNA-seq data analysis using R
URL;VALUE=URI:https://ssl.eventilla.com/rnaseq
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