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DTSTAMP:20260806T132242Z
UID:421e3a82-5bf1-43c8-b04f-955c837f1210
DTSTART:20220109T180000Z
DTEND:20220114T160000Z
DESCRIPTION:Training : Single-Cell : Transcriptomics\, Spatial and Multi-Om
 ics (sincellTE)\n\nDeadline pre-registration: 15th September 2021\n\nThis 
 one-week class focuses on the large-scale study of heterogeneity across in
 dividual cells from the genomic\, transcriptomic and epigenomic points of 
 view. New technological developments enable the characterization of molecu
 lar information at a single cell resolution for large numbers of cells. Th
 e high dimensional omics data that these technologies produce comes with n
 ovel methodological challenges for the analysis. In this regard\, specific
  bioinformatics and statistical methods have been developed in order to ex
 tract robust information.\n\nThis course is directed towards engineers and
  researchers who regularly need to undertake single-cell data analysis as 
 well as PhD Student and Post Doc in computational biology or bioinformatic
 s that are interested in the development of methods and pipelines for high
 ly dimensional single-cell data analysis.\n\nA wide range of single cell t
 opics will be covered in lectures\, demonstrations and practical classes. 
 Among others\, the areas and issues to be addressed will include the choic
 e of the most appropriate single-cell sequencing technology\, the experime
 ntal design and the bioinformatics and statistical methods and pipelines. 
 For this edition\, new courses/practicals will focus on spatial transcript
 omics\, cell phenotyping and additional multi-omics.\n\nRequirements : Par
 ticipants must have prior experience on NGS data analysis  with everyday 
 use of R and good knowledge of Unix command line. Before the training\, pa
 rticipants will be asked to familiarize themselves with the processing and
  primary analyses steps of scRNA-seq datasets with provided pedagogic mate
 rial.\n\nIt is not necessary to have personal single-cell data to analyse.
 \n\nAll information and pre-registration:\n\nhttps://www.france-bioinforma
 tique.fr/formation/single-cell-2022/
LOCATION:Place Georges Teissier
SUMMARY:ELIXIR-FR : 4th Workshop Single-Cell 2022 (Roscoff-FRANCE)
URL;VALUE=URI:https://www.elixir-europe.org/events/elixir-fr-4th-workshop-s
 ingle-cell-2022-roscoff-france
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