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DTSTAMP:20260628T071817Z
UID:bbf9324c-fbb5-4e2f-8577-86de0a931b04
DTSTART:20241020T090000Z
DTEND:20241025T170000Z
DESCRIPTION:This workshop focuses on the large-scale study of heterogeneity
  across individual cells from a genomic\, transcriptomic and epigenomic po
 int of view. New technological developments enable the characterization of
  molecular information at a single cell resolution for large numbers of ce
 lls. The high dimensional omics data that these technologies produce raise
  novel methodological challenges for the analysis. In this regard\, dedica
 ted bioinformatics and statistical methods have been developed in order to
  extract robust information.\n\nThe workshop aims to provide such methods 
 for engineers and researchers directly involved in functional genomics pro
 jects making use of single-cell technologies. A wide range of single cell 
 topics will be covered in lectures\, demonstrations and practical classes.
  Among others\, the areas and issues to be addressed will include the choi
 ce of the most appropriate single-cell sequencing technology\, the experim
 ental design and the bioinformatics and statistical methods and pipelines.
  For this edition\, new courses/practicals will focus on spatial transcrip
 tomics\, cell phenotyping and additional multi-omics.\n\nA wide range of s
 ingle cell topics will be covered in lectures\, demonstrations and practic
 al classes. Among others\, the areas and issues to be addressed will inclu
 de the choice of the most appropriate single-cell sequencing technology\, 
 the experimental design and the bioinformatics and statistical methods and
  pipelines. For this edition\, new courses/practicals will focus on spatia
 l transcriptomics\, cell phenotyping and additional multi-omics.\n\nRequir
 ements : Participants must have prior experience on NGS data analysis  wit
 h everyday use of R and good knowledge of Unix command line. Before the tr
 aining\, participants will be asked to familiarize themselves with the pro
 cessing and primary analyses steps of scRNA-seq datasets with provided ped
 agogic material.\n\nIt is not necessary to have personal single-cell data 
 to analyse.\n\nAll the classes will be taught in English
SUMMARY:5th workshop Single-Cell : Transcriptomics\, Spatial and Long reads
URL;VALUE=URI:https://moodle.france-bioinformatique.fr/course/view.php?id=2
 7
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