Analysis of single cell RNA-seq data
Organizer: University of Cambridge
Host institution: University of Cambridge Bioinformatics Training
Start: Tuesday, 31 October 2017 @ 09:30
End: Wednesday, 01 November 2017 @ 17:00
Venue: Craik-Marshall Building
Country: United Kingdom
Postcode: CB2 3AR
Scientific topic: Transcriptomics, Functional genomics, Data visualisation, Data mining, BioinformaticsTarget audience:
- Graduate students
- Postdocs and Staff members from the University of Cambridge
- Institutions and other external Institutions or individuals
Recent technological advances have made it possible to obtain genome-wide transcriptome data from single cells using high-throughput sequencing (scRNA-seq). Even though scRNA-seq makes it possible to address problems that are intractable with bulk RNA-seq data, analysing scRNA-seq is also more challenging.
In this course we will be surveying the existing problems as well as the available computational and statistical frameworks available for the analysis of scRNA-seq.
The course website providing links to the course materials can be found here.
The training room is located on the first floor and there is currently no wheelchair access to this level.
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