Analysis of single cell RNA-seq data (ONLINE LIVE TRAINING)
Organizer: University of Cambridge
Host institution: University of Cambridge Bioinformatics Training
Start: Thursday, 04 November 2021 @ 09:30
End: Thursday, 18 November 2021 @ 17:30
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
PLEASE NOTE The Bioinformatics Team are presently teaching many courses live online, with tutors available to help you work through the course material on a personal copy of the course environment. We continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching back in the training room.
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.
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