University of Cambridge > Talks.cam > "Life Sciences Masterclass"  > Analysing the transcriptome of cells: computational challenges and applications of single cell RNA-sequencing

Analysing the transcriptome of cells: computational challenges and applications of single cell RNA-sequencing

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  • UserDr Catalina Vallejos (MRC Biostatistics Unit & EMBL-EBI) & Dr Antonio Scialdone (EMBL-EBI)
  • ClockWednesday 17 February 2016, 18:30-20:00
  • HousePostdoc Centre, 16 Mill Lane.

If you have a question about this talk, please contact Mark Dunning.

Single-cell RNA -sequencing (scRNA-seq) is a robust assay allowing transcriptional profiling of hundreds of single cells in culture and primary tissues. The insights offered by single-cell transcriptomes have helped address many biological questions where standard bulk sequencing is not effective. However, scRNA-seq still presents experimental and computional challenges. New methods are required to disentangle the biological signal of interest from technical noise. The speakers will present an overview of techniques used in single cell transcriptomics, focusing on a new statistical model, BASiCS, (Bayesian Analysis of Single-Cell Sequencing Data). This was recently introduced to analyse scRNA-seq data by simultaneously removing technical noise and downstream analyses. Finally, data generated from mouse embryos will be discussed, showing how single-cell transcriptome analysis can help unravel the mechanisms of cell fate decision.

This talk is part of the "Life Sciences Masterclass" series.

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