Marioni Group | Single cell genomics
John Marioni's group develop computational and statistical tools to exploit high-throughput genomics data to understand the regulation of gene expression and to model developmental and evolutionary processes. His team has pioneered approaches for analysing single-cell transcriptomics data and, together with four colleagues, he co-ordinates the Sanger Institute-EBI Single-Cell Genomics Centre.
Key Projects, Collaborations, Tools & Data
Partners and Funders
Specificity of RNAi, LNA and CRISPRi as loss-of-function methods in transcriptional analysis.
Nucleic acids research 2018
PUBMED: 29860520; DOI: 10.1093/nar/gky437
Using single-cell genomics to understand developmental processes and cell fate decisions.
Molecular systems biology 2018;14;4;
Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors.
Nature biotechnology 2018
PUBMED: 29608177; DOI: 10.1038/nbt.4091