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
Programmes, Associate Research Programmes and Facilities
Partners and Funders
BASiCS: Bayesian Analysis of Single-Cell Sequencing Data.
PLoS computational biology 2015;11;6;
PUBMED: 26107944; PMC: 4480965; DOI: 10.1371/journal.pcbi.1004333
High-throughput spatial mapping of single-cell RNA-seq data to tissue of origin.
Nature biotechnology 2015;33;5;
PUBMED: 25867922; DOI: 10.1038/nbt.3209
Computational and analytical challenges in single-cell transcriptomics.
Nature reviews. Genetics 2015;16;3;
PUBMED: 25628217; DOI: 10.1038/nrg3833
Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells.
Nature biotechnology 2015;33;2;
PUBMED: 25599176; DOI: 10.1038/nbt.3102