Cancer Dependency Map Analytics | Cancer, Ageing and Somatic Mutation

Cancer Dependency Map Analytics | Cancer, Ageing and Somatic Mutation

Cancer Dependency Map Analytics

Our Research and Approach

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We design algorithms and computational tools for the analysis of large-scale cancer pharmacogenomics and functional genomics datasets (from chemical and genome-editing screens) to the aim of identifiying new oncology therapeutic targets and markers of gene-essentiality/drug-response.

In partnership with Open Targets, we provide computational support and analytic solutions to the international Cancer Dependency Map consortium, and to other projects engaged in the analysis of data from large-scale chemo/genetic screens.

We are recruiting: We are currently seeking for a post-doctoral fellow (Job Ref. 83073) and a senior bioinformatician (Job Ref. 83074). Contact francesco.iorio@sanger.ac.uk for informal enquiries.

People

Iorio, Francesco
Dr Francesco iorio
Group Leader

Francesco completed his PhD in the Systems, Synthetic and Computational Biology Laboratory of the TeleThon Institute of Genetics and Medicine (TIGEM, Naples, Italy), focusing on computational methods for drug discovery and repositioning based on the analysis of large compendia of gene expression profiles. Subsequently he was awarded a joint EMBL-EBI/Sanger postdoctoral fellowship (ESPOD) and he worked on integrative computational frameworks for predicting and dissecting drug susceptibility in cancer based on the analysis of data from large-scale drug screens. Prior joining CASM at the Wellcome Sanger Institute, he has been the leading computational scientist in a project funded by Open Targets aiming at identifying new therapeutic targets and synthetic lethalities in cancer, through the analysis of data from a large-scale, genome-wide CRISPR-Cas9 knockout screen across hundreds of cancer cell lines.

Key Projects, Collaborations, Tools & Data

Research Programmes

Partners and Funders

Internal Partners
External Partners and Funders