Author

Matthew Clarke

Primary ORCID profile (0000-0003-2405-5770 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Matthew ClarkeiD1 paper · Institute of Cancer Research

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Approach:deep learning· 1 Organism:human· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Ann Strydom· 1 shared Anthony Renwick· 1 shared Elise RuarkiD· 1 shared Emma Ramsay· 1 shared Gerton Lunter· 1 shared Márton Münz· 1 shared Nazneen RahmaniD· 1 shared Shazia Mahamdallie· 1 shared

Activity by Year

2015-2015 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Ann Strydom

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1 paper

Recent·Most cited

CSN and CAVA: variant annotation tools for rapid, robust next-generation sequencing analysis in the clinic

Márton Münz, Elise Ruark, Anthony Renwick, Emma Ramsay, Matthew Clarke, Shazia Mahamdallie, Victoria Cloke, Sheila Seal, Ann Strydom, Gerton Lunter, Nazneen Rahman

This paper introduces CSN and CAVA, tools for standardized, rapid variant annotation of NGS data, showing high accuracy and clinical relevance in BRCA1/BRCA2 analysis.

bioRxiv · Mar 21, 2015Genomics