Predicting cancer drivers: are we there yet?

Vidhya G. Krishnan, Pauline C. Ng

Research output: Contribution to journalComment/debate

1 Scopus citations

Abstract

Genomic variants with a key role in causing cancer or affecting the response to cancertherapeutics need to be identified so that they can be targeted for therapy. The transFIC tool aimsto identify somatic point mutations that drive cancer in sequencing projects. This package isavailable as a web service, a stand-alone program and a website. It improves the functionalprediction scores generated by popular established prediction tools and will be useful to cancerresearchers.See research article: http://genomemedicine.com/content/4/11/89.

Original languageEnglish
Article number88
JournalGenome Medicine
Volume4
Issue number11
DOIs
StatePublished - 26 Nov 2012
Externally publishedYes

Bibliographical note

Funding Information:
It has come to our attention that there is an error in the Acknowledgements section of our article [1]. e Acknowledgements section should read: SE is supported by the European Union through the IRG program. e results published here are in whole or part based upon data generated by e Cancer Genome Atlas pilot project established by the NCI and NHGRI. Information about TCGA and the investigators and institutions who constitute the TCGA research network can be found at the project website [2].

Funding

It has come to our attention that there is an error in the Acknowledgements section of our article [1]. e Acknowledgements section should read: SE is supported by the European Union through the IRG program. e results published here are in whole or part based upon data generated by e Cancer Genome Atlas pilot project established by the NCI and NHGRI. Information about TCGA and the investigators and institutions who constitute the TCGA research network can be found at the project website [2].

FundersFunder number
European Commission

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