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FATHMM-XF: accurate prediction of pathogenic point mutations via extended features

Rogers, Mark F., Shihab, Hashem A., Mort, Matthew, Cooper, David, Gaunt, Tom R. and Campbell, Colin 2017. FATHMM-XF: accurate prediction of pathogenic point mutations via extended features. Bioinformatics 10.1093/bioinformatics/btx536

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Summary: We present FATHMM-XF, a method for predicting pathogenic point mutations in the human genome. Drawing on an extensive feature set, FATHMM-XF outperforms competitors on benchmark tests, particularly in non-coding regions where the majority of pathogenic mutations are likely to be found. Availability and implementation: The FATHMM-XF web server is available at, and as tracks on the Genome Tolerance Browser: http://gtb.biocom Predictions are provided for human genome version GRCh37/hg19. The data used for this project can be downloaded from:

Item Type: Article
Date Type: Published Online
Status: In Press
Schools: Medicine
Publisher: Oxford University Press
ISSN: 1367-4803
Last Modified: 30 May 2018 19:20

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