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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 N, Gaunt, Tom R, Campbell, Colin
- Bioinformatics 2018 v.34 no.3 pp. 511-513
- Internet, bioinformatics, genome, humans, point mutation, prediction
- 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. The FATHMM-XF web server is available at http://fathmm.biocompute.org.uk/fathmm-xf/, and as tracks on the Genome Tolerance Browser: http://gtb.biocompute.org.uk. Predictions are provided for human genome version GRCh37/hg19. The data used for this project can be downloaded from: http://fathmm.biocompute.org.uk/fathmm-xf/ email@example.com or firstname.lastname@example.org Supplementary data are available at Bioinformatics online.