| Title | Claps | Level | Year | L/Y |
|---|---|---|---|---|
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FATHMM-XF: accurate prediction of pathogenic point mutations via extended features
Mark F. Rogers, Hashem A. Shihab, M. Mort, D. Cooper, Tom R. Gaunt, Colin Campbell
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…
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 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/
Published in
Bioinform.
|
126
|
8 | 2017 |
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