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. 2017 Jul 7;37(4):BSR20160180. doi: 10.1042/BSR20160180

Table 1. Bioinformatics resources to help identify the functional impact of mutations and tools designed to analyse cancer mutations*.

Tool Reference Comments URL
CHASM* [27] Probability that the mutation gives the cells a selective survival advantage http://wiki.chasmsoftware.org/index.php/Main_Page
Condel [28] Combines FATHMM, mutation assessor etc. http://bg.upf.edu/fannsdb/
FATHMM* [29] Distinguishes between cancer promoting and ‘neutral’ germline polymorphisms using hidden Markov models http://fathmm.biocompute.org.uk/about.html
Mutation assessor* [30] Based on evolutionary conservation of the affected amino acid in protein homologues http://mutationassessor.org/r3/
Polyphen-2 [31] Uses straightforward physical and comparative considerations http://genetics.bwh.harvard.edu/pph2/
SIFT [32] Based on sequence homology and the physical properties of amino acids http://sift.bii.a-star.edu.sg/
TransFIC* [23] Transforms functional impact scores provided by other tools by taking into account the differences in basal tolerance to germline single nucleotide variants (SNVs) of genes that belong to different functional classes http://bg.upf.edu/transfic/home