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The <i>Cancermuts</i> software package for the prioritization of missense cancer variants: a case study of AMBRA1 in melanoma

2022-05-24

Abstract excerpt

Cancer genomics and cancer mutation databases have made a wealth of information about missense mutations found in cancer patient samples. Contextualizing by means of annotation and predicting the effect of amino acid change help identify which ones are more likely to have a pathogenic impact. Those can be validated by means of experimental approaches that assess the impact of protein mutations on the cellular func...

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Identifiers and source

Literature Corpus work
31408856-fdb2-5713-8b17-e5c14beb08eb
DOI
10.1101/2022.05.23.493014
Open publication

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The <i>Cancermuts</i> software package for the prioritization of missense cancer variants: a case study of AMBRA1 in melanomaDOI 10.1101/2022.05.23.493014
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