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Article

MutaFrame - an interpretative visualization framework for deleteriousness prediction of missense variants in the human exome

2021-06-03

Abstract excerpt

<h4>Motivation</h4> High-throughput experiments are generating ever increasing amounts of various -omics data, so shedding new light on the link between human disorders, their genetic causes, and the related impact on protein behavior and structure. While numerous bioinformatics tools now exist that predict which variants in the human exome cause diseases, few tools predict the reasons why they might do so. Yet,...

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Literature Corpus work
4a97e479-5d78-5d1d-ae81-723ebfbb196d
DOI
10.1101/2021.06.03.446874
Open publication

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MutaFrame - an interpretative visualization framework for deleteriousness prediction of missense variants in the human exomeDOI 10.1101/2021.06.03.446874
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