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Figure 1 | Genome Medicine

Figure 1

From: Functional consequences of somatic mutations in cancer using protein pocket-based prioritization approach

Figure 1

Computational workflow and general summary. (A) The protein pocket-based integrative analysis workflow. (B) The distribution of protein pocket mutations by mutation types. (C) The number of missense mutations in the pocket regions of the top 10 frequently mutated genes. (D) Distribution of the number of missense mutations in the pocket regions in 28 cancer types. The detailed data are provided in Additional file 1: Table S1.

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Genome Medicine

ISSN: 1756-994X

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