MUT-TP53 2.0: a novel versatile matrix for statistical analysis of TP53 mutations in human cancer.

Abstract excerpt

Analysis of the literature reporting p53 mutations shows that 8% of report display typographical mistakes with a notable increase in recent years. These errors are sometimes isolated, but in some cases, they concern several or even all mutations described in a single article. Furthermore, some works report unusual profile of p53 mutations whose accuracy is difficult to assess. To handle these problems we have...

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