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MUT‐TP53 2.0: a novel versatile matrix for statistical analysis of TP53 mutations in human cancer a
Author(s) -
Soussi Thierry,
Hamroun Dalil,
Hjortsberg Linn,
RubioNevado Jean Michel,
Fournier Jean Louis,
Béroud Christophe
Publication year - 2010
Publication title -
human mutation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.981
H-Index - 162
eISSN - 1098-1004
pISSN - 1059-7794
DOI - 10.1002/humu.21313
Subject(s) - hum , biology , mutation , genetics , computational biology , mutant , computer science , gene , history , performance art , art history
Abstract 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 developed MUT‐TP53 2.0, an accurate and powerful tool that will automatically handle p53 mutations and generate tables ready for publication that will lower the risk of typographical errors. Furthermore, using functional and statistical information issued from the UMD p53 database, it allows to assess the biological activity and the likelihood of every p53 mutant. Hum Mutat 31:1020–1025, 2010. © 2010 Wiley‐Liss, Inc.