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原文連結
論文資訊
- 類型：已發表論文
- 日期：2013-05-09
摘要
Correct annotation of 蛋白質 coding genes is the basis of conventional data analysis in proteomic studies. Nevertheless, most 蛋白質 sequence databases almost exclusively rely on gene finding software and inevitably also miss 蛋白質 annotations or possess errors. Proteogenomics tries to overcome these issues by matching MS data directly against a 基因組 sequence database. Here we report an in-depth proteogenomics study of Helicobacter pylon strain 26695. MS data was searched against a combined database of the NCBI annotations and a six-frame translation of the 基因組. Database searches with Mascot and X! Tandem revealed 1115 蛋白質s identified by at least two peptides with a peptide false discovery rate below 1%. This represents 71% of the predicted proteome. So far this is the most extensive proteome study
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