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AUDENS:一种用于肽段从头测序的自动化工具。

AUDENS: a tool for automated peptide de novo sequencing.

作者信息

Grossmann Jonas, Roos Franz F, Cieliebak Mark, Lipták Zsuzsanna, Mathis Lucas K, Müller Matthias, Gruissem Wilhelm, Baginsky Sacha

机构信息

Institute of Plant Sciences, Swiss Federal Institute of Technology, ETH Zentrum, CH-8092 Zürich, Switzerland.

出版信息

J Proteome Res. 2005 Sep-Oct;4(5):1768-74. doi: 10.1021/pr050070a.

Abstract

We present AUDENS, a new platform-independent open source tool for automated de novo sequencing of peptides from MS/MS data. We implemented a dynamic programming algorithm and combined it with a flexible preprocessing module which is designed to distinguish between signal and other peaks. By applying a user-defined set of heuristics, AUDENS screens through the spectrum and assigns high relevance values to putative signal peaks. The algorithm constructs a sequence path through the MS/MS spectrum using the peak relevances to score each suggested sequence path, i.e., the corresponding amino acid sequence. At present, we consider AUDENS a prototype that unfolds its biggest potential if used in parallel with other de novo sequencing tools. AUDENS is available open source and can be downloaded with further documentation at http://www.ti.inf.ethz.ch/pw/software/audens/ .

摘要

我们展示了AUDENS,这是一种全新的、独立于平台的开源工具,用于从MS/MS数据中自动进行肽段的从头测序。我们实现了一种动态规划算法,并将其与一个灵活的预处理模块相结合,该模块旨在区分信号峰和其他峰。通过应用一组用户定义的启发式方法,AUDENS对质谱图进行筛选,并为假定的信号峰赋予高相关性值。该算法利用峰相关性构建一条贯穿MS/MS质谱图的序列路径,以对每个建议的序列路径(即相应的氨基酸序列)进行评分。目前,我们认为AUDENS是一个原型,如果与其他从头测序工具并行使用,它将发挥出最大潜力。AUDENS是开源的,可在http://www.ti.inf.ethz.ch/pw/software/audens/ 下载,并附有更多文档。

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