AUDENS:: A tool for automated peptide de novo sequencing
AUDENS:: A tool for automated peptide de novo sequencing
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DOI：
10.1021/pr050070a
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发表时间：
2005-09-01
影响因子：
4.4
通讯作者：
Baginsky, S
中科院分区：
文献类型：
--
作者：
Grossmann, J;Roos, FF;Baginsky, S
我们提出了AUDENS，一个新的独立于平台的开源工具，用于从MS/MS数据中对肽进行自动从头测序。我们实现了一个动态规划算法，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和其他峰。通过应用一套用户定义的光谱分析，AUDENS筛选光谱，并为推定的信号峰分配高相关值。该算法使用峰相关性构建通过MS/MS谱的序列路径，以对每个建议的序列路径进行评分，即，对应的氨基酸序列。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，将发挥其最大的潜力。AUDENS是开源的，可以在http://www.ti.inf.ethz.ch/pw/software/audens/下载更多文档。
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/.