Abstract：
:A key step in mass spectrometry (MS)-based proteomics is the identification of peptides in sequence databases by their fragmentation spectra. Here we describe Andromeda, a novel peptide search engine using a probabilistic scoring model. On proteome data, Andromeda performs as well as Mascot, a widely used commercial search engine, as judged by sensitivity and specificity analysis based on target decoy searches. Furthermore, it can handle data with arbitrarily high fragment mass accuracy, is able to assign and score complex patterns of post-translational modifications, such as highly phosphorylated peptides, and accommodates extremely large databases. The algorithms of Andromeda are provided. Andromeda can function independently or as an integrated search engine of the widely used MaxQuant computational proteomics platform and both are freely available at www.maxquant.org. The combination enables analysis of large data sets in a simple analysis workflow on a desktop computer. For searching individual spectra Andromeda is also accessible via a web server. We demonstrate the flexibility of the system by implementing the capability to identify cofragmented peptides, significantly improving the total number of identified peptides.
journal_name
J Proteome Resjournal_title
Journal of proteome researchauthors
Cox J,Neuhauser N,Michalski A,Scheltema RA,Olsen JV,Mann Mdoi
10.1021/pr101065jsubject
Has Abstractpub_date
2011-04-01 00:00:00pages
1794-805issue
4eissn
1535-3893issn
1535-3907journal_volume
10pub_type
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更新日期：2013-07-05 00:00:00
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更新日期：2011-05-06 00:00:00
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