Andromeda: A Peptide Search Engine Integrated into the MaxQuant Environment

Jürgen Cox(Max Planck Society), Nadin Neuhauser(Max Planck Society), Annette Michalski(Max Planck Society), Richard A. Scheltema(Max Planck Society), Jesper V. Olsen, Matthias Mann(Max Planck Society)
Journal of Proteome Research
January 21, 2011
Cited by 5,846Open Access
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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.


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