Presentation Open Access
Bittremieux, Wout;
Meysman, Pieter;
Noble, William Stafford;
Laukens, Kris
<?xml version='1.0' encoding='utf-8'?> <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"> <dc:creator>Bittremieux, Wout</dc:creator> <dc:creator>Meysman, Pieter</dc:creator> <dc:creator>Noble, William Stafford</dc:creator> <dc:creator>Laukens, Kris</dc:creator> <dc:date>2018-07-23</dc:date> <dc:description>Open modification search (OMS) is a powerful search strategy that identifies peptides carrying any type of modification by allowing a modified spectrum to match against its unmodified variant by using a very wide precursor mass window. A drawback of this strategy, however, is that it leads to a large increase in search time. Although performing an open search can be done using existing spectral library search engines by simply setting a wide precursor mass window, none of these tools have been optimized for OMS, leading to excessive runtimes and suboptimal identification results. Here we present the ANN-SoLo tool for fast and accurate open spectral library searching. ANN-SoLo uses approximate nearest neighbor indexing to speed up OMS by selecting only a limited number of the most relevant library spectra to compare to an unknown query spectrum. This approach is combined with a cascade search strategy to maximize the number of identified unmodified and modified spectra while strictly controlling the false discovery rate, as well as a shifted dot product score to sensitively match modified spectra to their unmodified counterparts. ANN-SoLo outperforms the state-of-the-art SpectraST spectral library search engine both in terms of speed and the number of identifications. On a previously published human cell line data set, ANN-SoLo confidently identifies 40% more spectra than SpectraST while achieving a speedup of an order of magnitude. ANN-SoLo is implemented in Python and C++. It is freely available under the Apache 2.0 license at https://github.com/bittremieux/ANN-SoLo.</dc:description> <dc:identifier>https://zenodo.org/record/1319036</dc:identifier> <dc:identifier>10.5281/zenodo.1319036</dc:identifier> <dc:identifier>oai:zenodo.org:1319036</dc:identifier> <dc:relation>doi:10.1101/326173</dc:relation> <dc:relation>doi:10.5281/zenodo.1319035</dc:relation> <dc:rights>info:eu-repo/semantics/openAccess</dc:rights> <dc:rights>https://creativecommons.org/licenses/by-sa/4.0/legalcode</dc:rights> <dc:title>Fast open modification spectral library searching through approximate nearest neighbor indexing</dc:title> <dc:type>info:eu-repo/semantics/lecture</dc:type> <dc:type>presentation</dc:type> </oai_dc:dc>
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