Poster Open Access
Bittremieux, Wout;
Meysman, Pieter;
Noble, William Stafford;
Laukens, Kris
{ "publisher": "Zenodo", "DOI": "10.5281/zenodo.1418398", "title": "Fast open modification spectral library searching through approximate nearest neighbor indexing", "issued": { "date-parts": [ [ 2018, 9, 17 ] ] }, "abstract": "<p>Open modification searching (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.</p>\n\n<p>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.</p>\n\n<p>ANN-SoLo achieves state-of-the-art performance in terms of speed and the number of identifications. On a previously published human cell line data set, ANN-SoLo confidently identifies more spectra than SpectraST or MSFragger and achieves a speedup of an order of magnitude compared to SpectraST.</p>\n\n<p>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.</p>", "author": [ { "family": "Bittremieux, Wout" }, { "family": "Meysman, Pieter" }, { "family": "Noble, William Stafford" }, { "family": "Laukens, Kris" } ], "id": "1418398", "event-place": "Leavenworth, WA, USA", "type": "graphic", "event": "Department of Genome Sciences retreat" }
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