Presentation Open Access
Bittremieux, Wout;
Meysman, Pieter;
Noble, William Stafford;
Laukens, Kris
{ "files": [ { "links": { "self": "https://zenodo.org/api/files/e346d6f1-c44f-471e-998a-92fa83d9efa6/Cascadia%20Proteomics_2018_Fast%20open%20modification%20spectral%20library%20searching%20through%20approximate%20nearest%20neighbor%20indexing.pptx" }, "checksum": "md5:e4403f2a7853896a73141e3fd4e3b063", "bucket": "e346d6f1-c44f-471e-998a-92fa83d9efa6", "key": "Cascadia Proteomics_2018_Fast open modification spectral library searching through approximate nearest neighbor indexing.pptx", "type": "pptx", "size": 14582346 } ], "owners": [ 22786 ], "doi": "10.5281/zenodo.1319036", "stats": { "version_unique_downloads": 54.0, "unique_views": 32.0, "views": 37.0, "version_views": 110.0, "unique_downloads": 20.0, "version_unique_views": 90.0, "volume": 320811612.0, "version_downloads": 65.0, "downloads": 22.0, "version_volume": 947851544.0 }, "links": { "doi": "https://doi.org/10.5281/zenodo.1319036", "conceptdoi": "https://doi.org/10.5281/zenodo.1319035", "bucket": "https://zenodo.org/api/files/e346d6f1-c44f-471e-998a-92fa83d9efa6", "conceptbadge": "https://zenodo.org/badge/doi/10.5281/zenodo.1319035.svg", "html": "https://zenodo.org/record/1319036", "latest_html": "https://zenodo.org/record/1319591", "badge": "https://zenodo.org/badge/doi/10.5281/zenodo.1319036.svg", "latest": "https://zenodo.org/api/records/1319591" }, "conceptdoi": "10.5281/zenodo.1319035", "created": "2018-07-22T17:26:44.100766+00:00", "updated": "2020-01-20T15:34:29.462467+00:00", "conceptrecid": "1319035", "revision": 5, "id": 1319036, "metadata": { "access_right_category": "success", "doi": "10.5281/zenodo.1319036", "description": "<p>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.</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 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.</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>", "license": { "id": "CC-BY-SA-4.0" }, "title": "Fast open modification spectral library searching through approximate nearest neighbor indexing", "relations": { "version": [ { "count": 2, "index": 0, "parent": { "pid_type": "recid", "pid_value": "1319035" }, "is_last": false, "last_child": { "pid_type": "recid", "pid_value": "1319591" } } ] }, "publication_date": "2018-07-23", "creators": [ { "orcid": "0000-0002-3105-1359", "affiliation": "University of Washington", "name": "Bittremieux, Wout" }, { "orcid": "0000-0001-5903-633X", "affiliation": "University of Antwerp", "name": "Meysman, Pieter" }, { "orcid": "0000-0001-7283-4715", "affiliation": "University of Washington", "name": "Noble, William Stafford" }, { "orcid": "0000-0002-8217-2564", "affiliation": "University of Antwerp", "name": "Laukens, Kris" } ], "meeting": { "url": "http://www.cascadiaproteomics.org/", "dates": "23-24 July 2018", "place": "Seattle, WA, USA", "title": "Cascadia Proteomics Symposium" }, "access_right": "open", "resource_type": { "type": "presentation", "title": "Presentation" }, "related_identifiers": [ { "scheme": "doi", "identifier": "10.1101/326173", "relation": "isDocumentedBy" }, { "scheme": "doi", "identifier": "10.5281/zenodo.1319035", "relation": "isVersionOf" } ] } }
All versions | This version | |
---|---|---|
Views | 110 | 37 |
Downloads | 65 | 22 |
Data volume | 947.9 MB | 320.8 MB |
Unique views | 90 | 32 |
Unique downloads | 54 | 20 |