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LipidFinder 2.0: advanced informatics pipeline for lipidomics discovery applications
SUMMARY: We present LipidFinder 2.0, incorporating four new modules that apply artefact filters, remove lipid and contaminant stacks, in-source fragments and salt clusters, and a new isotope deletion method which is significantly more sensitive than available open-access alternatives. We also incorp...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8208733/ https://www.ncbi.nlm.nih.gov/pubmed/33027502 http://dx.doi.org/10.1093/bioinformatics/btaa856 |
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author | Alvarez-Jarreta, Jorge Rodrigues, Patricia R S Fahy, Eoin O’Connor, Anne Price, Anna Gaud, Caroline Andrews, Simon Benton, Paul Siuzdak, Gary Hawksworth, Jade I Valdivia-Garcia, Maria Allen, Stuart M O’Donnell, Valerie B |
author_facet | Alvarez-Jarreta, Jorge Rodrigues, Patricia R S Fahy, Eoin O’Connor, Anne Price, Anna Gaud, Caroline Andrews, Simon Benton, Paul Siuzdak, Gary Hawksworth, Jade I Valdivia-Garcia, Maria Allen, Stuart M O’Donnell, Valerie B |
author_sort | Alvarez-Jarreta, Jorge |
collection | PubMed |
description | SUMMARY: We present LipidFinder 2.0, incorporating four new modules that apply artefact filters, remove lipid and contaminant stacks, in-source fragments and salt clusters, and a new isotope deletion method which is significantly more sensitive than available open-access alternatives. We also incorporate a novel false discovery rate method, utilizing a target–decoy strategy, which allows users to assess data quality. A renewed lipid profiling method is introduced which searches three different databases from LIPID MAPS and returns bulk lipid structures only, and a lipid category scatter plot with color blind friendly pallet. An API interface with XCMS Online is made available on LipidFinder’s online version. We show using real data that LipidFinder 2.0 provides a significant improvement over non-lipid metabolite filtering and lipid profiling, compared to available tools. AVAILABILITY AND IMPLEMENTATION: LipidFinder 2.0 is freely available at https://github.com/ODonnell-Lipidomics/LipidFinder and http://lipidmaps.org/resources/tools/lipidfinder. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-8208733 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-82087332021-06-17 LipidFinder 2.0: advanced informatics pipeline for lipidomics discovery applications Alvarez-Jarreta, Jorge Rodrigues, Patricia R S Fahy, Eoin O’Connor, Anne Price, Anna Gaud, Caroline Andrews, Simon Benton, Paul Siuzdak, Gary Hawksworth, Jade I Valdivia-Garcia, Maria Allen, Stuart M O’Donnell, Valerie B Bioinformatics Applications Notes SUMMARY: We present LipidFinder 2.0, incorporating four new modules that apply artefact filters, remove lipid and contaminant stacks, in-source fragments and salt clusters, and a new isotope deletion method which is significantly more sensitive than available open-access alternatives. We also incorporate a novel false discovery rate method, utilizing a target–decoy strategy, which allows users to assess data quality. A renewed lipid profiling method is introduced which searches three different databases from LIPID MAPS and returns bulk lipid structures only, and a lipid category scatter plot with color blind friendly pallet. An API interface with XCMS Online is made available on LipidFinder’s online version. We show using real data that LipidFinder 2.0 provides a significant improvement over non-lipid metabolite filtering and lipid profiling, compared to available tools. AVAILABILITY AND IMPLEMENTATION: LipidFinder 2.0 is freely available at https://github.com/ODonnell-Lipidomics/LipidFinder and http://lipidmaps.org/resources/tools/lipidfinder. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2020-12-10 /pmc/articles/PMC8208733/ /pubmed/33027502 http://dx.doi.org/10.1093/bioinformatics/btaa856 Text en © The Author(s) 2020. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Alvarez-Jarreta, Jorge Rodrigues, Patricia R S Fahy, Eoin O’Connor, Anne Price, Anna Gaud, Caroline Andrews, Simon Benton, Paul Siuzdak, Gary Hawksworth, Jade I Valdivia-Garcia, Maria Allen, Stuart M O’Donnell, Valerie B LipidFinder 2.0: advanced informatics pipeline for lipidomics discovery applications |
title | LipidFinder 2.0: advanced informatics pipeline for lipidomics discovery applications |
title_full | LipidFinder 2.0: advanced informatics pipeline for lipidomics discovery applications |
title_fullStr | LipidFinder 2.0: advanced informatics pipeline for lipidomics discovery applications |
title_full_unstemmed | LipidFinder 2.0: advanced informatics pipeline for lipidomics discovery applications |
title_short | LipidFinder 2.0: advanced informatics pipeline for lipidomics discovery applications |
title_sort | lipidfinder 2.0: advanced informatics pipeline for lipidomics discovery applications |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8208733/ https://www.ncbi.nlm.nih.gov/pubmed/33027502 http://dx.doi.org/10.1093/bioinformatics/btaa856 |
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