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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...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
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.
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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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