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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.
Afiliación
  • Alvarez-Jarreta J; School of Medicine, Systems Immunity Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK.
  • Rodrigues PRS; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton CB10 1SD, UK.
  • Fahy E; School of Medicine, Systems Immunity Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK.
  • O'Connor A; Department of Bioengineering, University of California, San Diego, CA 92037, USA.
  • Price A; School of Medicine, Systems Immunity Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK.
  • Gaud C; School of Biosciences, Cardiff University, Cardiff CF10 3AX, UK.
  • Andrews S; Bioinformatics, Babraham Institute, Cambridge CF24 3AA, UK.
  • Benton P; Bioinformatics, Babraham Institute, Cambridge CF24 3AA, UK.
  • Siuzdak G; The Scripps Research Institute, Center for Metabolomics, La Jolla, CA 92037, USA.
  • Hawksworth JI; The Scripps Research Institute, Center for Metabolomics, La Jolla, CA 92037, USA.
  • Valdivia-Garcia M; School of Medicine, Systems Immunity Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK.
  • Allen SM; School of Medicine, Systems Immunity Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK.
  • O'Donnell VB; School of Computer Science and Informatics, Cardiff University, Cardiff CF24 3AA, UK.
Bioinformatics ; 37(10): 1478-1479, 2021 06 16.
Article en En | MEDLINE | ID: mdl-33027502
ABSTRACT

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.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Lipidómica Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Lipidómica Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido