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Anna Price

dblp:301/4787 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
0000-0002-0769-0417ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › metabolomics › lipidomics
lipid identification
0.512021
LipidFinder 2.0: advanced informatics pipeline for lipidomics discovery applications · Bioinform. 2021
Bioinformatics and computational biology › metabolomics
lipidomics
0.512021
LipidFinder 2.0: advanced informatics pipeline for lipidomics discovery applications · Bioinform. 2021
Bioinformatics and computational biology
metabolomics
0.512021
LipidFinder 2.0: advanced informatics pipeline for lipidomics discovery applications · Bioinform. 2021

Methods — techniques the papers use, named apart from their topics

target-decoy strategy · 0.5isotope deletion · 0.5database search · 0.5
YearPublicationVenuePosition
2021 LipidFinder 2.0: advanced informatics pipeline for lipidomics discovery applications
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.
Patricia Rodrigues, Eoin Fahy, Anne O'connor, Anna Price, Caroline Gaud, Simon Andrews, H. Paul Benton, Gary Siuzdak, Jade I Hawksworth, Maria Valdivia-Garcia, Stuart M. Allen, Valerie B. O'Donnell
Bioinform.5