ArticleBioinformatics (Oxford, England)2021
LipidFinder 2.0: advanced informatics pipeline for lipidomics discovery applications.
Article in Bioinformatics (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- LipidCruncher: an open-source platform for processing, visualizing, and analyzing lipidomic data.BMC bioinformatics · 2026Article
- Lipidomics in Melanoma: Insights into Disease Progression and Therapeutical Targets.International journal of molecular sciences · 2026Review
- Lipidome Complexity in Physiological and Pathological Skin Pigmentation.International journal of molecular sciences · 2025Review
- Integrative processing of untargeted metabolomic and lipidomic data using MultiABLER.iScience · 2023Article
- ADViSELipidomics: a workflow for analyzing lipidomics data.Bioinformatics (Oxford, England) · 2022Article
- A Current Encyclopedia of Bioinformatics Tools, Data Formats and Resources for Mass Spectrometry Lipidomics.Metabolites · 2022Review
- The SARS-CoV2 envelope differs from host cells, exposes procoagulant lipids, and is disrupted in vivo by oral rinses.Journal of lipid research · 2022Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
summaryWe 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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.