Overview
LipidFinder processes previously extracted lipidomics feature tables, removes artifacts, optionally combines polarities and searches lipid databases. This canonical entry includes version 2.0.
Also known as: LipidFinder 2.0
What can this tool do?
Common uses
- Filter LC-MS lipid features and obtain putative database annotations.
Scientific fit
Primary function
Preprocessing and feature extraction
Analysis types
Lipidomics
Data compatibility
Inputs
Feature or peak table
Outputs
Feature or peak table, Human-readable report
Input formats
Prepared LC-MS feature CSV files and JSON workflow parameters
Output formats
Filtered and annotated CSV tables; lipid-category plots
Scope and considerations
Designed for
- LipidFinder processes previously extracted lipidomics feature tables, removes artifacts, optionally combines polarities and searches lipid databases. This canonical entry includes version 2.0.
Not designed for
- Shotgun lipidomics, low-resolution data or definitive MS/MS structure identification.
Important requirements
- High-resolution LC-MS data processed into feature tables upstream, with suitable chromatographic separation.
- Python dependencies and documented column/parameter preparation.
Considerations
- Database mass matches are putative; inspect filtering and confirm identities with additional evidence.
Access and documentation
MIT declaration verified in official repository documentation and metadata. No installation or execution test performed.
License: MIT
Evidence and review
Enveda intake candidate checked against official documentation, license information and primary publication on 2026-10-21. Editorial review only; no execution or independent benchmark.
Core publications
Resource papers, direct updates and tool-specific methods. Selection policy.
- LipidFinder 2.0: advanced informatics pipeline for lipidomics discovery applications. Bioinformatics (2021). doi:10.1093/bioinformatics/btaa856
- LipidFinder: A computational workflow for discovery of lipids identifies eicosanoid-phosphoinositides in platelets. JCI Insight (2017). doi:10.1172/jci.insight.91634
Related tools
Entry history
Changes to this catalogue entry, not the tool's software release history. Acceptance and editorial review are separate.
- 2026-10-21 · First committed entry
Add nine reviewed Enveda tools and reconcile intake coverage
View change · Entry at this revision