LOLA
LOLA performs enrichment analysis of genomic region sets to interpret functional genomics and epigenomics data.
Key Features:
- Automated Enrichment Analysis: Automates testing overlaps between user-defined genomic region sets and reference databases to identify enriched region annotations.
- Integration with Reference Databases: Compares genomic region sets against large-scale reference databases to contextualize high-throughput region-based data.
- Customizable Analysis: Allows testing overlaps with public genomic range databases or user-supplied custom regions.
Scientific Applications:
- Functional Genomics and Epigenomics Interpretation: Interprets spatial relationships among genomic elements in functional genomics and epigenomics datasets.
- Identification of Regulatory Mechanisms: Aids in uncovering potential regulatory interactions by identifying significantly overlapping genomic regions.
Methodology:
Systematically tests overlaps between user-defined genomic region sets and reference datasets to perform enrichment analyses.
Topics
Collections
Details
- License:
- GPL-3.0
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 1/17/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Sheffield NC, Bock C. LOLA: enrichment analysis for genomic region sets and regulatory elements in R and Bioconductor. Bioinformatics. 2015;32(4):587-589. doi:10.1093/bioinformatics/btv612. PMID:26508757. PMCID:PMC4743627.
Documentation
Downloads
Links
Mirror
http://databio.org/lola