ReviewFrontiers in bioinformatics2022
A brief survey of tools for genomic regions enrichment analysis.
Review in Frontiers in bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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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.
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Who cites it
13 citing papers in PubMed.
- Decoding the senescent endothelial landscape in ischemic stroke through single-cell and bulk RNA sequencing.Functional & integrative genomics · 2026Article
- MPGK: A user-friendly tool for Mendelian randomization, polygenic risk score, Geno Ontology, and the Kyoto Encyclopedia of Genes and Genomes analysis.Chinese medical journal · 2026Article
- Ten common mistakes that could ruin your enrichment analysis.PLoS computational biology · 2026Article
- A comparison of differential DNA methylation analysis methods for continuous outcomes: implications for epigenetic studies.Epigenomics · 2026Article
- Protein interactions, network pharmacology, and machine learning work together to predict genes linked to mitochondrial dysfunction in hypertrophic cardiomyopathy.Scientific reports · 2025Article
- Single cell RNA-sequencing identified CCR7+/RELB+/IRF1+ T cell responding for juvenile idiopathic arthritis pathogenesis.Frontiers in immunology · 2025Article
- Curcumin Analog J7 Attenuates Liver Fibrosis and Metabolic Dysregulation in a Rat Model of Type 2 Diabetes via Modulation of TGF-β/Smad and NF-κB/BCL-2/BAX Pathways.Drug design, development and therapy · 2025Article
- Clock protein LHY targetsScience advances · 2024Article
- Systematic Analysis of the Relationship Between Elevated Zinc and Epilepsy.Journal of molecular neuroscience : MN · 2024Article
- Rel Family Transcription Factor NFAT5 Upregulates COX2 via HIF-1α Activity in Ishikawa and HEC1a Cells.International journal of molecular sciences · 2024Article
- Article
- Flame (v2.0): advanced integration and interpretation of functional enrichment results from multiple sources.Bioinformatics (Oxford, England) · 2023Article
- Ten quick tips for avoiding pitfalls in multi-omics data integration analyses.PLoS computational biology · 2023Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Functional enrichment analysis or pathway enrichment analysis (PEA) is a bioinformatics technique which identifies the most over-represented biological pathways in a list of genes compared to those that would be associated with them by chance. These biological functions are found on bioinformatics annotated databases such as The Gene Ontology or KEGG; the more abundant pathways are identified through statistical techniques such as Fisher's exact test. All PEA tools require a list of genes as input. A few tools, however, read lists of genomic regions as input rather than lists of genes, and first associate these chromosome regions with their corresponding genes. These tools perform a procedure called
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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.