ArticleBMC bioinformatics2017
BUFET: boosting the unbiased miRNA functional enrichment analysis using bitsets.
Article in BMC bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Plasma-Derived Extracellular Vesicle-Propagated microRNA From Aortic Stenosis Patients Render Pro-Calcifying Effects on Valve Interstitial Cells.JACC. Basic to translational science · 2025Article
- An Overview of miRNA and miRNA Target Analysis Tools.Methods in molecular biology (Clifton, N.J.) · 2025Review
- PanomiR: a systems biology framework for analysis of multi-pathway targeting by miRNAs.Briefings in bioinformatics · 2023Article
- NcPath: a novel platform for visualization and enrichment analysis of human non-coding RNA and KEGG signaling pathways.Bioinformatics (Oxford, England) · 2023Article
- MircoRNA in Extracellular Vesicles from Patients with Pulmonary Arterial Hypertension Alters Endothelial Angiogenic Response.International journal of molecular sciences · 2022Article
- miRPathDB 2.0: a novel release of the miRNA Pathway Dictionary Database.Nucleic acids research · 2020Article
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Authors and funding
6 authors.
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Abstract
backgroundA group of miRNAs can regulate a biological process by targeting genes involved in the process. The unbiased miRNA functional enrichment analysis is the most precise in silico approach to predict the biological processes that may be regulated by a given miRNA group. However, it is computationally intensive and significantly more expensive than its alternatives.
resultsWe introduce BUFET, a new approach to significantly reduce the time required for the execution of the unbiased miRNA functional enrichment analysis. It derives its strength from the utilization of efficient bitset-based methods and parallel computation techniques.
conclusionsBUFET outperforms the state-of-the-art implementation, in regard to computational efficiency, in all scenarios (both single- and multi-core), being, in some cases, more than one order of magnitude faster.
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