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- Title
BUFET: boosting the unbiased miRNA functional enrichment analysis using bitsets.
- Authors
Zagganas, Konstantinos; Vergoulis, Thanasis; Paraskevopoulou, Maria; Vlachos, Ioannis; Skiadopoulos, Spiros; Dalamagas, Theodore
- Abstract
Background: A 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. Results: We 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. Conclusions: BUFET 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.
- Subjects
MICRORNA; GENE targeting; GENETIC regulation; GENE expression; GENE ontology
- Publication
BMC Bioinformatics, 2017, Vol 18, Issue 1, p1
- ISSN
1471-2105
- Publication type
Article
- DOI
10.1186/s12859-017-1812-8