BioSet2Vec: extraction of k-mer dictionaries from multiple sets of biological sequences via big data technologies
The framework has been validated on three different case studies: (1) the characterization of different chromatin states; (2) the study of association between different diseases and related genes; (3) the analysis of genomes of different organisms. All tests performed on the considered datasets have shown the potentialities of the proposed approach.
Authors
- Ylenia Galluzzo
- Simona E. Rombo (ORCID: https://orcid.org/0000-0003-3833-835X)
- Filippo Utro (ORCID: https://orcid.org/0000-0003-3226-7642)
- Raffaele Giancarlo (ORCID: https://orcid.org/0000-0002-6286-8871)
Institutions
- IBM (United States) (US)
- University of Palermo (IT)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2025-10-27
- DOI
- https://doi.org/10.1186/s12859-025-06261-7
- Primary Topic
- Genomics and Phylogenetic Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00