Bioinformatics and artificial intelligence in genomic data analysis: current advances and future directions.

Saved in:
Bibliographic Details
Title: Bioinformatics and artificial intelligence in genomic data analysis: current advances and future directions.
Authors: Olawade DB; Department of Allied and Public Health, School of Health, Sport and Bioscience, University of East London, London, UK. d.olawade@yorksj.ac.uk.; Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham, ME7 5NY, UK. d.olawade@yorksj.ac.uk.; Department of Public Health, York St John University, London, UK. d.olawade@yorksj.ac.uk., Kade A; School of Life Sciences, Gibbet Hill, University of Warwick, Warwick, UK., Egbon E; Department of Tissue Engineering and Regenerative Medicine, Faculty of Life Science Engineering, FH Technikum, Vienna, Austria., Usman SO; Department of Systems and Industrial Engineering, University of Arizona, Tucson, USA., Fapohunda O; Department of Chemistry and Biochemistry, University of Arizona, Tucson, USA., Ijiwade J; Department of Chemistry, Faculty of Science, University of Ibadan, Ibadan, Nigeria., Ogbonna CE; Department of Civil/Industrial Engineering, Bahçeşehir Cyprus University, Lefkosa-Guzelyurt, Alaykoy, Mersin-10, Turkey.
Source: Molecular genetics and genomics : MGG [Mol Genet Genomics] 2025 Dec 05; Vol. 300 (1), pp. 111. Date of Electronic Publication: 2025 Dec 05.
Publication Type: Journal Article; Review
Journal Info: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 101093320 Publication Model: Electronic Cited Medium: Internet ISSN: 1617-4623 (Electronic) Linking ISSN: 16174623 NLM ISO Abbreviation: Mol Genet Genomics Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1617-4623
DOI:10.1007/s00438-025-02314-x