{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["26(1)"],"submitter":["Tharanga S"],"funding":["Perdana University, Malaysia","University of Doha for Science and Technology, Qatar","Scientific and Technological Research Council of Turkey","Bezmialem Vakif University, Turkey"],"pubmed_abstract":["Sequence diversity is one of the major challenges in the design of diagnostic, prophylactic, and therapeutic interventions against viruses. DiMA is a novel tool that is big data-ready and designed to facilitate the dissection of sequence diversity dynamics for viruses. DiMA stands out from other diversity analysis tools by offering various unique features. DiMA provides a quantitative overview of sequence (DNA/RNA/protein) diversity by use of Shannon's entropy corrected for size bias, applied via a user-defined k-mer sliding window to an input alignment file, and each k-mer position is dissected to various diversity motifs. The motifs are defined based on the probability of distinct sequences at a given k-mer alignment position, whereby an index is the predominant sequence, while all the o"],"journal":["Briefings in bioinformatics"],"pagination":["bbae607"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11596295"],"repository":["biostudies-literature"],"pubmed_title":["DiMA: sequence diversity dynamics analyser for viruses."],"pmcid":["PMC11596295"],"pubmed_authors":["Celik MA","Miotto O","Unlu ES","Hu Y","Khan AM","Sjaugi MF","Hekimoglu H","Tharanga S","Oncel MM"],"additional_accession":[]},"is_claimable":false,"name":"DiMA: sequence diversity dynamics analyser for viruses.","description":"Sequence diversity is one of the major challenges in the design of diagnostic, prophylactic, and therapeutic interventions against viruses. DiMA is a novel tool that is big data-ready and designed to facilitate the dissection of sequence diversity dynamics for viruses. DiMA stands out from other diversity analysis tools by offering various unique features. DiMA provides a quantitative overview of sequence (DNA/RNA/protein) diversity by use of Shannon's entropy corrected for size bias, applied via a user-defined k-mer sliding window to an input alignment file, and each k-mer position is dissected to various diversity motifs. The motifs are defined based on the probability of distinct sequences at a given k-mer alignment position, whereby an index is the predominant sequence, while all the o","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Nov","modification":"2026-06-01T07:39:19Z","creation":"2025-04-21T21:42:40.182Z"},"accession":"S-EPMC11596295","cross_references":{"pubmed":["39592151"],"doi":["10.1093/bib/bbae607"]}}