biostudies-literatureUnknown26(1)Tharanga SPerdana University, MalaysiaUniversity of Doha for Science and Technology, QatarScientific and Technological Research Council of TurkeyBezmialem Vakif University, TurkeySequence 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 oBriefings in bioinformaticsbbae607https://www.ebi.ac.uk/biostudies/studies/S-EPMC11596295biostudies-literatureDiMA: sequence diversity dynamics analyser for viruses.PMC11596295Celik MAMiotto OUnlu ESHu YKhan AMSjaugi MFHekimoglu HTharanga SOncel MMfalseDiMA: sequence diversity dynamics analyser for viruses.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 o2024-01-01T00:00:00Z2024 Nov2026-06-01T07:39:19Z2025-04-21T21:42:40.182ZS-EPMC115962953959215110.1093/bib/bbae607