ArticleBioinformatics (Oxford, England)2021
Improved inference of tandem domain duplications.
Article in Bioinformatics (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- How to frustrate a plant pathogen.The Plant journal : for cell and molecular biology · 2026Review
- Olfactory gene dynamics in invasive Indian and non-invasive African malaria vectors at the crossroads of development, infection and resistance.Scientific reports · 2025Article
- Lineage-specific gene duplication and expansion of DUF1216 gene family in Brassicaceae.PloS one · 2024Article
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Authors and funding
2 authors.
Funding
Abstract
motivationProtein domain duplications are a major contributor to the functional diversification of protein families. These duplications can occur one at a time through single domain duplications, or as tandem duplications where several consecutive domains are duplicated together as part of a single evolutionary event. Existing methods for inferring domain-level evolutionary events are based on reconciling domain trees with gene trees. While some formulations consider multiple domain duplications, they do not explicitly model tandem duplications; this leads to inaccurate inference of which domains duplicated together over the course of evolution.
resultsHere, we introduce a reconciliation-based framework that considers the relative positions of domains within extant sequences. We use this information to uncover tandem domain duplications within the evolutionary history of these genes. We devise an integer linear programming approach that solves our problem exactly, and a heuristic approach that works well in practice. We perform extensive simulation studies to demonstrate that our approaches can accurately uncover single and tandem domain duplications, and additionally test our approach on a well-studied orthogroup where lineage-specific domain expansions exhibit varying and complex domain duplication patterns. AVAILABILITY AND IMPLEMENTATION: Code is available on github at https://github.com/Singh-Lab/TandemDuplications. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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