ArticlePatterns (New York, N.Y.)2023
CALANGO: A phylogeny-aware comparative genomics tool for discovering quantitative genotype-phenotype associations across species.
Article in Patterns (New York, N.Y.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Molecular and Functional Convergences Associated with Complex Multicellularity in Eukarya.Molecular biology and evolution · 2025Article
- Phylogeny-aware linear B-cell epitope predictor detects targets associated with immune response to orthopoxviruses.Briefings in bioinformatics · 2024Article
- The rise of taxon-specific epitope predictors.Briefings in bioinformatics · 2024Article
- Why are some plants taller? Researchers on the unveiling of genetic variation associated with complex quantitative phenotypes.Patterns (New York, N.Y.) · 2023Article
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Authors and funding
12 authors at 5 institutions in 4 countries.
Funding
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Abstract
Living species vary significantly in phenotype and genomic content. Sophisticated statistical methods linking genes with phenotypes within a species have led to breakthroughs in complex genetic diseases and genetic breeding. Despite the abundance of genomic and phenotypic data available for thousands of species, finding genotype-phenotype associations across species is challenging due to the non-independence of species data resulting from common ancestry. To address this, we present CALANGO (comparative analysis with annotation-based genomic components), a phylogeny-aware comparative genomics tool to find homologous regions and biological roles associated with quantitative phenotypes across species. In two case studies, CALANGO identified both known and previously unidentified genotype-phenotype associations. The first study revealed unknown aspects of the ecological interaction between
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