Domainoid
Domainoid infers orthology at the protein-domain level to identify evolutionary relationships and discordant domain histories that full-length sequence methods can miss.
Key Features:
- Domain-level orthology inference: Infers orthologous relationships for individual protein domains rather than full-length proteins to detect discordant domain histories.
- Adaptation of the InParanoid algorithm: Applies the InParanoid algorithm to individual domains to identify and group orthologous domains across species.
- Protein-level orthology aggregation: Infers protein-level orthology by aggregating domain-level results based on the proportion of domains that are orthologous.
- Benchmark validation: Domain-based assignments have been validated against conventional full-length sequence approaches such as InParanoid using standard benchmarks.
Scientific Applications:
- Functional genomics: Provides domain-resolved evolutionary histories to interpret functional implications of domain architecture variations.
- Evolutionary biology: Detects discordant domain orthologs to study protein evolution driven by recombination and other genetic events.
- Comparative genomics: Enables comparison of domain architectures across species to assess evolutionary conservation and divergence at the domain level.
Methodology:
Protein sequences are dissected into constituent domains and the InParanoid algorithm is applied independently to each domain; protein-level orthology is inferred by aggregating domain-level orthology according to the proportion of orthologous domains.
Topics
Details
- Tool Type:
- command-line tool
- Programming Languages:
- Python
- Added:
- 1/9/2020
- Last Updated:
- 12/22/2020
Operations
Publications
Persson E, Kaduk M, Forslund SK, Sonnhammer ELL. Domainoid: domain-oriented orthology inference. BMC Bioinformatics. 2019;20(1). doi:10.1186/s12859-019-3137-2. PMID:31660857. PMCID:PMC6816169.