ecceTERA
ecceTERA resolves non-binary gene trees by reconciling gene histories with species trees to infer horizontal gene transfers, duplications, and losses.
Key Features:
- Resolution of Non-Binary Gene Trees: It resolves poorly supported branches in gene trees reconstructed from sequence alignments by refining collapsed non-binary nodes.
- Integration with Species Trees: It leverages species-tree information to guide resolution and reconstruction of gene gain and loss events.
- Handling Complex Gene Events: It models horizontal gene transfer alongside gene duplication and loss when reconstructing gene histories.
- Algorithmic Efficiency: It uses an exact parameterized algorithm that resolves non-binary trees in single-exponential time by parameterizing on the number of connected low-support branches or the maximum number of children after collapsing.
- Optimal Solution Guarantee: It guarantees optimal solutions under its reconciliation cost model and reports exponential improvements over previous algorithms in computational time and accuracy.
- Solution Selection Framework: It provides a framework to select among multiple optimal solutions based on available data.
Scientific Applications:
- Comparative Genomics: It supports comparative genomics analyses that require resolved gene histories across species.
- Evolutionary Biology: It enables evolutionary biology studies of gene family evolution involving transfers, duplications, and losses.
- Molecular Evolution: It aids molecular evolution investigations dependent on accurate gene tree topologies.
- Benchmarking and Evaluation: It has been tested on simulated and biological datasets, producing results comparable in quality to other methods while reducing computational time.
Methodology:
Unsupported branches are contracted into non-binary nodes (polytomies) and then resolved by reconciling gene trees with species trees while considering horizontal gene transfers, duplications, and losses using an exact parameterized algorithm that runs in single-exponential time parameterized by the number of connected low-support branches or the maximum number of children after collapsing.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 6/4/2018
- Last Updated:
- 11/25/2024
Operations
Publications
Jacox E, Weller M, Tannier E, Scornavacca C. Resolution and reconciliation of non-binary gene trees with transfers, duplications and losses. Bioinformatics. 2017;33(7):980-987. doi:10.1093/bioinformatics/btw778. PMID:28073758.