MetaPhors

MetaPhOrs predicts orthology and paralogy relationships among genes across diverse species by synthesizing phylogenetic trees from multiple public repositories to produce genomic-scale evolutionary inferences.


Key Features:

  • Extensive Database: Houses over 117 million unique homologs inferred from approximately 8.2 million Maximum Likelihood phylogenetic trees across roughly 4,000 species.
  • Integration of Multiple Sources: Aggregates data from 13 different source repositories, combining independent phylogenetic information to enhance prediction breadth.
  • Consistency Score and Evidence Level: Assigns a Consistency Score and an Evidence Level for each prediction, reflecting confidence based on the number of supporting trees and their consistency across sources.

Scientific Applications:

  • Comparative Genomics: Enables comparative genomic analyses by providing predictions of gene relationships to explore evolutionary histories and functional genomics.
  • Functional Annotation: Aids functional annotation by using orthologous and paralogous relationships to predict functions of uncharacterized genes from known homologs.

Methodology:

MetaPhOrs employs a phylogeny-based predictive algorithm that synthesizes information from multiple independent phylogenetic trees, including approximately 8.2 million Maximum Likelihood trees, and aligns predictions with the original definitions of orthology and paralogy.

Topics

Collections

Details

License:
Other
Maturity:
Mature
Cost:
Free of charge
Tool Type:
api, web application
Operating Systems:
Linux, Windows, Mac
Added:
5/22/2018
Last Updated:
5/25/2022

Operations

Publications

Pryszcz LP, Huerta-Cepas J, Gabaldón T. MetaPhOrs: orthology and paralogy predictions from multiple phylogenetic evidence using a consistency-based confidence score. Nucleic Acids Research. 2010;39(5):e32-e32. doi:10.1093/nar/gkq953. PMID:21149260. PMCID:PMC3061081.

Chorostecki U, Molina M, Pryszcz LP, Gabaldón T. MetaPhOrs 2.0: integrative, phylogeny-based inference of orthology and paralogy across the tree of life. Nucleic Acids Research. 2020;48(W1):W553-W557. doi:10.1093/nar/gkaa282. PMID:32343307. PMCID:PMC7319458.

PMID: 32343307
PMCID: PMC7319458
Funding: - H2020 Marie Skłodowska-Curie Actions: H2020-MSCA-IF-2017-793699 - Spanish Ministry of Economy, Industry, and Competitiveness: PGC2018-099921-B-I00 - European Union's Horizon 2020 Research and Innovation Programme: ERC-2016-724173 - INB: PT17/0009/0023 - ISCIII-SGEFI/ERDF

Downloads

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