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Title:
Inferring Orthology and Paralogy | SpringerLink
Description:
The distinction between orthologs and paralogs, genes that started diverging by speciation versus duplication, is relevant in a wide range of contexts, most notably phylogenetic tree inference and protein function annotation. In this chapter, we provide an overview...
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Keywords {🔍}
google, scholar, doi, url, article, gene, bioinformatics, orthology, biol, pubmed, cas, orthologs, methods, molecular, dessimoz, phylogenetic, tree, res, evolutionary, christophe, trees, jan, database, genomics, mol, acids, analysis, chapter, springer, nucleic, genome, bmc, protocol, adrian, inference, groups, david, sep, issuedd, data, search, altenhoff, biology, genes, anisimova, syst, families, michael, evol, privacy,
Topics {✒️}
springer science+business media gane ka-shu wong approximate likelihood-ratio test hybrid micro-macroevolutionary approach maximum-likelihood phylogenetic estimation month download article/chapter high-throughput ortholog prediction large-scale orthology inference comprehensive multi-species collection gene/species tree reconciliation org/cgi/content/full/21/11/2596 ann-charlotte berglund-sonnhammer marc robinson-rechavi jean-franois dufayard privacy choices/manage cookies mirkin-muchnik-smith conjecture lachlan james coin vera van noort arbeitspapiere der gmd jean-karim hrich ann-charlotte berglund tree-based approaches device instant download homology relations based tree pattern matching pairwise species comparisons gene tree reconstruction jean-philippe doyon orthology analysisusing mcmc altenhoff & christophe dessimoz european economic area review typical applications future methodological developments abel ureta-vidal low genetic variability reduced microevolutionary rate jacob de vlieg theorem-proving procedures modeling cellular machinery i-hisen wu anne-muriel arigon anne-sophie sertier author information authors horizontal gene transfer infer gene duplication genome-scale approaches multi-genome repository benchmarking orthology predictions graph-based approaches conditions privacy policy
Questions {❓}
- How confident can we be that orthologs are similar, but paralogs differ?
- Is it better to add taxa or characters to a difficult phylogenetic problem?
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ScholarlyArticle:
headline:Inferring Orthology and Paralogy
pageEnd:279
pageStart:259
image:https://media.springernature.com/w153/springer-static/cover/book/978-1-61779-582-4.jpg
genre:
Springer Protocols
isPartOf:
name:Evolutionary Genomics
isbn:
978-1-61779-582-4
978-1-61779-581-7
type:Book
publisher:
name:Humana Press
logo:
url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
type:ImageObject
type:Organization
author:
name:Adrian M. Altenhoff
affiliation:
name:ETH Zurich
address:
name:Department of Computer Science, ETH Zurich, Zurich, Switzerland
type:PostalAddress
type:Organization
name:Swiss Institute of Bioinformatics
address:
name:Swiss Institute of Bioinformatics, Lausanne, Switzerland
type:PostalAddress
type:Organization
type:Person
name:Christophe Dessimoz
affiliation:
name:ETH Zurich
address:
name:Department of Computer Science, ETH Zurich, Zurich, Switzerland
type:PostalAddress
type:Organization
name:Swiss Institute of Bioinformatics
address:
name:Swiss Institute of Bioinformatics, Lausanne, Switzerland
type:PostalAddress
type:Organization
email:[email protected]
type:Person
keywords:Orthology, Paralogy, Tree reconciliation, Orthology benchmarking
description:The distinction between orthologs and paralogs, genes that started diverging by speciation versus duplication, is relevant in a wide range of contexts, most notably phylogenetic tree inference and protein function annotation. In this chapter, we provide an overview of the methods used to infer orthology and paralogy. We survey both graph-based approaches (and their various grouping strategies) and tree-based approaches, which solve the more general problem of gene/species tree reconciliation. We discuss conceptual differences among the various orthology inference methods and databases, and examine the difficult issue of verifying and benchmarking orthology predictions. Finally, we review typical applications of orthologous genes, groups, and reconciled trees and conclude with thoughts on future methodological developments.
datePublished:2012
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isbn:
978-1-61779-582-4
978-1-61779-581-7
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name:Humana Press
logo:
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name:ETH Zurich
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name:Department of Computer Science, ETH Zurich, Zurich, Switzerland
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name:Swiss Institute of Bioinformatics, Lausanne, Switzerland
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