2011
DOI: 10.1002/bies.201100062
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Orthology prediction methods: A quality assessment using curated protein families

Abstract: The increasing number of sequenced genomes has prompted the development of several automated orthology prediction methods. Tests to evaluate the accuracy of predictions and to explore biases caused by biological and technical factors are therefore required. We used 70 manually curated families to analyze the performance of five public methods in Metazoa. We analyzed the strengths and weaknesses of the methods and quantified the impact of biological and technical challenges. From the latter part of the analysis… Show more

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Cited by 128 publications
(176 citation statements)
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“…Although OrthoMCL performs reasonably well to predict OGs in different benchmark studies (25,26), it also has some drawbacks that can lead to misinterpretation of the data (27). In addition, the outcome might be susceptible to the choice of the inflation parameter, which controls the size of the OGs.…”
Section: Resultsmentioning
confidence: 99%
“…Although OrthoMCL performs reasonably well to predict OGs in different benchmark studies (25,26), it also has some drawbacks that can lead to misinterpretation of the data (27). In addition, the outcome might be susceptible to the choice of the inflation parameter, which controls the size of the OGs.…”
Section: Resultsmentioning
confidence: 99%
“…Given this, the next step should be to accurately estimate orthology and paralogy relationships of all of the genes that experienced WGD. For the analysis of gene orthology and paralogy, a homology search-or synteny-based approach has usually been used (9). In addition to the homology search-based approach (e.g., COGs and OrthoDB), a phylogenetic tree-based approach has also been introduced (e.g., Ensembl and PhylomeDB) (9).…”
mentioning
confidence: 99%
“…For the analysis of gene orthology and paralogy, a homology search-or synteny-based approach has usually been used (9). In addition to the homology search-based approach (e.g., COGs and OrthoDB), a phylogenetic tree-based approach has also been introduced (e.g., Ensembl and PhylomeDB) (9). Recent developments of tree search algorithms and increased computing power allow a sophisticated tree-based approach, comparing each gene tree with the species tree.…”
mentioning
confidence: 99%
“…With the fast-paced, and still accelerating, accumulation of genome sequences in the databases, automated approaches for genome analysis are essential to keep up with the data and provide the foundation for subsequent detailed evolutionary and functional studies. A well-established approach in comparative genomics involves construction of clusters of orthologous genes from large sets of diverse organisms (18)(19)(20). Computational methods have been developed to delineate clusters of likely orthologs from diverse organisms, and several collections of ortholog clusters have been constructed and have become indispensable tools for genome annotation and phylogenomics (21)(22)(23).…”
mentioning
confidence: 99%