Assessing Performance of Orthology Detection Strategies Applied to Eukaryotic Genomes

Open Access

Peer-reviewed

Research Article

Feng Chen,

Affiliations Department of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America, Genomics Institute, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
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Aaron J. Mackey,

Current address: Informatics, GlaxoSmithKline, Collegeville, Pennsylvania, United States of America

Affiliations Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America, Genomics Institute, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
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Jeroen K. Vermunt,

Affiliation Department of Methodology and Statistics, Tilburg University, The Netherlands
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David S. Roos

*To whom correspondence should be addressed. E-mail: droos@sas.upenn.edu

Affiliations Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America, Genomics Institute, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
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Reader Comments

This approach is a great example of how we can utilize LCA to assess consistency among different types of orthology predictions.

Protein domains
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BLAST algorithm
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Phylogenetics
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Genomics
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Phylogenetic analysis
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Eukaryota
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Genome analysis
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Functional genomics
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