2013
DOI: 10.1093/nar/gkt1253
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eggNOG v4.0: nested orthology inference across 3686 organisms

Abstract: With the increasing availability of various ‘omics data, high-quality orthology assignment is crucial for evolutionary and functional genomics studies. We here present the fourth version of the eggNOG database (available at http://eggnog.embl.de) that derives nonsupervised orthologous groups (NOGs) from complete genomes, and then applies a comprehensive characterization and analysis pipeline to the resulting gene families. Compared with the previous version, we have more than tripled the underlying species set… Show more

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Cited by 559 publications
(447 citation statements)
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“…To get an overview of the changed functions in the four-species biofilm, the 141 responding genes were annotated to eggNOG functional groups and Figure 2b illustrates the distributions within the categories (Supplementary Table S3; Powell et al, 2014). Of the 12 genes annotated to 'Amino Acid Metabolism and Transport', two were specifically involved in branched-chain amino acid synthesis and two were involved in tryptophan synthesis.…”
Section: Resultsmentioning
confidence: 99%
“…To get an overview of the changed functions in the four-species biofilm, the 141 responding genes were annotated to eggNOG functional groups and Figure 2b illustrates the distributions within the categories (Supplementary Table S3; Powell et al, 2014). Of the 12 genes annotated to 'Amino Acid Metabolism and Transport', two were specifically involved in branched-chain amino acid synthesis and two were involved in tryptophan synthesis.…”
Section: Resultsmentioning
confidence: 99%
“…Residue Co-Evolution-For each human protein as the reference, the multiple sequence alignment (MSA) across ϳ50 vertebrates were obtained from the "align" data set of the vertebrates nonsupervised orthologous groups in the eggNOG v4.0 database (31). When multiple paralogs from one species were available, only the one with the smallest editing distance to the human homolog was included in MSA.…”
Section: Methodsmentioning
confidence: 99%
“…We used the permutation multivariate analysis of variance test (function adonis; Oksanen et al, 2013) to test if regions explain abundance variation. Using sequence similarity to non-core genes (BLASTp), we identified the categories of Clusters of Orthologous Groups of proteins (COGs) from cyanobacterial eggNOG database (Powell et al, 2014). We measured the association between sampling regions and either COG categories using a point biserial correlation coefficient (r.g.)…”
Section: Phylogenetic Analysismentioning
confidence: 99%