OrthoDB v11: annotation of orthologs in the widest sampling of organismal diversity
OrthoDB v11: аннотирование ортологов при наиболее широком охвате разнообразия организмов
2022-10-26
SCID: 54.1/9krw8qze
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LEMMI benchmarkingOrthoDB v11OrthoLoger softwarecomparative genomicsorthology annotation
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Abstract (AI)
OrthoDB provides evolutionary and functional annotations of genes in a diverse sampling of eukaryotes, prokaryotes, and viruses. Genomics continues to accelerate our exploration of gene diversity and orthology is the most precise way of bridging gene functional knowledge with the rapidly expanding universe of genomic sequences. OrthoDB samples the most diverse organisms with the best quality genomics data to provide the leading coverage of species diversity. This update of the underlying data to over 18 000 prokaryotes and almost 2000 eukaryotes with over 100 million genes propels the coverage to another level. This achievement also demonstrates the scalability of the underlying OrthoLoger software for delineation of orthologs, freely available from https://orthologer.ezlab.org. In addition to the ab-initio computations of gene orthology used for the OrthoDB release, the OrthoLoger software allows mapping of novel gene sets to precomputed orthologs and thereby links to their annotations. The LEMMI-style benchmarking of OrthoLoger ensures its state-of-the-art performance and is available from https://lemortho.ezlab.org. The OrthoDB web interface has been further developed to include a pairwise orthology view from any gene to any other sampled species. OrthoDB-computed evolutionary annotations as well as extensively collated functional annotations can be accessed via REST API or SPARQL/RDF, downloaded or browsed online from https://www.orthodb.org.
Key Findings
1
OrthoDB v11 expands ortholog annotations to over 18,000 prokaryotes and nearly 2,000 eukaryotes, encompassing more than 100 million genes.
2
OrthoLoger can map novel gene sets to precomputed orthologs, linking newly analyzed genes to existing evolutionary and functional annotations.
3
The OrthoDB interface now supports pairwise orthology queries between genes from any sampled species, with data accessible online, for download, and through REST API or SPARQL/RDF.
4
The OrthoLoger software demonstrates scalable, state-of-the-art ortholog delineation performance according to LEMMI-style benchmarking.
5
The expanded dataset provides exceptionally broad organismal coverage for connecting gene functional knowledge with genomic sequences through orthology.
Research Object
OrthoDB v11 gene orthology annotations across diverse eukaryotic, prokaryotic, and viral genomes
Research Subject
The coverage, delineation, evolutionary and functional annotation, and pairwise mapping of orthologs across organismal diversity
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2022-10-26
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