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OrthoDB (https://www.orthodb.org) offers evolutionary and functional annotations of orthologous genes in the widest sampling of eukaryotes, prokaryotes, and viruses, extending experimental gene function knowledge to newly sequenced genomes. We collect gene annotations, delineate hierarchical gene orthology and annotate the orthologous groups (OGs) with functional and evolutionary traits. OrthoDB is the leading resource for species diversity, striving to sample the most diverse and well-researched organisms with the highest quality genomic data. This update expands to include 5827 eukaryotic genomes. We have also added coding DNA sequences (CDSs) and gene loci coordinates. OrthoDB can be browsed, downloaded, or accessed using REST API, SPARQL/RDF and now also via API packages for Python and R Bioconductor. OrthoLoger (https://orthologer.ezlab.org), the tool used for inferring orthologs in OrthoDB, is now available as a Conda package and through BioContainers. ODB-mapper, a component of OrthoLoger, streamlines annotation of genes from newly sequenced genomes with OrthoDB evolutionary and functional descriptors. The benchmarking sets of universal single-copy orthologs (BUSCO), derived from OrthoDB, had correspondingly a major update. The BUSCO tool (https://busco.ezlab.org) has become a standard in genomics, uniquely capable of assessing both eukaryotic and prokaryotic species. It is applicable to gene sets, transcriptomes, genome assemblies and metagenomic bins.
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http://dx.doi.org/10.1093/nar/gkae987 | DOI Listing |
Comput Struct Biotechnol J
December 2024
Kazusa DNA Research Institute, Kazusa-Kamatari, 2-6-7, Kisarazu, Chiba 292-0818, Japan.
Hayai-Annotation, an annotation tool powered by the R-shinydashboard browser interface, implements a workflow that integrates sequence alignment using DIAMOND against UniProtKB Plants and ortholog inference using OrthoLoger. We here propose a pipeline to explore genome evolution and adaptation from a different perspective, by creating a network considering orthologs and gene ontology as nodes, with edges based on the annotation for each gene. This approach aims to improve the visualization of conserved biological processes and functions, highlight species-specific adaptations, and enhance the ability to infer the functions of uncharacterized genes by comparing edge patterns across species.
View Article and Find Full Text PDFNucleic Acids Res
January 2025
Department of Genetic Medicine and Development, University of Geneva Medical School, rue Michel-Servet 1, 1211 Geneva, Switzerland, and Swiss Institute of Bioinformatics, rue Michel-Servet 1, 1211 Geneva, Switzerland.
OrthoDB (https://www.orthodb.org) offers evolutionary and functional annotations of orthologous genes in the widest sampling of eukaryotes, prokaryotes, and viruses, extending experimental gene function knowledge to newly sequenced genomes.
View Article and Find Full Text PDFSci Data
September 2024
Laboratory of Insect Behavior and Evolutionary Ecology, College of Life Sciences, Central South University of Forestry and Technology, Changsha, China.
Dryocosmus kuriphilus, commonly known as the chestnut gall wasp, belongs to the family Cynipidae and is native to China. It is a highly invasive insect species causing serious damage to chestnut trees and has rapidly spread to various continents, including Europe, North America, and Oceania. The D.
View Article and Find Full Text PDFMethods Mol Biol
May 2024
Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, SP, Brazil.
The identification of orthologous genes is relevant for comparative genomics, phylogenetic analysis, and functional annotation. There are many computational tools for the prediction of orthologous groups as well as web-based resources that offer orthology datasets for download and online analysis. This chapter presents a simple and practical guide to the process of orthologous group prediction, using a dataset of 10 prokaryotic proteomes as example.
View Article and Find Full Text PDFG3 (Bethesda)
May 2024
Institut de Systématique Evolution Biodiversité, Muséum national d'Histoire naturelle CNRS SU EPHE UA, CP 51, 75005 Paris, France.