OMA orthology in 2024: improved prokaryote coverage, ancestral and extant GO enrichment, a revamped synteny viewer and more in the OMA Ecosystem

Author:

Altenhoff Adrian M12ORCID,Warwick Vesztrocy Alex13ORCID,Bernard Charles13ORCID,Train Clement-Marie3,Nicheperovich Alina3ORCID,Prieto Baños Silvia13ORCID,Julca Irene13ORCID,Moi David13ORCID,Nevers Yannis13ORCID,Majidian Sina13ORCID,Dessimoz Christophe13ORCID,Glover Natasha M13ORCID

Affiliation:

1. SIB Swiss Institute of Bioinformatics , 1015 Lausanne , Switzerland

2. ETH Zurich, Computer Science, Universitätstr. 6 , 8092 Zurich , Switzerland

3. Department of Computational Biology, University of Lausanne , 1015 Lausanne , Switzerland

Abstract

Abstract In this update paper, we present the latest developments in the OMA browser knowledgebase, which aims to provide high-quality orthology inferences and facilitate the study of gene families, genomes and their evolution. First, we discuss the addition of new species in the database, particularly an expanded representation of prokaryotic species. The OMA browser now offers Ancestral Genome pages and an Ancestral Gene Order viewer, allowing users to explore the evolutionary history and gene content of ancestral genomes. We also introduce a revamped Local Synteny Viewer to compare genomic neighborhoods across both extant and ancestral genomes. Hierarchical Orthologous Groups (HOGs) are now annotated with Gene Ontology annotations, and users can easily perform extant or ancestral GO enrichments. Finally, we recap new tools in the OMA Ecosystem, including OMAmer for proteome mapping, OMArk for proteome quality assessment, OMAMO for model organism selection and Read2Tree for phylogenetic species tree construction from reads. These new features provide exciting opportunities for orthology analysis and comparative genomics. OMA is accessible at https://omabrowser.org.

Funder

Swiss Institute of Bioinformatics

Swiss National Science Foundation

Publisher

Oxford University Press (OUP)

Subject

Genetics

Reference39 articles.

1. Distinguishing homologous from analogous proteins;Fitch;Syst. Zool.,1970

2. Advances and applications in the quest for orthologs;Glover;Mol. Biol. Evol.,2019

3. OMA, A comprehensive, automated project for the identification of orthologs from complete genome data: introduction and first achievements;Dessimoz,2005

4. OMA 2011: orthology inference among 1000 complete genomes;Altenhoff;Nucleic Acids Res.,2011

5. The OMA orthology database in 2015: function predictions, better plant support, synteny view and other improvements;Altenhoff;Nucleic Acids Res.,2015

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3