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Xenbase: key features and resources of the Xenopus model organism knowledgebase.

Authors :
Fisher, Malcolm
James-Zorn, Christina
Ponferrada, Virgilio
Bell, Andrew J.
Sundararaj, Nivitha
Segerdell, Erik
Chaturvedi, Praneet
Bayyari, Nadia
Chu, Stanley
Pells, Troy
Lotay, Vaneet
Agalakov, Sergei
Wang, Dong Zhuo
Arshinoff, Bradley I.
Foley, Saoirse
Karimi, Kamran
Vize, Peter D.
Zorn, Aaron M.
Source :
Genetics. May2023, Vol. 224 Issue 1, p1-13. 13p.
Publication Year :
2023

Abstract

Xenbase (https://www.xenbase.org/), the Xenopus model organism knowledgebase, is a web-accessible resource that integrates the diverse genomic and biological data from research on the laboratory frogs Xenopus laevis and Xenopus tropicalis. The goal of Xenbase is to accelerate discovery and empower Xenopus research, to enhance the impact of Xenopus research data, and to facilitate the dissemination of these data. Xenbase also enhances the value of Xenopus data through high-quality curation, data integration, providing bioinformatics tools optimized for Xenopus experiments, and linking Xenopus data to human data, and other model organisms. Xenbase also plays an indispensable role in making Xenopus data interoperable and accessible to the broader biomedical community in accordance with FAIR principles. Xenbase provides annotated data updates to organizations such as NCBI, UniProtKB, Ensembl, the Gene Ontology consortium, and most recently, the Alliance of Genomic Resources, a common clearing house for data from humans and model organisms. This article provides a brief overview of key and recently added features of Xenbase. New features include processing of Xenopus high-throughput sequencing data from the NCBI Gene Expression Omnibus; curation of anatomical, physiological, and expression phenotypes with the newly created Xenopus Phenotype Ontology; Xenopus Gene Ontology annotations; new anatomical drawings of the Normal Table of Xenopus development; and integration of the latest Xenopus laevis v10.1 genome annotations. Finally, we highlight areas for future development at Xenbase as we continue to support the Xenopus research community. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00166731
Volume :
224
Issue :
1
Database :
Academic Search Index
Journal :
Genetics
Publication Type :
Academic Journal
Accession number :
163632669
Full Text :
https://doi.org/10.1093/genetics/iyad018