Document Type

Article

Publication Date

1-8-2021

Keywords

JMG; Animals, COVID-19, Data Curation, Databases, Genetic, Disease Models, Animal, Epidemics, Gene Ontology, Genome, Genomics, Humans, Information Storage and Retrieval, Internet, Knowledge Bases, Mice, SARS-CoV-2

JAX Source

Nucleic Acids Res 2021 Jan 8; 49(D1):D981-D987

PMID

33231642

DOI

https://doi.org/10.1093/nar/gkaa1083

Grant

HG000330; HG007053

Abstract

The Mouse Genome Database (MGD; http://www.informatics.jax.org) is the community model organism knowledgebase for the laboratory mouse, a widely used animal model for comparative studies of the genetic and genomic basis for human health and disease. MGD is the authoritative source for biological reference data related to mouse genes, gene functions, phenotypes and mouse models of human disease. MGD is the primary source for official gene, allele, and mouse strain nomenclature based on the guidelines set by the International Committee on Standardized Nomenclature for Mice. MGD's biocuration scientists curate information from the biomedical literature and from large and small datasets contributed directly by investigators. In this report we describe significant enhancements to the content and interfaces at MGD, including (i) improvements in the Multi Genome Viewer for exploring the genomes of multiple mouse strains, (ii) inclusion of many more mouse strains and new mouse strain pages with extended query options and (iii) integration of extensive data about mouse strain variants. We also describe improvements to the efficiency of literature curation processes and the implementation of an information portal focused on mouse models and genes for the study of COVID-19.

Comments

We thank the members of the MGD Scientific Advisory Board and members of our user community for their feed-back and suggestions on the enhancements and new features of MGD described in this publication. We thank Lucy Benjamin for her attention to formal details for manuscript preparation.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License.

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