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小鼠基因组数据库(MGD):小鼠生物学与模型系统

The Mouse Genome Database (MGD): mouse biology and model systems.

作者信息

Bult Carol J, Eppig Janan T, Kadin James A, Richardson Joel E, Blake Judith A

机构信息

The Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609, USA.

出版信息

Nucleic Acids Res. 2008 Jan;36(Database issue):D724-8. doi: 10.1093/nar/gkm961. Epub 2007 Dec 23.

DOI:10.1093/nar/gkm961
PMID:18158299
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2238849/
Abstract

The Mouse Genome Database, (MGD, http://www.informatics.jax.org/), integrates genetic, genomic and phenotypic information about the laboratory mouse, a primary animal model for studying human biology and disease. MGD data content includes comprehensive characterization of genes and their functions, standardized descriptions of mouse phenotypes, extensive integration of DNA and protein sequence data, normalized representation of genome and genome variant information including comparative data on mammalian genes. Data within MGD are obtained from diverse sources including manual curation of the biomedical literature, direct contributions from individual investigator's laboratories and major informatics resource centers such as Ensembl, UniProt and NCBI. MGD collaborates with the bioinformatics community on the development of data and semantic standards such as the Gene Ontology (GO) and the Mammalian Phenotype (MP) Ontology. MGD provides a data-mining platform that enables the development of translational research hypotheses based on comparative genotype, phenotype and functional analyses. Both web-based querying and computational access to data are provided. Recent improvements in MGD described here include the association of gene trap data with mouse genes and a new batch query capability for customized data access and retrieval.

摘要

小鼠基因组数据库(MGD,http://www.informatics.jax.org/)整合了有关实验小鼠的遗传、基因组和表型信息,实验小鼠是研究人类生物学和疾病的主要动物模型。MGD的数据内容包括基因及其功能的全面表征、小鼠表型的标准化描述、DNA和蛋白质序列数据的广泛整合、基因组和基因组变异信息的标准化表示,包括哺乳动物基因的比较数据。MGD中的数据来自多种来源,包括对生物医学文献的人工整理、个别研究人员实验室的直接贡献以及主要的信息学资源中心,如Ensembl、UniProt和NCBI。MGD与生物信息学社区合作,共同开发数据和语义标准,如基因本体论(GO)和哺乳动物表型(MP)本体论。MGD提供了一个数据挖掘平台,能够基于比较基因型、表型和功能分析来提出转化研究假设。它既提供基于网络的查询,也提供对数据的计算访问。这里描述的MGD的最新改进包括基因陷阱数据与小鼠基因的关联以及用于定制数据访问和检索的新的批量查询功能。

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