Mouse phenome database: curated data repository with interactive multi-population and multi-trait analyses.

IF 2.7 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Mammalian Genome Pub Date : 2023-12-01 Epub Date: 2023-08-15 DOI:10.1007/s00335-023-10014-3
Molly A Bogue, Robyn L Ball, David O Walton, Matthew H Dunn, Georgi Kolishovski, Alexander Berger, Anna Lamoureux, Stephen C Grubb, Matthew Gerring, Matthew Kim, Hongping Liang, Jake Emerson, Timothy Stearns, Hao He, Gaurab Mukherjee, John Bluis, Sara Davis, Sejal Desai, Beth Sundberg, Beena Kadakkuzha, Govindarajan Kunde-Ramamoorthy, Vivek M Philip, Elissa J Chesler
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引用次数: 0

Abstract

The Mouse Phenome Database continues to serve as a curated repository and analysis suite for measured attributes of members of diverse mouse populations. The repository includes annotation to community standard ontologies and guidelines, a database of allelic states for 657 mouse strains, a collection of protocols, and analysis tools for flexible, interactive, user directed analyses that increasingly integrates data across traits and populations. The database has grown from its initial focus on a standard set of inbred strains to include heterogeneous mouse populations such as the Diversity Outbred and mapping crosses and well as Collaborative Cross, Hybrid Mouse Diversity Panel, and recombinant inbred strains. Most recently the system has expanded to include data from the International Mouse Phenotyping Consortium. Collectively these data are accessible by API and provided with an interactive tool suite that enables users' persistent selection, storage, and operation on collections of measures. The tool suite allows basic analyses, advanced functions with dynamic visualization including multi-population meta-analysis, multivariate outlier detection, trait pattern matching, correlation analyses and other functions. The data resources and analysis suite provide users a flexible environment in which to explore the basis of phenotypic variation in health and disease across the lifespan.

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老鼠现象数据库:具有交互式多种群和多特征分析的精心策划的数据存储库。
小鼠表型数据库继续作为一个精心策划的存储库和分析套件,用于测量不同小鼠群体成员的属性。该存储库包括对社区标准本体论和指南的注释,657种小鼠品系的等位基因状态数据库,一组协议,以及用于灵活、交互式、用户导向分析的分析工具,这些分析工具越来越多地集成了跨特征和种群的数据。该数据库从最初关注一组标准的近交系发展到包括异质小鼠种群,如多样性爆发和定位杂交,以及合作杂交、杂交小鼠多样性小组和重组近交系。最近,该系统已经扩展到包括来自国际小鼠表型联合会的数据。API可以访问这些数据,并提供交互式工具套件,使用户可以对度量的集合进行持久选择、存储和操作。该工具套件允许基本分析、具有动态可视化的高级功能,包括多群体荟萃分析、多变量异常值检测、特征模式匹配、相关性分析和其他功能。数据资源和分析套件为用户提供了一个灵活的环境,可以在其中探索整个生命周期中健康和疾病表型变异的基础。
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来源期刊
Mammalian Genome
Mammalian Genome 生物-生化与分子生物学
CiteScore
4.00
自引率
0.00%
发文量
33
审稿时长
6-12 weeks
期刊介绍: Mammalian Genome focuses on the experimental, theoretical and technical aspects of genetics, genomics, epigenetics and systems biology in mouse, human and other mammalian species, with an emphasis on the relationship between genotype and phenotype, elucidation of biological and disease pathways as well as experimental aspects of interventions, therapeutics, and precision medicine. The journal aims to publish high quality original papers that present novel findings in all areas of mammalian genetic research as well as review articles on areas of topical interest. The journal will also feature commentaries and editorials to inform readers of breakthrough discoveries as well as issues of research standards, policies and ethics.
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