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小鼠表型数据库:经过精心整理的数据存储库,具有交互式多群体和多特征分析功能。

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

机构信息

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

University of British Columbia, Vancouver, BC, Canada.

出版信息

Mamm Genome. 2023 Dec;34(4):509-519. doi: 10.1007/s00335-023-10014-3. Epub 2023 Aug 15.

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.

摘要

小鼠表型数据库继续作为一个经过精心整理的存储库和分析套件,用于测量各种小鼠群体成员的特征。该存储库包括对社区标准本体论和指南的注释,657 个小鼠品系的等位基因状态数据库,一套协议,以及用于灵活、交互、用户导向分析的分析工具,这些分析工具越来越多地整合了不同特征和群体的数据。该数据库已经从最初专注于一组标准近交系扩展到包括异质小鼠群体,如多样性远交系和作图杂交系,以及协作交叉、杂交小鼠多样性面板和重组近交系。最近,该系统还扩展到包括来自国际小鼠表型分析联盟的数据。这些数据可通过 API 访问,并提供一个交互式工具套件,使用户能够持久地选择、存储和操作度量集合。该工具套件允许进行基本分析和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、相关分析和其他功能。这些数据资源和分析套件为用户提供了一个灵活的环境,可用于探索健康和疾病表型变异的基础,以及整个生命周期的特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/350c/10627943/5c28eb95c8e1/335_2023_10014_Fig1_HTML.jpg

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