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
{"title":"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。","authors":"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","doi":"10.1007/s00335-023-10014-3","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":18259,"journal":{"name":"Mammalian Genome","volume":" ","pages":"509-519"},"PeriodicalIF":2.7000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627943/pdf/","citationCount":"0","resultStr":"{\"title\":\"Mouse phenome database: curated data repository with interactive multi-population and multi-trait analyses.\",\"authors\":\"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\",\"doi\":\"10.1007/s00335-023-10014-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":18259,\"journal\":{\"name\":\"Mammalian Genome\",\"volume\":\" \",\"pages\":\"509-519\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2023-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627943/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mammalian Genome\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1007/s00335-023-10014-3\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/8/15 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mammalian Genome","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s00335-023-10014-3","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/8/15 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Mouse phenome database: curated data repository with interactive multi-population and multi-trait analyses.
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.
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.