Jennifer R Smith, Marek A Tutaj, Jyothi Thota, Logan Lamers, Adam C Gibson, Akhilanand Kundurthi, Varun Reddy Gollapally, Kent C Brodie, Stacy Zacher, Stanley J F Laulederkind, G Thomas Hayman, Shur-Jen Wang, Monika Tutaj, Mary L Kaldunski, Mahima Vedi, Wendy M Demos, Jeffrey L De Pons, Melinda R Dwinell, Anne E Kwitek
{"title":"Standardized pipelines support and facilitate integration of diverse datasets at the Rat Genome Database.","authors":"Jennifer R Smith, Marek A Tutaj, Jyothi Thota, Logan Lamers, Adam C Gibson, Akhilanand Kundurthi, Varun Reddy Gollapally, Kent C Brodie, Stacy Zacher, Stanley J F Laulederkind, G Thomas Hayman, Shur-Jen Wang, Monika Tutaj, Mary L Kaldunski, Mahima Vedi, Wendy M Demos, Jeffrey L De Pons, Melinda R Dwinell, Anne E Kwitek","doi":"10.1093/database/baae132","DOIUrl":null,"url":null,"abstract":"<p><p>The Rat Genome Database (RGD) is a multispecies knowledgebase which integrates genetic, multiomic, phenotypic, and disease data across 10 mammalian species. To support cross-species, multiomics studies and to enhance and expand on data manually extracted from the biomedical literature by the RGD team of expert curators, RGD imports and integrates data from multiple sources. These include major databases and a substantial number of domain-specific resources, as well as direct submissions by individual researchers. The incorporation of these diverse datatypes is handled by a growing list of automated import, export, data processing, and quality control pipelines. This article outlines the development over time of a standardized infrastructure for automated RGD pipelines with a summary of key design decisions and a focus on lessons learned.</p>","PeriodicalId":10923,"journal":{"name":"Database: The Journal of Biological Databases and Curation","volume":"2025 ","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Database: The Journal of Biological Databases and Curation","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/database/baae132","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICAL & COMPUTATIONAL BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The Rat Genome Database (RGD) is a multispecies knowledgebase which integrates genetic, multiomic, phenotypic, and disease data across 10 mammalian species. To support cross-species, multiomics studies and to enhance and expand on data manually extracted from the biomedical literature by the RGD team of expert curators, RGD imports and integrates data from multiple sources. These include major databases and a substantial number of domain-specific resources, as well as direct submissions by individual researchers. The incorporation of these diverse datatypes is handled by a growing list of automated import, export, data processing, and quality control pipelines. This article outlines the development over time of a standardized infrastructure for automated RGD pipelines with a summary of key design decisions and a focus on lessons learned.
期刊介绍:
Huge volumes of primary data are archived in numerous open-access databases, and with new generation technologies becoming more common in laboratories, large datasets will become even more prevalent. The archiving, curation, analysis and interpretation of all of these data are a challenge. Database development and biocuration are at the forefront of the endeavor to make sense of this mounting deluge of data.
Database: The Journal of Biological Databases and Curation provides an open access platform for the presentation of novel ideas in database research and biocuration, and aims to help strengthen the bridge between database developers, curators, and users.