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The art of curation at a biological database: Principles and application
- Source :
- Current Plant Biology, Vol 11, Iss C, Pp 2-11 (2017)
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- The variety and quantity of data being produced by biological research has grown dramatically in recent years, resulting in an expansion of our understanding of biological systems. However, this abundance of data has brought new challenges, especially in curation. The role of biocurators is in part to filter research outcomes as they are generated, not only so that information is formatted and consolidated into locations that can provide long-term data sustainability, but also to ensure that the relevant data that was captured is reliable, reusable, and accessible. In many ways, biocuration lies somewhere between an art and a science. At GrainGenes ( https://wheat.pw.usda.gov;https://graingenes.org ), a long-time, stably-funded centralized repository for data about wheat, barley, rye, oat, and other small grains, curators have implemented a workflow for locating, parsing, and uploading new data so that the most important, peer-reviewed, high-quality research is available to users as quickly as possible with rich links to past research outcomes. In this report, we illustrate the principles and practical considerations of curation that we follow at GrainGenes with three case studies for curating a gene, a quantitative trait locus (QTL), and genomic elements. These examples demonstrate how our work allows users, i.e., small grains geneticists and breeders, to harness high-quality small grains data at GrainGenes to help them develop plants with enhanced agronomic traits.
- Subjects :
- 0301 basic medicine
Computer science
Genomic data
Biological database
Plant Science
computer.software_genre
Biochemistry
Filter (software)
03 medical and health sciences
Upload
lcsh:Botany
Genetics
Genetic maps
Biological databases
Parsing
Genome browsers
Cell Biology
Data science
lcsh:QK1-989
Variety (cybernetics)
Curation
030104 developmental biology
Workflow
Genetic markers
computer
Developmental Biology
Subjects
Details
- ISSN :
- 22146628
- Database :
- OpenAIRE
- Journal :
- Current Plant Biology
- Accession number :
- edsair.doi.dedup.....940410b0ef02974b27ed987d33d9e32d
- Full Text :
- https://doi.org/10.1016/j.cpb.2017.11.001