期刊
NUCLEIC ACIDS RESEARCH
卷 47, 期 D1, 页码 D1137-D1145出版社
OXFORD UNIV PRESS
DOI: 10.1093/nar/gky1000
关键词
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资金
- USDA National Institute of Food and Agriculture Specialty Crop Research Initiative [2014-51181-2237, 2014-51181-22378]
- USDA National Institute of Food and Agriculture National Research Support Project [10]
- NSF PGRP award [444573]
- NSF CIF21 DIBBs award [1443040]
- Washington Tree Fruit Research Commission, Washington State University
- Clemson University
- Federal Grant
- USDA NIFA SCRI Grant
- Direct For Computer & Info Scie & Enginr
- Office of Advanced Cyberinfrastructure (OAC) [1443040] Funding Source: National Science Foundation
The Genome Database for Rosaceae (GDR, https://www.rosaceae.org) is an integrated web-based community database resource providing access to publicly available genomics, genetics and breeding data and data-mining tools to facilitate basic, translational and applied research in Rosaceae. The volume of data in GDR has increased greatly over the last 5years. The GDR now houses multiple versions of whole genome assembly and annotation data from 14 species, made available by recent advances in sequencing technology. Annotated and searchable reference transcriptomes, RefTrans, combining peer-reviewed published RNA-Seq as well as EST datasets, are newly available for major crop species. Significantly more quantitative trait loci, genetic maps and markers are available in MapViewer, a new visualization tool that better integrates with other pages in GDR. Pathways can be accessed through the new GDR Cyc Pathways databases, and synteny among the newest genome assemblies from eight species can be viewed through the new synteny browser, SynView. Collated single-nucleotide polymorphism diversity data and phenotypic data from publicly available breeding datasets are integrated with other relevant data. Also, the new Breeding Information Management System allows breeders to upload, manage and analyze their private breeding data within the secure GDR server with an option to release data publicly.
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