InterStoreDB: a generic integration resource for genetic and genomic data

A - Papers appearing in refereed journals

Love, C. G., Andongabo, A. E., Wang, J., Carion, P. W. C., Rawlings, C. J. and King, G. J. 2012. InterStoreDB: a generic integration resource for genetic and genomic data. Journal of Integrative Plant Biology. 54 (5), pp. 345-355.

AuthorsLove, C. G., Andongabo, A. E., Wang, J., Carion, P. W. C., Rawlings, C. J. and King, G. J.
Abstract

Associating phenotypic traits and quantitative trait loci (QTL) to causative regions of the underlying genome is a key goal in agricultural research. InterStoreDB is a suite of integrated databases designed to assist in this process. The individual databases are species independent and generic in design, providing access to curated datasets relating to plant populations, phenotypic traits, genetic maps, marker loci and QTL, with links to functional gene annotation and genomic sequence data. Each component database provides access to associated metadata, including data provenance and parameters used in analyses, thus providing users with information to evaluate the relative worth of any associations identified. The databases include CropStoreDB, for management of population, genetic map, QTL and trait measurement data, SeqStoreDB for sequence-related data and AlignStoreDB, which stores sequence alignment information, and allows navigation between genetic and genomic datasets. Genetic maps are visualized and compared using the CMAP tool, and functional annotation from sequenced genomes is provided via an EnsEMBL-based genome browser. This framework facilitates navigation of the multiple biological domains involved in genetics and genomics research in a transparent manner within a single portal. We demonstrate the value of InterStoreDB as a tool for Brassica research. InterStoreDB is available from:

KeywordsBiochemistry; Plant Sciences; Molecular biology
Year of Publication2012
JournalJournal of Integrative Plant Biology
Journal citation54 (5), pp. 345-355
Digital Object Identifier (DOI)doi:10.1111/j.1744-7909.2012.01120.x
PubMed ID22494395
Open accessPublished as non-open access
FunderBiotechnology and Biological Sciences Research Council
DEFRA - Department for Environment, Food and Rural Affairs UK
Funder project or codeCentre for Mathematical and Computational Biology (MCB)
PublisherWiley
Grant IDBB/E017797/1
BB/E006884
AR0703
IF0125
IF0144
ISSN1672-9072

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