A pan-genomic approach to genome databases using maize as a model system.

Tytuł:: A pan-genomic approach to genome databases using maize as a model system.
Autorzy:: Woodhouse MR; Corn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, 50011, USA. .
Cannon EK; Corn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, 50011, USA.
Portwood JL 2nd; Corn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, 50011, USA.
Harper LC; Corn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, 50011, USA.
Gardiner JM; Division of Animal Sciences, University of Missouri, 65211, Columbia, MO, USA.
Schaeffer ML; Division of Plant Sciences, University of Missouri, 65211, Columbia, MO, USA.
Andorf CM; Corn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, 50011, USA.; Department of Computer Science, Iowa State University, Ames, IA, 50011, USA.
Źródło:: BMC plant biology [BMC Plant Biol] 2021 Aug 20; Vol. 21 (1), pp. 385. Date of Electronic Publication: 2021 Aug 20.
Typ publikacji:: Journal Article
Język:: English
Imprint Name(s):: Original Publication: London : BioMed Central, [2001-
MeSH Terms:: Data Accuracy*
Databases as Topic*
Genome, Plant*
Genomics*
Data Collection/*methods
Zea mays/*genetics
Genetic Variation
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Grant Information:: 5030-21000-068-00-D Agricultural Research Service (US)
Contributed Indexing:: Keywords: Browsers; Databases; Genomes; Maize; NAM founders; Nomenclature; Pan-genome
Entry Date(s):: Date Created: 20210821 Date Completed: 20210901 Latest Revision: 20210901
Update Code:: 20240104
PubMed Central ID:: PMC8377966
DOI:: 10.1186/s12870-021-03173-5
PMID:: 34416864
: Czasopismo naukowe

Pełny tekst

Research in the past decade has demonstrated that a single reference genome is not representative of a species' diversity. MaizeGDB introduces a pan-genomic approach to hosting genomic data, leveraging the large number of diverse maize genomes and their associated datasets to quickly and efficiently connect genomes, gene models, expression, epigenome, sequence variation, structural variation, transposable elements, and diversity data across genomes so that researchers can easily track the structural and functional differences of a locus and its orthologs across maize. We believe our framework is unique and provides a template for any genomic database poised to host large-scale pan-genomic data.
(© 2021. The Author(s).)

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