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MBKbase for rice: an integrated omics knowledgebase for molecular breeding in rice

To date, large amounts of genomic and phenotypic data have been accumulated in the fields of crop genetics and genomic research, and the data are increasing very quickly. However, the bottleneck to using big data in breeding is integrating the data and developing tools for revealing the relationship...

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Autores principales: Peng, Hua, Wang, Kai, Chen, Zhuo, Cao, Yinghao, Gao, Qiang, Li, Yan, Li, Xiuxiu, Lu, Hongwei, Du, Huilong, Lu, Min, Yang, Xin, Liang, Chengzhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145604/
https://www.ncbi.nlm.nih.gov/pubmed/31624841
http://dx.doi.org/10.1093/nar/gkz921
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author Peng, Hua
Wang, Kai
Chen, Zhuo
Cao, Yinghao
Gao, Qiang
Li, Yan
Li, Xiuxiu
Lu, Hongwei
Du, Huilong
Lu, Min
Yang, Xin
Liang, Chengzhi
author_facet Peng, Hua
Wang, Kai
Chen, Zhuo
Cao, Yinghao
Gao, Qiang
Li, Yan
Li, Xiuxiu
Lu, Hongwei
Du, Huilong
Lu, Min
Yang, Xin
Liang, Chengzhi
author_sort Peng, Hua
collection PubMed
description To date, large amounts of genomic and phenotypic data have been accumulated in the fields of crop genetics and genomic research, and the data are increasing very quickly. However, the bottleneck to using big data in breeding is integrating the data and developing tools for revealing the relationship between genotypes and phenotypes. Here, we report a rice sub-database of an integrated omics knowledgebase (MBKbase-rice, www.mbkbase.org/rice), which integrates rice germplasm information, multiple reference genomes with a united set of gene loci, population sequencing data, phenotypic data, known alleles and gene expression data. In addition to basic data search functions, MBKbase provides advanced web tools for genotype searches at the population level and for visually displaying the relationship between genotypes and phenotypes. Furthermore, the database also provides online tools for comparing two samples by their genotypes and finding target germplasms by genotype or phenotype information, as well as for analyzing the user submitted SNP or sequence data to find important alleles in the germplasm. A soybean sub-database is planned for release in 3 months and wheat and maize will be added in 1–2 years. The data and tools integrated in MBKbase will facilitate research in crop functional genomics and molecular breeding.
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spelling pubmed-71456042020-04-13 MBKbase for rice: an integrated omics knowledgebase for molecular breeding in rice Peng, Hua Wang, Kai Chen, Zhuo Cao, Yinghao Gao, Qiang Li, Yan Li, Xiuxiu Lu, Hongwei Du, Huilong Lu, Min Yang, Xin Liang, Chengzhi Nucleic Acids Res Database Issue To date, large amounts of genomic and phenotypic data have been accumulated in the fields of crop genetics and genomic research, and the data are increasing very quickly. However, the bottleneck to using big data in breeding is integrating the data and developing tools for revealing the relationship between genotypes and phenotypes. Here, we report a rice sub-database of an integrated omics knowledgebase (MBKbase-rice, www.mbkbase.org/rice), which integrates rice germplasm information, multiple reference genomes with a united set of gene loci, population sequencing data, phenotypic data, known alleles and gene expression data. In addition to basic data search functions, MBKbase provides advanced web tools for genotype searches at the population level and for visually displaying the relationship between genotypes and phenotypes. Furthermore, the database also provides online tools for comparing two samples by their genotypes and finding target germplasms by genotype or phenotype information, as well as for analyzing the user submitted SNP or sequence data to find important alleles in the germplasm. A soybean sub-database is planned for release in 3 months and wheat and maize will be added in 1–2 years. The data and tools integrated in MBKbase will facilitate research in crop functional genomics and molecular breeding. Oxford University Press 2020-01-08 2019-10-18 /pmc/articles/PMC7145604/ /pubmed/31624841 http://dx.doi.org/10.1093/nar/gkz921 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Peng, Hua
Wang, Kai
Chen, Zhuo
Cao, Yinghao
Gao, Qiang
Li, Yan
Li, Xiuxiu
Lu, Hongwei
Du, Huilong
Lu, Min
Yang, Xin
Liang, Chengzhi
MBKbase for rice: an integrated omics knowledgebase for molecular breeding in rice
title MBKbase for rice: an integrated omics knowledgebase for molecular breeding in rice
title_full MBKbase for rice: an integrated omics knowledgebase for molecular breeding in rice
title_fullStr MBKbase for rice: an integrated omics knowledgebase for molecular breeding in rice
title_full_unstemmed MBKbase for rice: an integrated omics knowledgebase for molecular breeding in rice
title_short MBKbase for rice: an integrated omics knowledgebase for molecular breeding in rice
title_sort mbkbase for rice: an integrated omics knowledgebase for molecular breeding in rice
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145604/
https://www.ncbi.nlm.nih.gov/pubmed/31624841
http://dx.doi.org/10.1093/nar/gkz921
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