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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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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. |
format | Online Article Text |
id | pubmed-7145604 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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