Towards a deeper haplotype mining of complex traits in rice with RFGB v2.0

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cg.contributor.affiliationChinese Academy of Agricultural Sciences
cg.contributor.affiliationChinese Academy of Sciences
cg.contributor.affiliationNanjing Agricultural University
cg.contributor.affiliationChina Agricultural University
cg.contributor.affiliationBGI Genomics
cg.contributor.affiliationUniversity Shanghai
cg.contributor.affiliationInternational Rice Research Institute
cg.contributor.affiliationUniversity of Chinese Academy of Sciences
cg.identifier.doihttps://doi.org/10.1111/pbi.13215
cg.issn1467-7644
cg.issue1
cg.journalPlant Biotechnology Journal
cg.volume18
dc.contributor.authorWang, Chun-Chao
dc.contributor.authorYu, Hong
dc.contributor.authorHuang, Ji
dc.contributor.authorWang, Wensheng
dc.contributor.authorFaruquee, Muhiuddin
dc.contributor.authorZhang, Fan
dc.contributor.authorZhao, Xiuqin
dc.contributor.authorFu, Binying
dc.contributor.authorChen, Kai
dc.contributor.authorZhang, Hongliang
dc.contributor.authorTai, Shuai-Shuai
dc.contributor.authorWei, Chaochun
dc.contributor.authorMcNally, Kenneth L.
dc.contributor.authorAlexandrov, Nickolai
dc.contributor.authorGao, Xiu-Ying
dc.contributor.authorLi, Jiayang
dc.contributor.authorLi, Zhikang
dc.contributor.authorXu, Jianlong
dc.contributor.authorZheng, Tianqing
dc.date.accessioned2024-12-19T12:54:08Zen
dc.date.available2024-12-19T12:54:08Zen
dc.identifier.urihttps://hdl.handle.net/10568/164642
dc.titleTowards a deeper haplotype mining of complex traits in rice with RFGB v2.0en
dcterms.abstractRice (Oryza sativa L.) not only provides insurance covering global food security but also works as a model for plant research. Currently, with overwhelmingly accumulated sequencing data, various databases were constructed for different target users, including the Genome Variation Map (Song et al., 2018), RiceVarMap (Zhao et al., 2015), SNP-Seek database (Alexandrov et al., 2015), RPAN (Sun et al., 2017) and MBK V1 (Institute of Genetics and Developmental Biology, C.A.S., 2018). However, none of them is designed to meet increasing demands of correlation mining between huge sets of phenotypic and genotypic data of re-sequenced genome. Online tool for deeper mining of favourable allele/haplotypes is in urgent need.en
dcterms.accessRightsOpen Access
dcterms.available2019-08-12
dcterms.bibliographicCitationWang, Chun‐Chao; Yu, Hong; Huang, Ji; Wang, Wen‐Sheng; Faruquee, Muhiuddin; Zhang, Fan; Zhao, Xiu‐Qin; Fu, Bin‐Ying; Chen, Kai; Zhang, Hong‐Liang; Tai, Shuai‐Shuai; Wei, Chaochun; McNally, Kenneth L.; Alexandrov, Nickolai; Gao, Xiu‐Ying; Li, Jiayang; Li, Zhi‐Kang; Xu, Jian‐Long and Zheng, Tian‐Qing. 2020. Towards a deeper haplotype mining of complex traits in rice with RFGB v2.0. Plant Biotechnology Journal, Volume 18 no. 1 p. 14-16en
dcterms.extentpp. 14-16
dcterms.issued2020-01
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherWiley
dcterms.subjectagronomyen
dcterms.subjectcrop scienceen
dcterms.subjectbiotechnologyen
dcterms.subjectplant scienceen
dcterms.typeJournal Article

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