TY - JOUR
T1 - MODEM
T2 - Multi-omics data envelopment and mining in maize
AU - Liu, Haijun
AU - Wang, Fan
AU - Xiao, Yingjie
AU - Tian, Zonglin
AU - Wen, Weiwei
AU - Zhang, Xuehai
AU - Chen, Xi
AU - Liu, Nannan
AU - Li, Wenqiang
AU - Liu, Lei
AU - Liu, Jie
AU - Yan, Jianbing
AU - Liu, Jianxiao
N1 - Publisher Copyright:
© The Author(s) 2016. Published by Oxford University Press.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - MODEM is a comprehensive database of maize multidimensional omics data, including genomic, transcriptomic, metabolic and phenotypic information from the cellular to individual plant level. This initial release contains approximately 1.06 M high quality SNPs for 508 diverse inbred lines obtained by combining variations from RNA sequencing on whole kernels (15 days after pollination) of 368 lines and a 50 K array for all 508 individuals. As all of these data were derived from the same diverse panel of lines, the database also allows various types of genetic mapping (including characterization of phenotypic QTLs, pQTLs; expression QTLs, eQTLs and metabolic QTLs, mQTLs). MODEM is thus designed to promote a better understanding of maize genetic architecture and deep functional annotation of the complex maize genome (and potentially those of other crop plants) and to explore the genotype-phenotype relationships and regulation of maize kernel development at multiple scales, which is also comprehensive for developing novel methods. MODEM is additionally designed to link with other databases to make full use of current resources, and it provides visualization tools for easy browsing. All of the original data and the related mapping results are freely available for easy query and download. This platform also provides helpful tools for general analyses and will be continually updated with additional materials, features and public data related to maize genetics or regulation as they become available.
AB - MODEM is a comprehensive database of maize multidimensional omics data, including genomic, transcriptomic, metabolic and phenotypic information from the cellular to individual plant level. This initial release contains approximately 1.06 M high quality SNPs for 508 diverse inbred lines obtained by combining variations from RNA sequencing on whole kernels (15 days after pollination) of 368 lines and a 50 K array for all 508 individuals. As all of these data were derived from the same diverse panel of lines, the database also allows various types of genetic mapping (including characterization of phenotypic QTLs, pQTLs; expression QTLs, eQTLs and metabolic QTLs, mQTLs). MODEM is thus designed to promote a better understanding of maize genetic architecture and deep functional annotation of the complex maize genome (and potentially those of other crop plants) and to explore the genotype-phenotype relationships and regulation of maize kernel development at multiple scales, which is also comprehensive for developing novel methods. MODEM is additionally designed to link with other databases to make full use of current resources, and it provides visualization tools for easy browsing. All of the original data and the related mapping results are freely available for easy query and download. This platform also provides helpful tools for general analyses and will be continually updated with additional materials, features and public data related to maize genetics or regulation as they become available.
UR - https://www.scopus.com/pages/publications/85029315763
U2 - 10.1093/database/baw117
DO - 10.1093/database/baw117
M3 - Article
C2 - 27504011
AN - SCOPUS:85029315763
SN - 1758-0463
VL - 2016
JO - Database : the journal of biological databases and curation
JF - Database : the journal of biological databases and curation
M1 - baw117
ER -