TOMATOMICS: A Web Database for Integrated Omics Information in Tomato
KAUST DepartmentBiological and Environmental Sciences and Engineering (BESE) Division
Computational Bioscience Research Center (CBRC)
Permanent link to this recordhttp://hdl.handle.net/10754/622730
MetadataShow full item record
AbstractSolanum lycopersicum (tomato) is an important agronomic crop and a major model fruit-producing plant. To facilitate basic and applied research, comprehensive experimental resources and omics information on tomato are available following their development. Mutant lines and cDNA clones from a dwarf cultivar, Micro-Tom, are two of these genetic resources. Large-scale sequencing data for ESTs and full-length cDNAs from Micro-Tom continue to be gathered. In conjunction with information on the reference genome sequence of another cultivar, Heinz 1706, the Micro-Tom experimental resources have facilitated comprehensive functional analyses. To enhance the efficiency of acquiring omics information for tomato biology, we have integrated the information on the Micro-Tom experimental resources and the Heinz 1706 genome sequence. We have also inferred gene structure by comparison of sequences between the genome of Heinz 1706 and the transcriptome, which are comprised of Micro-Tom full-length cDNAs and Heinz 1706 RNA-seq data stored in the KaFTom and Sequence Read Archive databases. In order to provide large-scale omics information with streamlined connectivity we have developed and maintain a web database TOMATOMICS (http://bioinf.mind.meiji.ac.jp/tomatomics/). In TOMATOMICS, access to the information on the cDNA clone resources, full-length mRNA sequences, gene structures, expression profiles and functional annotations of genes is available through search functions and the genome browser, which has an intuitive graphical interface.
CitationKudo T, Kobayashi M, Terashima S, Katayama M, Ozaki S, et al. (2017) TOMATOMICS: A Web Database for Integrated Omics Information in Tomato. Plant and Cell Physiology: pcw207. Available: http://dx.doi.org/10.1093/pcp/pcw207.
SponsorsThis work was supported in part by Grants-in-Aid for Scientific Research (No. 24113518 and No. 26113716 to K.Y.) from the Ministry of Education, Culture, Sports, Science, and Technology of Japan (MEXT) and for Scientific Research (B) (No. 16H04873 to Y.K.) from the Japan Society for Promotion of Science (JSPS). Support was also provided by the MEXT-Supported Program for the Strategic Research Foundation at Private Universities (2014–2018), Research Project Grant (A) by Institute of Science and Technology, Meiji University and by Research Funding for the Computational Software Supporting 70 Program from Meiji University to K.Y.
PublisherOxford University Press (OUP)
JournalPlant and Cell Physiology
Except where otherwise noted, this item's license is described as This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.