Plant Omics Data Center and CATchUP: web databases for effective gene mining utilizing public RNA-Seq-based transcriptome data
Type
Book ChapterDate
2019-12-13Online Publication Date
2019-12-13Print Publication Date
2020-01-13Permanent link to this record
http://hdl.handle.net/10754/662191
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Show full item recordAbstract
Analysis using transcriptome data deposited in public repositories can advance scientific research and crop breeding with minimal extra effort and cost. To provide platforms for quick and easy gene mining from publicly available RNA sequencing (RNA-Seq) data of model and crop plants, we are maintaining two web databases: the Plant Omics Data Center (PODC, http://plantomics.mind.meiji.ac.jp/podc) and CATchUP (http://plantomics.mind.meiji.ac.jp/CATchUP). This chapter presents their functionality, summarizes their stored information and demonstrates a typical workflow using the databases, focusing on Medicago truncatula.Citation
Shenton, M., Kudo, T., Kobayashi, M., Nakamura, Y., Ohyanagi, H., & Yano, K. (2019). Plant Omics Data Center and CATchUP: web databases for effective gene mining utilizing public RNA-Seq-based transcriptome data. The Model Legume Medicago Truncatula, 1137–1146. doi:10.1002/9781119409144.ch148Publisher
WileyAdditional Links
https://onlinelibrary.wiley.com/doi/abs/10.1002/9781119409144.ch148ae974a485f413a2113503eed53cd6c53
10.1002/9781119409144.ch148