TY - CHAP
T1 - Plant Omics Data Center and CATchUP: web databases for effective gene mining utilizing public RNA-Seq-based transcriptome data
AU - Shenton, Matt
AU - Kudo, Toru
AU - Kobayashi, Masaaki
AU - Nakamura, Yukino
AU - Ohyanagi, Hajime
AU - Yano, Kentaro
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2019/12/13
Y1 - 2019/12/13
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/662191
UR - https://onlinelibrary.wiley.com/doi/abs/10.1002/9781119409144.ch148
U2 - 10.1002/9781119409144.ch148
DO - 10.1002/9781119409144.ch148
M3 - Chapter
SN - 9781119409168
SP - 1137
EP - 1146
BT - The Model Legume Medicago truncatula
PB - Wiley
ER -