Editorial: Plant and Cell Physiology's 2015 database issue.
Editorial: Plant and Cell Physiology's 2015 database issue.
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社论:植物和细胞生理学 2015 年数据库问题。
DOI:
10.1093/pcp/pcu206
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发表时间:
2015
影响因子:
4.9
通讯作者:
K. Yano
中科院分区:
文献类型:
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作者:
Hajime Ohyanagi;T. Obayashi;K. Yano
We herewith present the 2015 Database Issue of Plant and Cell Physiology (PCP) (available online at http://pcp.oxfordjournals. org/content/56/1.toc). As with past issues (Matsuoka 2011, Obayashi and Yano 2013, Obayashi and Yano 2014), this year we aim to provide a valuable online resource and forum for the discussion of bioinformatics, novel approaches, and online tools to help handle and analyze large biological datasets available for plant research. Databases serve as a useful infrastructure upon which to base scientific advances in wet and dry lab research as well as bioinformatics. Further, the growing success of PCP’s database issues and the many participants for the ‘database sessions’ held at the annual meeting of the Japanese Society of Plant Physiologists and at genomics conferences world-wide prove their remarkable popularity and the increasing necessity to store large-scale biological datasets in databases. Today, an overwhelming amount of information on genome, transcriptome, metabolome, proteome, and phenome, as well as many other experimental resources flood through a number of databases. The development and progression of bio-databases together with analytical wet and dry lab technologies are indispensable factors for the advancement of plant science research. With next-generation sequencing technologies, genome and transcriptome information for many plant species including valuable crops have rapidly accumulated, and are stored in searchable online databases. The availability of numerous online data resources has led to the discovery and characterization of gene and protein functions geared towards crop improvement, such as in genome-wide association studies, genomic selection and targeted genome editing. The integration of these omics datasets in web databases will provide researchers with a wealth of desirable information. However it is not always easy for researchers to seek out the most suitable database, which provides reliable omics information that can be readily translatable. PCP’s database collection offers researchers a solution to this problem by providing a onestop portal for searching the latest plant-related omics databases. The PCP Database Issue is published annually and we believe that our collection of past, present and future issues will provide plant researchers with a valuable portal site housing the latest up to date information on newly released or updated plant-related omics and tool banks freely available to researchers. The next step will be to further develop the portal site to allow more user-friendly searches of the database
DOI:
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发表时间:
2016
期刊:
影响因子:
--
作者:
Atsushi Kurotani;Alexander Tokmakov;Yutaka Kuroda;Kazuo Shinozaki;Tetsuya Sakurai
通讯作者:
Tetsuya Sakurai
DOI:
--
发表时间:
--
期刊:
影响因子:
--
作者:
通讯作者:
--
影响因子:
4.9
作者:
Krishnakumar, Vivek;Choi, Yongwook;Chan, Agnes P.
通讯作者:
Chan, Agnes P.