Database Commons a catalog of biological databases

Database Commons - RED

RED

Citations: 0

z-index 0.00

Short name RED
Full name Rice Expression Database
Description Rice Expression Database (RED) is a repository of gene expression profiles derived entirely from RNA-Seq data analysis on tissues spanning an entire range of rice growth stages and covering a wide variety of biotic and abiotic treatments. RED features integration and visualization of gene expression profiles based on curated and quality-controlled RNA-Seq data encompassing diverse tissues and treatments. RED is a sub-project of IC4R (Information Commons for Rice; http://ic4r.org) that aims to provide rice reference genome with standardized and accurate gene annotations based on a huge volume of omics data and a large number of rice-related literatures.
URL http://expression.ic4r.org
Year founded 2017
Last update & version 2017-05-20    1.0
Availability Free to all users
University/Institution hosted Beijing Institute of Genomics, Chinese Academy of Sciences
Address No.1 Beichen West Road, Chaoyang District, Beijing 100101, China
City Beijing
Province/State Beijing
Country/Region China
Contact name Zhang Zhang
Contact email zhangzhang@big.ac.cn
Data type(s)
Major organism(s)
Keyword(s)
  • RNA-Seq
Publication(s)
  • Rice Expression Database (RED): An integrated RNA-Seq-derived gene expression database for rice. [PMID: 28529082]

    Lin Xia, Dong Zou, Jian Sang, Xingjian Xu, Hongyan Yin, Mengwei Li, Shuangyang Wu, Songnian Hu, Lili Hao, Zhang Zhang
    Journal of genetics and genomics = Yi chuan xue bao 2017:44(5)
    Citation (to be updated)

    Abstract: Rice is one of the most important stable food as well as a monocotyledonous model organism for the plant research community. Here, we present RED (Rice Expression Database; http://expression.ic4r.org), an integrated database of rice gene expression profiles derived entirely from RNA-Seq data. RED features a comprehensive collection of 284 high-quality RNA-Seq experiments, integrates a large number of gene expression profiles and covers a wide range of rice growth stages as well as various treatments. Based on massive expression profiles, RED provides a list of housekeeping and tissue-specific genes and dynamically constructs co-expression networks for gene(s) of interest. Besides, it provides user-friendly web interfaces for querying, browsing and visualizing expression profiles of concerned genes. Together, as a core resource in BIG Data Center, RED bears great utility for characterizing the function of rice genes and better understanding important biological processes and mechanisms underlying complex agronomic traits in rice. Copyright � 2017 Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, and Genetics Society of China. Published by Elsevier Ltd. All rights reserved.

Community reviews

Data
quality & quantity
Content organization & presentation
System accessibility & reliability
Reviewed by

Word cloud (embeddable)

Database Commons - Word Cloud

Accessibility

Rate of accessibility:
HTTP status codeDate requested
200 OK2018-09-18
200 OK2018-09-14
200 OK2018-09-11
200 OK2018-09-07
200 OK2018-09-04
200 OK2018-08-31
200 OK2018-08-28
200 OK2018-08-24
200 OK2018-08-21
200 OK2018-08-17
200 OK2018-08-14
200 OK2018-08-10
200 OK2018-08-07
200 OK2018-08-03
200 OK2018-07-31
200 OK2018-07-27
200 OK2018-07-24
200 OK2018-07-20
200 OK2018-07-17
200 OK2018-07-13
200 OK2018-07-10
200 OK2018-07-06
200 OK2018-07-03
200 OK2018-06-29
200 OK2018-06-26
200 OK2018-06-22
200 OK2018-06-19
200 OK2018-06-15
200 OK2018-06-12
200 OK2018-06-08
200 OK2018-06-05
200 OK2018-06-01
200 OK2018-05-29
200 OK2018-05-25
200 OK2018-05-22
200 OK2018-05-18
200 OK2018-05-15
200 OK2018-05-11
200 OK2018-05-08
200 OK2018-05-04
200 OK2018-05-01
200 OK2018-04-27
200 OK2018-04-24
200 OK2018-04-20
200 OK2018-04-17
200 OK2018-04-13
200 OK2018-04-10
200 OK2018-04-06
200 OK2018-04-03
200 OK2018-02-27
200 OK2018-02-23
200 OK2018-02-20
200 OK2018-02-16
200 OK2018-02-13
200 OK2018-02-09
200 OK2018-02-06
200 OK2018-02-02
200 OK2018-01-30
200 OK2018-01-26
200 OK2018-01-23
200 OK2018-01-19
200 OK2018-01-16
200 OK2018-01-12
200 OK2018-01-09
200 OK2018-01-05
200 OK2018-01-02
200 OK2017-12-29
200 OK2017-12-26
200 OK2017-12-22
200 OK2017-12-19
200 OK2017-12-15
200 OK2017-12-12
200 OK2017-12-08
200 OK2017-12-05
200 OK2017-12-01
200 OK2017-11-28
200 OK2017-11-24
200 OK2017-11-21
200 OK2017-11-17
200 OK2017-11-14
200 OK2017-11-10
200 OK2017-11-07

Tags

Expression
Rice
RNA-Seq

Record metadata

  • Created on: 2017-11-06
  • Curated by:
    • Zhang Zhang [2018-01-05]
    • Lina Ma [2017-12-05]
    • Lin Liu [2017-11-06]
Stats