Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

CRN

General information

URL: http://syslab4.nchu.edu.tw/CRN
Full name: cancer RNA-seq nexus
Description: CRN has a user-friendly web interface designed to facilitate cancer research and personalized medicine. It is an open resource for intuitive data exploration, providing coding-transcript/lncRNA expression profiles to support researchers generating new hypotheses in cancer research and personalized medicine.
Year founded: 2016
Last update: 2015-11-23
Version: v1.0
Accessibility:
Manual:
Accessible
Real time : Checking...
Country/Region: China

Classification & Tag

Data type:
RNA
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: National Chung Hsing University
Address: Taichung 402, Taiwan
City: Taichung
Province/State: Taiwan
Country/Region: China
Contact name (PI/Team): Chun-Chi Liu
Contact email (PI/Helpdesk): jimliu@nchu.edu.tw

Publications

26602695
Cancer RNA-Seq Nexus: a database of phenotype-specific transcriptome profiling in cancer cells. [PMID: 26602695]
Li JR, Sun CH, Li W, Chao RF, Huang CC, Zhou XJ, Liu CC.

The genome-wide transcriptome profiling of cancerous and normal tissue samples can provide insights into the molecular mechanisms of cancer initiation and progression. RNA Sequencing (RNA-Seq) is a revolutionary tool that has been used extensively in cancer research. However, no existing RNA-Seq database provides all of the following features: (i) large-scale and comprehensive data archives and analyses, including coding-transcript profiling, long non-coding RNA (lncRNA) profiling and coexpression networks; (ii) phenotype-oriented data organization and searching and (iii) the visualization of expression profiles, differential expression and regulatory networks. We have constructed the first public database that meets these criteria, the Cancer RNA-Seq Nexus (CRN, http://syslab4.nchu.edu.tw/CRN). CRN has a user-friendly web interface designed to facilitate cancer research and personalized medicine. It is an open resource for intuitive data exploration, providing coding-transcript/lncRNA expression profiles to support researchers generating new hypotheses in cancer research and personalized medicine. © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.

Nucleic Acids Res. 2016:44(D1) | 74 Citations (from Europe PMC, 2024-04-20)

Ranking

All databases:
1044/6000 (82.617%)
Health and medicine:
238/1394 (82.999%)
Expression:
191/1143 (83.377%)
Interaction:
198/982 (79.939%)
1044
Total Rank
74
Citations
9.25
z-index

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Record metadata

Created on: 2016-01-02
Curated by:
Lina Ma [2023-04-04]
Mengwei Li [2016-03-31]
Lin Liu [2016-02-08]
Lin Liu [2016-01-27]
Lin Liu [2016-01-02]