Database Commons a catalog of biological databases

Database Commons - miRCancer

miRCancer

Citations: 80

z-index 12.48

Short name miRCancer
Full name microRNA Cancer Association Database
Description miRCancer provides comprehensive collection of microRNA (miRNA) expression profiles in various human cancers which are automatically extracted from published literatures in PubMed. It utilizes text mining techniques for information collection. Manual revision is applied after auto-extraction to provide 100% precision.
URL http://mircancer.ecu.edu/
Year founded
Last update & version 2016-03-23    
Availability Free to all users
University/Institution hosted East Carolina University
Address Greenville, NC 27834, USA.
City Greenville
Province/State NC
Country/Region United States
Contact name Qin Ding
Contact email dingq@ecu.edu
Data type(s)
Major organism(s)
Keyword(s)
  • cancer
  • miRNA
Publication(s)
  • miRCancer: a microRNA-cancer association database constructed by text mining on literature. [PMID: 23325619]

    Boya Xie, Qin Ding, Hongjin Han, Di Wu
    Bioinformatics (Oxford, England) 2013:29(5)
    80 Citations (Google Scholar as of 2016-04-29)

    Abstract: Research interests in microRNAs have increased rapidly in the past decade. Many studies have showed that microRNAs have close relationships with various human cancers, and they potentially could be used as cancer indicators in diagnosis or as a suppressor for treatment purposes. There are several databases that contain microRNA-cancer associations predicted by computational methods but few from empirical results. Despite the fact that abundant experiments investigating microRNA expressions in cancer cells have been carried out, the results have remain scattered in the literature. We propose to extract microRNA-cancer associations by text mining and store them in a database called miRCancer. The text mining is based on 75 rules we have constructed, which represent the common sentence structures typically used to state microRNA expressions in cancers. The microRNA-cancer association database, miRCancer, is updated regularly by running the text mining algorithm against PubMed. All miRNA-cancer associations are confirmed manually after automatic extraction. miRCancer currently documents 878 relationships between 236 microRNAs and 79 human cancers through the processing of >26 000 published articles. miRCancer is freely available on the web at http://mircancer.ecu.edu/

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Accessibility

Rate of accessibility:
HTTP status codeDate requested
200 OK2018-11-20
200 OK2018-11-16
200 OK2018-11-13
200 OK2018-11-09
200 OK2018-11-06
200 OK2018-11-02
200 OK2018-10-30
200 OK2018-10-26
200 OK2018-10-23
200 OK2018-10-19
200 OK2018-10-16
-1 Failed2018-10-12
200 OK2018-10-09
200 OK2018-10-05
200 OK2018-10-02
200 OK2018-09-28
200 OK2018-09-25
200 OK2018-09-21
-1 Failed2018-09-18
-1 Failed2018-09-14
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
-1 Failed2018-08-03
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
-1 Failed2018-04-03
200 OK2018-02-27
200 OK2018-02-23
-1 Failed2018-02-20
-1 Failed2018-02-16
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
-1 Failed2018-01-19
-1 Failed2018-01-16
-1 Failed2018-01-12
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
-1 Failed2017-12-15
-1 Failed2017-12-12
-1 Failed2017-12-08
200 OK2017-12-05
200 OK2017-12-01
200 OK2017-11-28
200 OK2017-11-24
200 OK2017-11-21
200 OK2017-11-17
-1 Failed2017-11-14
-1 Failed2017-11-10
-1 Failed2017-11-07
200 OK2017-11-03
200 OK2017-10-31
200 OK2017-10-27
200 OK2017-10-24
200 OK2017-10-20
200 OK2017-10-17
-1 Failed2017-10-13
-1 Failed2017-10-10
-1 Failed2017-10-06
200 OK2017-10-03
200 OK2017-09-29
200 OK2017-09-26
200 OK2017-09-22
200 OK2017-09-19
200 OK2017-09-15
-1 Failed2017-09-12
-1 Failed2017-09-08
-1 Failed2017-09-05
-1 Failed2017-09-01
-1 Failed2017-08-29
200 OK2017-08-25
200 OK2017-08-22
200 OK2017-08-18
200 OK2017-08-15
200 OK2017-08-11
200 OK2017-08-08
200 OK2017-08-04
-1 Failed2017-08-01
-1 Failed2017-07-28
-1 Failed2017-07-25
-1 Failed2017-07-21
200 OK2017-07-18
200 OK2017-07-14
200 OK2017-07-04
200 OK2017-06-30
-1 Failed2017-06-27
200 OK2017-06-23
200 OK2017-06-20
200 OK2017-06-16
200 OK2017-06-13
200 OK2017-06-09
200 OK2017-06-06
200 OK2017-06-02
200 OK2017-05-30
200 OK2017-05-26
200 OK2017-05-23
-1 Failed2017-05-19
-1 Failed2017-05-16
-1 Failed2017-05-12
-1 Failed2017-05-09
-1 Failed2017-05-05
-1 Failed2017-05-02
-1 Failed2017-04-28
-1 Failed2017-04-25
-1 Failed2017-04-21
-1 Failed2017-04-18
-1 Failed2017-04-14
-1 Failed2017-04-11
-1 Failed2017-04-07
200 OK2017-04-04
200 OK2017-03-31
200 OK2017-03-28
200 OK2017-03-24
200 OK2017-03-21
200 OK2017-03-17
200 OK2017-03-14
-1 Failed2017-03-10
-1 Failed2017-03-07
200 OK2017-03-03
200 OK2017-02-28
200 OK2017-02-24
200 OK2017-02-21
200 OK2017-02-17
200 OK2017-02-14
200 OK2017-02-10
200 OK2017-02-07
-1 Failed2017-02-03
200 OK2017-01-31
200 OK2017-01-27
200 OK2017-01-24
200 OK2017-01-20
200 OK2017-01-17
200 OK2017-01-13
200 OK2017-01-10
200 OK2017-01-06
200 OK2017-01-03
200 OK2016-12-30
200 OK2016-12-27
200 OK2016-12-23
200 OK2016-12-20
200 OK2016-12-16
200 OK2016-12-13
200 OK2016-12-09
200 OK2016-12-06
200 OK2016-12-02
200 OK2016-11-29
200 OK2016-11-25
200 OK2016-11-22
200 OK2016-11-18
200 OK2016-11-15
-1 Failed2016-11-11
-1 Failed2016-11-08
-1 Failed2016-11-04
-1 Failed2016-11-01
200 OK2016-10-28
200 OK2016-10-25
-1 Failed2016-10-21
-1 Failed2016-10-18
-1 Failed2016-10-14
-1 Failed2016-10-11
200 OK2016-10-07
200 OK2016-10-04
200 OK2016-09-30
200 OK2016-09-27
200 OK2016-09-23
200 OK2016-09-20
200 OK2016-09-16
200 OK2016-09-13
200 OK2016-09-09
200 OK2016-09-06
200 OK2016-09-02
200 OK2016-08-30
200 OK2016-08-26
200 OK2016-08-23
-1 Failed2016-08-19
-1 Failed2016-08-16
-1 Failed2016-08-12
-1 Failed2016-08-09
-1 Failed2016-08-05
-1 Failed2016-08-02
-1 Failed2016-07-29
200 OK2016-07-26
200 OK2016-07-22
200 OK2016-07-19
200 OK2016-07-15
200 OK2016-07-12
200 OK2016-07-08
-1 Failed2016-07-05
-1 Failed2016-07-01
-1 Failed2016-06-28
200 OK2016-06-24
200 OK2016-06-21
200 OK2016-06-17
-1 Failed2016-06-14
200 OK2016-06-10
200 OK2016-06-07
200 OK2016-06-03
200 OK2016-05-31
200 OK2016-05-27
200 OK2016-05-24
200 OK2016-05-20
200 OK2016-05-17
200 OK2016-05-13
-1 Failed2016-05-10
-1 Failed2016-05-06
200 OK2016-05-03
200 OK2016-04-29
200 OK2016-04-26
200 OK2016-04-22
200 OK2016-04-19
200 OK2016-04-15
200 OK2016-04-12
200 OK2016-04-08
200 OK2016-04-05
200 OK2016-04-01
200 OK2016-03-29
200 OK2016-03-28
200 OK2016-03-25
200 OK2016-03-23
200 OK2016-03-21
200 OK2016-03-18
200 OK2016-03-16
200 OK2016-03-14
200 OK2016-03-11
200 OK2016-03-09
200 OK2016-03-07
200 OK2016-03-04
200 OK2016-03-02
200 OK2016-02-29
200 OK2016-02-26
200 OK2016-02-24
200 OK2016-02-22
200 OK2016-02-19
200 OK2016-02-17
200 OK2016-02-15
200 OK2016-02-14
200 OK2016-02-12
200 OK2016-02-10
200 OK2016-02-08
200 OK2016-02-07
200 OK2016-02-05
200 OK2016-02-03
200 OK2016-02-01
200 OK2016-01-31
200 OK2016-01-29
200 OK2016-01-27
200 OK2016-01-25
200 OK2016-01-24
200 OK2016-01-22
200 OK2016-01-20
200 OK2016-01-18
200 OK2016-01-17
200 OK2016-01-15
200 OK2016-01-13
200 OK2016-01-11
200 OK2016-01-10
200 OK2016-01-08
200 OK2016-01-06
-1 Failed2016-01-04

Tags

Disease RNA
Homo sapiens
cancer miRNA

Record metadata

  • Created on: 2015-06-30
  • Curated by:
    • Lin Liu [2016-03-29]
    • Lin Liu [2015-12-29]
    • Jian Sang [2015-06-30]
Stats