LitMiner and WikiGene: identifying problem-related key players of gene regulation using publication abstracts.

LitMiner and WikiGene: identifying problem-related key players of gene regulation using publication abstracts.
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DOI:
10.1093/nar/gki417
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发表时间:
2005-07-01
影响因子:
14.9
通讯作者:
Schneider, R
Schneider, R
中科院分区:
生物学2区
文献类型:
--
作者:
Maier, H;Döhr, S;Grote, K;O'Keeffe, S;Werner, T;de Angelis, MH;Schneider, R

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LitMiner软件是一种文献数据挖掘工具,有助于识别与PubMed摘要中用户定义的感兴趣领域相关的主要基因调控关键参与者。基因调控关系的预测是基于摘要中关键术语的共现分析。LitMiner预测了生物医学领域四个类别(基因、化合物、疾病和组织)中关键术语之间的关系。由于共现方法的局限性(无方向,未经验证的自动预测),LitMiner数据库中的原始数据代表假定的基本基因-基因关系。LitMiner系统的有用性最近在一项研究中得到了证明,该研究通过启动子建模重建了疾病相关的调控网络,该启动子建模由LitMiner生成的主要基因列表启动。为了克服这些局限性并验证和改进数据,我们开发了WikiGene,这是一个基于维基的策展工具,允许专家用户通过互联网修改数据。LitMiner()和WikiGene()可以不受限制地与任何Internet浏览器一起使用。
The LitMiner software is a literature data-mining tool that facilitates the identification of major gene regulation key players related to a user-defined field of interest in PubMed abstracts. The prediction of gene-regulatory relationships is based on co-occurrence analysis of key terms within the abstracts. LitMiner predicts relationships between key terms from the biomedical domain in four categories (genes, chemical compounds, diseases and tissues). Owing to the limitations (no direction, unverified automatic prediction) of the co-occurrence approach, the primary data in the LitMiner database represent postulated basic gene–gene relationships. The usefulness of the LitMiner system has been demonstrated recently in a study that reconstructed disease-related regulatory networks by promoter modelling that was initiated by a LitMiner generated primary gene list. To overcome the limitations and to verify and improve the data, we developed WikiGene, a Wiki-based curation tool that allows revision of the data by expert users over the Internet. LitMiner () and WikiGene () can be used unrestricted with any Internet browser.
DOI: 10.1038/88213
发表时间: 2001-05-01
期刊: NATURE GENETICS
影响因子: 30.8
作者:
Jenssen, TK;Lægreid, A;Hovig, E
通讯作者: Hovig, E
DOI: 10.1186/1471-2105-4-61
发表时间: 2003-12-10
期刊: BMC bioinformatics
影响因子: 3
作者:
Becker KG;Hosack DA;Dennis G Jr;Lempicki RA;Bright TJ;Cheadle C;Engel J
通讯作者: Engel J
DOI: 10.1093/nar/gki230
发表时间: 2005
影响因子: 14.9
作者:
Döhr S;Klingenhoff A;Maier H;Hrabé de Angelis M;Werner T;Schneider R
通讯作者: Schneider R
DOI: 10.1093/nar/gki062
发表时间: 2005-01-01
影响因子: 14.9
作者:
Wheeler, DL;Barrett, T;Yaschenko, E
通讯作者: Yaschenko, E
DOI: 10.1093/bioinformatics/btg390
发表时间: 2004-01-22
期刊: BIOINFORMATICS
影响因子: 5.8
作者:
Wren, JD;Garner, HR
通讯作者: Garner, HR