Using literature-based discovery to identify disease candidate genes
Using literature-based discovery to identify disease candidate genes
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DOI：
10.1016/j.ijmedinf.2004.04.024
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发表时间：
2005-03-01
影响因子：
4.9
通讯作者：
Humphrey, SM
中科院分区：
文献类型：
--
作者：
Hristovski, D;Peterlin, B;Humphrey, SM
我们推出 BITOLA，一种基于滴度的交互式生物医学发现支持系统。该系统的目标是通过挖掘书目数据库 MEDLINE(R) 来发现给定的感兴趣起始概念与其他概念之间新的、潜在有意义的关系。为了使系统更适合疾病候选基因发现并减少候选关系的数量，我们整合了来自LocusLink和人类基因组组织（HUGO）等资源的起始疾病染色体位置以及候选基因染色体位置的背景知识。 BITOLA 还可以用作搜索 MEDLINE 数据库的替代方法。该系统可从 http://www.mf.uni-lj.si/bitola/ 获取。 (C) 2004 Elsevier Ireland Ltd. 保留所有权利。
We present BITOLA, an interactive titerature-based biomedical discovery support system. The goal of this system is to discover new, potentially meaningful relations between a given starting concept of interest and other concepts, by mining the bibliographic database MEDLINE(R). To make the system more suitable for disease candidate gene discovery and to decrease the number of candidate relations, we integrate background knowledge about the chromosomal location of the starting disease as well as the chromosomal location of the candidate genes from resources such as LocusLink and Human Genome Organization (HUGO). BITOLA can also be used as an alternative way of searching the MEDLINE database. The system is available at http://www.mf.uni-lj.si/bitola/. (C) 2004 Elsevier Ireland Ltd. All rights reserved.