基于R语言lncRNA生物学文献挖掘方法初探

Primary Investigation into Biological Literature Mining on lncRNA based on R Language

近年来,长链非编码RNA(long non-coding RNA,lncRNA)因其在细胞生命活动中的重要作用而受到越来越多的关注,发表的lncRNA文献数量也急剧增长。当前,对于普通的生物学家而言,人工文献挖掘主要靠在文献数据库中进行关键词搜索。然而,传统的文献检索已经很难适应文献累积速度。所以,我们通过R语言编程在万方数据库在线抓取到604条lncRNA文献记录,利用文献计量分析、关联分析、社会网络分析等数据挖掘工具,对其标题、作者、关键词、基金等文献外部特征进行了文献挖掘初步探索。结果表明,这种方法可以揭示lncRNA研究重点,并为lncRNA的深入研究和其他研究领域的文献挖掘提供借鉴。

In recent years,long non-coding RNA(lncRNA) is drawing increasing attention because it plays an important role in a variety of cellular processes, and the quantity of literature on lncRNA has been growing dramatically. For the average biologist,hands-on literature mining currently means a keyword search in literature database. However,traditional method of literature retrieval has been difficult to adapt to the accumulation speed of literatures. Therefore,authores downloaded online604 literature entries in the field of lncRNA from Wanfang database using R program. Then,they explored primary investigation of applying data mining tools including bibliometric analysis,association analysis and social network analysis to external characteristics of these literatures such as title,author,keyword,fund and so on. The results showed that this method revealed lncRNA research focus,and provided some references for further research of lncRNA and literature mining of other fields.