| 引用本文: | 苏绍玉,徐婧,鄢仁祥.文本分析技术在蛋白质生物信息学中应用的案例综述[J].生物信息学,2020,18(4):215-222. |
| SU Shaoyu,XU Jing,YAN Renxiang.Systematic investigation of application of text analysis to protein bioinformatics[J].Chinese Journal of Bioinformatics,2020,18(4):215-222. |
|
| 摘要: |
| 海量数据时代考察文本分析技术在生物信息学领域的应用具有重要的理论和现实价值。本文讨论了文本分析在蛋白质计算分析中的几个应用实例以及核心技术内容。文本分析技术应用于生物信息学领域可发挥引领和导向作用,在生物信息学中的应用又进一步促进了文本分析技术的发展。文本分析技术虽然广泛在生物信息学中应用,但是其发展仍然有需要尚待解决的几个问题,本文对此也进行了讨论。 |
| 关键词: 文本分析 科技情报 生物信息学 蛋白质计算 大数据 人工智能 |
| DOI：10.12113/202003003 |
| 分类号:Q816；G202 |
| 文献标识码:A |
| 基金项目:国家自然科学基金项目(No.31500673)；福建省属公益类科研院所基本科研专项基金(No. 2017R1008-10). |
|
| Systematic investigation of application of text analysis to protein bioinformatics |
|
SU Shaoyu1, XU Jing2, YAN Renxiang2
|
|
(1．Fujian Institute of Scientific and Technological Information, Fuzhou 350003, China; 2．College of Biological Science and Engineering, Fuzhou University, Fuzhou 350100, China)
|
| Abstract: |
| Investigating the application of text analysis technology to bioinformatics has important theoretical and practical value in the era of big data. Several application examples and core technical content of text analysis in protein computational analysis are discussed in this paper. Text analysis technology can play a leading and guiding role in the field of bioinformatics, and its application in bioinformatics further promotes the development of text analysis technology. Although text analysis technology has been widely used in bioinformatics, there are still some problems to be solved,which are also discussed in this paper. |
| Key words: Text analysis Sci-tech information Bioinformatics Protein computing Big data Artificial intelligence |
