Work

Survey of Natural Language Processing Techniques in Bioinformatics

Year: 2015

Type: review

Abstract: Informatics methods, such as text mining and natural language processing, are always involved in bioinformatics research. In this study, we discuss text mining and natural language processing methods in bioinformatics from two perspectives. First, we aim to search for knowledge on biology, retrieve references using text mining methods, and reconstruct databases. For example, protein-protein interactions and gene-disease relationship can be mined from PubMed. Then, we analyze the applications of text mining and natural language processing techniques in bioinformatics, including predicting protein structure and function, detecting noncoding RNA. Finally, numerous methods and applications, as well as their contributions to bioinformatics, are discussed for future use by text mining and natural language processing researchers.

Source: Computational and Mathematical Methods in Medicine

DOI: 10.1155/2015/674296

Authors: Zhiqiang Zeng, Hua Shi, Yun Wu, Zhiling Hong

Institutions: Xiamen University of Technology, Xiamen University

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

Open Access status: hybrid

Estimated APC paid: $2,550

Funders: National Natural Science Foundation of China, Natural Science Foundation of Fujian Province, Department of Education, Fujian Province