Survey of Natural Language Processing Techniques in Bioinformatics

Joint Authors

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

Source

Computational and Mathematical Methods in Medicine

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-10-07

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Medicine

Abstract EN

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.

American Psychological Association (APA)

Zeng, Zhiqiang& Shi, Hua& Wu, Yun& Hong, Zhiling. 2015. Survey of Natural Language Processing Techniques in Bioinformatics. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057967

Modern Language Association (MLA)

Zeng, Zhiqiang…[et al.]. Survey of Natural Language Processing Techniques in Bioinformatics. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1057967

American Medical Association (AMA)

Zeng, Zhiqiang& Shi, Hua& Wu, Yun& Hong, Zhiling. Survey of Natural Language Processing Techniques in Bioinformatics. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057967

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1057967