ISSN: 0973-7510

E-ISSN: 2581-690X

Open Access
Vikas Kaushik, Bhupender Singh and Joginder Singh
Department of Biotechnology, School of Bioengineering and Biosciences, Lovely Professional University, Phagwara, Punjab – 144 411, India.
J Pure Appl Microbiol. 2017;11(2):921-932
https://doi.org/10.22207/JPAM.11.2.32 | © The Author(s). 2017
Received: 01/03/2017 | Accepted: 17/04/2017 | Published: 30/06/2017
Abstract

Hepatitis C is widely spread and induces life threatening situations. Researchers from various fields have developed vaccine, but they are not that effective because of the variation in genotype of Hepatitis virus and also not much affordable. In-silico approach is of greater importance in designing and testing the model vaccine. In this study, investigation has been done for the available Bioinformatics tools and methodologies used in HCV research. Different types of tools and databases commonly used by researchers were reviewed to get an overall picture of bioinformatics techniques, computational biology tools and databases used in Hepatitis C Virus research. Exclusive study has also done to figure out different statistical methods used by different research groups. This paper will provide an up-to-date picture of computation approaches used for exploring Hepatitis C treatment.

Keywords

Liver disease, In-silico, tools, techniques, database, vaccine.

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