| REVIEW ARTICLE |
|
| Year : 2018 | Volume
: 2
| Issue : 3 | Page : 163-167 |
|
|
Bioinformatics tools for genomic and evolutionary analysis of infectious agents
Vivek Dhar Dwivedi1, Shiv Bharadwaj2, Partha Sarathi Mohanty1, Umesh Datta Gupta3
1 Department of Epidemiology, ICMR-National JALMA Institute for Leprosy and Other Mycobacterial Diseases, Agra, Uttar Pradesh, India
2 Nanotechnology Research and Application Center, Sabanci University, Istanbul, Turkey
3 Department of Animal Experimentation, ICMR-National JALMA Institute for Leprosy and Other Mycobacterial Diseases, Agra, Uttar Pradesh, India
Correspondence Address:
Dr. Umesh Datta Gupta
Department of Animal Experimentation, ICMR-National Jalma Institute for Leprosy and Other Mycobacterial Diseases, Agra, Uttar Pradesh
India
 Source of Support: None, Conflict of Interest: None
DOI: 10.4103/bbrj.bbrj_74_18
|
|
|
Genome sequence analysis of infectious agents (IAs) reveals many secrets about their life processes and evolutionary history. Increasing the huge amount of genomic sequence data of various IAs in different biological sequence databases, which are being produced through different sequencing projects, is continuously motivating the genome researchers to unlock the mysteries related to the life of IAs. Furthermore, that information may be helpful for treating the serious illness problem caused by IAs. However, all the genome analysis work requires a good knowledge of bioinformatics tools that may be useful for genome researchers to extract the meaningful and accurate information from the genome sequence data of IAs. In this article, the most recent bioinformatics tools for the genomic and evolutionary analysis of infectious agents have been discussed and compared in detail which will help the genome researchers to select the most appropriate tool for genomic and evolutionary analysis of IAs.
|
|
|
|
| [FULL TEXT] [PDF]* |
|
 |
|
