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Title

GSIT: An integrated web-tool for identification of genomic signatures in highly similar DNA sequences

 

Authors

Amit Tuteja1,2*, Kandarp Joshi1,3, Swati Subodh1,4 & Navkiran Kaur2

 

Affiliation

1Institute of Molecular Medicine, New Delhi; 2Amity Institute of Biotechnology, Amity University, Noida, India; 3Faculty of Technology and Engineering, The Maharaja Sayajirao University of Baroda, Vadodara; 4Council of Scientific and Industrial Research-Open Source Drug Discovery Unit, New Delhi

 

Email

amittuteja1981@gmail.com; *Corresponding authors

 

Article Type

Software

 

Date

Received August 06, 2014; Revised August 16, 2014; Accepted August 16, 2014; Published August 30, 2014

 

Abstract

Accurate identification and characterization of infectious agent and its subtype is essential for efficient treatment of infectious diseases on a target population of patients. Comparative biology of microbial populations in vitro and in vivo can identify signatures that may be used to develop and improve diagnostic procedures. Here we report Genomic Signature Identification Tool (GSIT) a web based tool for identification and validation of genomic signatures in a group of similar DNA sequences of micro-organisms. GSIT uses multiple sequence alignment to identify the unique base sites and scores them for inclusion as genomic signature for the particular strain. GSIT is a web based tool where the front-end in designed using HTML/CSS and Javascript, while back-end is run using CGI-Perl.

 

Availability

The server is freely available at the http://genome-sign.net/gsit.

 

Keywords

Infectious Diseases, Subtype Identification, Diagnostics, Genomic signatures, Comparative Genomics.

 

Citation

Tuteja et al. Bioinformation 10(8): 551-554 (2014)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.