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

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 i...

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Detalles Bibliográficos
Autores principales: Tuteja, Amit, Joshi, Kandarp, Subodh, Swati, Kaur, Navkiran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4166778/
https://www.ncbi.nlm.nih.gov/pubmed/25258494
http://dx.doi.org/10.6026/97320630010551
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author Tuteja, Amit
Joshi, Kandarp
Subodh, Swati
Kaur, Navkiran
author_facet Tuteja, Amit
Joshi, Kandarp
Subodh, Swati
Kaur, Navkiran
author_sort Tuteja, Amit
collection PubMed
description 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 microorganisms. 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
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spelling pubmed-41667782014-09-25 GSIT: An integrated web-tool for identification of genomic signatures in highly similar DNA sequences Tuteja, Amit Joshi, Kandarp Subodh, Swati Kaur, Navkiran Bioinformation Software 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 microorganisms. 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 Biomedical Informatics 2014-08-30 /pmc/articles/PMC4166778/ /pubmed/25258494 http://dx.doi.org/10.6026/97320630010551 Text en © 2014 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
spellingShingle Software
Tuteja, Amit
Joshi, Kandarp
Subodh, Swati
Kaur, Navkiran
GSIT: An integrated web-tool for identification of genomic signatures in highly similar DNA sequences
title GSIT: An integrated web-tool for identification of genomic signatures in highly similar DNA sequences
title_full GSIT: An integrated web-tool for identification of genomic signatures in highly similar DNA sequences
title_fullStr GSIT: An integrated web-tool for identification of genomic signatures in highly similar DNA sequences
title_full_unstemmed GSIT: An integrated web-tool for identification of genomic signatures in highly similar DNA sequences
title_short GSIT: An integrated web-tool for identification of genomic signatures in highly similar DNA sequences
title_sort gsit: an integrated web-tool for identification of genomic signatures in highly similar dna sequences
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4166778/
https://www.ncbi.nlm.nih.gov/pubmed/25258494
http://dx.doi.org/10.6026/97320630010551
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