IGIPT - Integrated genomic island prediction tool

IGIPT is a web-based integrated platform for the identification of genomic islands (GIs). It incorporates thirteen parametric measures based on anomalous nucleotide composition on a single platform, thus improving the predictive power of a horizontally acquired region, since it is known that no sing...

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Detalles Bibliográficos
Autores principales: Jain, Ruchi, Ramineni, Sandeep, Parekh, Nita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2011
Materias:
Web Server
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3280501/
https://www.ncbi.nlm.nih.gov/pubmed/22355227
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author Jain, Ruchi
Ramineni, Sandeep
Parekh, Nita
author_facet Jain, Ruchi
Ramineni, Sandeep
Parekh, Nita
author_sort Jain, Ruchi
collection PubMed
description IGIPT is a web-based integrated platform for the identification of genomic islands (GIs). It incorporates thirteen parametric measures based on anomalous nucleotide composition on a single platform, thus improving the predictive power of a horizontally acquired region, since it is known that no single measure can absolutely predict a horizontally transferred region. The tool filters putative GIs based on standard deviation from genomic average and also provides raw output in MS excel format for further analysis. To facilitate the identification of various structural features, viz., tRNA integration sites, repeats, etc. in the vicinity of GIs, the tool provides option to extract the predicted regions and its flanking regions. AVAILABILITY: The database is available for free at http://bioinf.iiit.ac.in/IGIPT/
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spelling pubmed-32805012012-02-21 IGIPT - Integrated genomic island prediction tool Jain, Ruchi Ramineni, Sandeep Parekh, Nita Bioinformation Web Server IGIPT is a web-based integrated platform for the identification of genomic islands (GIs). It incorporates thirteen parametric measures based on anomalous nucleotide composition on a single platform, thus improving the predictive power of a horizontally acquired region, since it is known that no single measure can absolutely predict a horizontally transferred region. The tool filters putative GIs based on standard deviation from genomic average and also provides raw output in MS excel format for further analysis. To facilitate the identification of various structural features, viz., tRNA integration sites, repeats, etc. in the vicinity of GIs, the tool provides option to extract the predicted regions and its flanking regions. AVAILABILITY: The database is available for free at http://bioinf.iiit.ac.in/IGIPT/ Biomedical Informatics 2011-11-20 /pmc/articles/PMC3280501/ /pubmed/22355227 Text en © 2011 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 Web Server
Jain, Ruchi
Ramineni, Sandeep
Parekh, Nita
IGIPT - Integrated genomic island prediction tool
title IGIPT - Integrated genomic island prediction tool
title_full IGIPT - Integrated genomic island prediction tool
title_fullStr IGIPT - Integrated genomic island prediction tool
title_full_unstemmed IGIPT - Integrated genomic island prediction tool
title_short IGIPT - Integrated genomic island prediction tool
title_sort igipt - integrated genomic island prediction tool
topic Web Server
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3280501/
https://www.ncbi.nlm.nih.gov/pubmed/22355227
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AT parekhnita igiptintegratedgenomicislandpredictiontool

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