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IWS: Integrated web server for protein sequence and structure analysis

Rapid increase in protein sequence information from genome sequencing projects demand the intervention of bioinformatics tools to recognize interesting gene-products and associated function. Often, multiple algorithms need to be employed to improve accuracy in predictions and several structure predi...

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Detalles Bibliográficos
Autores principales: Shameer, Khader, Sowdhamini, Ramanathan
Formato: Texto
Lenguaje:English
Publicado: Biomedical Informatics Publishing Group 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2248443/
https://www.ncbi.nlm.nih.gov/pubmed/18288329
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author Shameer, Khader
Sowdhamini, Ramanathan
author_facet Shameer, Khader
Sowdhamini, Ramanathan
author_sort Shameer, Khader
collection PubMed
description Rapid increase in protein sequence information from genome sequencing projects demand the intervention of bioinformatics tools to recognize interesting gene-products and associated function. Often, multiple algorithms need to be employed to improve accuracy in predictions and several structure prediction algorithms are on the public domain. Here, we report the availability of an Integrated Web-server as a bioinformatics online package dedicated for in-silico analysis of protein sequence and structure data (IWS). IWS provides web interface to both in-house and widely accepted programs from major bioinformatics groups, organized as 10 different modules. IWS also provides interactive images for Analysis Work Flow, which will provide transparency to the user to carry out analysis by moving across modules seamlessly and to perform their predictions in a rapid manner. AVAILABILITY: IWS is available from the URL: http://caps.ncbs.res.in/iws.
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spelling pubmed-22484432008-02-20 IWS: Integrated web server for protein sequence and structure analysis Shameer, Khader Sowdhamini, Ramanathan Bioinformation Web Server Rapid increase in protein sequence information from genome sequencing projects demand the intervention of bioinformatics tools to recognize interesting gene-products and associated function. Often, multiple algorithms need to be employed to improve accuracy in predictions and several structure prediction algorithms are on the public domain. Here, we report the availability of an Integrated Web-server as a bioinformatics online package dedicated for in-silico analysis of protein sequence and structure data (IWS). IWS provides web interface to both in-house and widely accepted programs from major bioinformatics groups, organized as 10 different modules. IWS also provides interactive images for Analysis Work Flow, which will provide transparency to the user to carry out analysis by moving across modules seamlessly and to perform their predictions in a rapid manner. AVAILABILITY: IWS is available from the URL: http://caps.ncbs.res.in/iws. Biomedical Informatics Publishing Group 2007-11-01 /pmc/articles/PMC2248443/ /pubmed/18288329 Text en © 2007 Biomedical Informatics Publishing Group 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
Shameer, Khader
Sowdhamini, Ramanathan
IWS: Integrated web server for protein sequence and structure analysis
title IWS: Integrated web server for protein sequence and structure analysis
title_full IWS: Integrated web server for protein sequence and structure analysis
title_fullStr IWS: Integrated web server for protein sequence and structure analysis
title_full_unstemmed IWS: Integrated web server for protein sequence and structure analysis
title_short IWS: Integrated web server for protein sequence and structure analysis
title_sort iws: integrated web server for protein sequence and structure analysis
topic Web Server
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2248443/
https://www.ncbi.nlm.nih.gov/pubmed/18288329
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