Cargando…

ZBIT Bioinformatics Toolbox: A Web-Platform for Systems Biology and Expression Data Analysis

Bioinformatics analysis has become an integral part of research in biology. However, installation and use of scientific software can be difficult and often requires technical expert knowledge. Reasons are dependencies on certain operating systems or required third-party libraries, missing graphical...

Descripción completa

Detalles Bibliográficos
Autores principales: Römer, Michael, Eichner, Johannes, Dräger, Andreas, Wrzodek, Clemens, Wrzodek, Finja, Zell, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4801062/
https://www.ncbi.nlm.nih.gov/pubmed/26882475
http://dx.doi.org/10.1371/journal.pone.0149263
_version_ 1782422542229700608
author Römer, Michael
Eichner, Johannes
Dräger, Andreas
Wrzodek, Clemens
Wrzodek, Finja
Zell, Andreas
author_facet Römer, Michael
Eichner, Johannes
Dräger, Andreas
Wrzodek, Clemens
Wrzodek, Finja
Zell, Andreas
author_sort Römer, Michael
collection PubMed
description Bioinformatics analysis has become an integral part of research in biology. However, installation and use of scientific software can be difficult and often requires technical expert knowledge. Reasons are dependencies on certain operating systems or required third-party libraries, missing graphical user interfaces and documentation, or nonstandard input and output formats. In order to make bioinformatics software easily accessible to researchers, we here present a web-based platform. The Center for Bioinformatics Tuebingen (ZBIT) Bioinformatics Toolbox provides web-based access to a collection of bioinformatics tools developed for systems biology, protein sequence annotation, and expression data analysis. Currently, the collection encompasses software for conversion and processing of community standards SBML and BioPAX, transcription factor analysis, and analysis of microarray data from transcriptomics and proteomics studies. All tools are hosted on a customized Galaxy instance and run on a dedicated computation cluster. Users only need a web browser and an active internet connection in order to benefit from this service. The web platform is designed to facilitate the usage of the bioinformatics tools for researchers without advanced technical background. Users can combine tools for complex analyses or use predefined, customizable workflows. All results are stored persistently and reproducible. For each tool, we provide documentation, tutorials, and example data to maximize usability. The ZBIT Bioinformatics Toolbox is freely available at https://webservices.cs.uni-tuebingen.de/.
format Online
Article
Text
id pubmed-4801062
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-48010622016-03-23 ZBIT Bioinformatics Toolbox: A Web-Platform for Systems Biology and Expression Data Analysis Römer, Michael Eichner, Johannes Dräger, Andreas Wrzodek, Clemens Wrzodek, Finja Zell, Andreas PLoS One Research Article Bioinformatics analysis has become an integral part of research in biology. However, installation and use of scientific software can be difficult and often requires technical expert knowledge. Reasons are dependencies on certain operating systems or required third-party libraries, missing graphical user interfaces and documentation, or nonstandard input and output formats. In order to make bioinformatics software easily accessible to researchers, we here present a web-based platform. The Center for Bioinformatics Tuebingen (ZBIT) Bioinformatics Toolbox provides web-based access to a collection of bioinformatics tools developed for systems biology, protein sequence annotation, and expression data analysis. Currently, the collection encompasses software for conversion and processing of community standards SBML and BioPAX, transcription factor analysis, and analysis of microarray data from transcriptomics and proteomics studies. All tools are hosted on a customized Galaxy instance and run on a dedicated computation cluster. Users only need a web browser and an active internet connection in order to benefit from this service. The web platform is designed to facilitate the usage of the bioinformatics tools for researchers without advanced technical background. Users can combine tools for complex analyses or use predefined, customizable workflows. All results are stored persistently and reproducible. For each tool, we provide documentation, tutorials, and example data to maximize usability. The ZBIT Bioinformatics Toolbox is freely available at https://webservices.cs.uni-tuebingen.de/. Public Library of Science 2016-02-16 /pmc/articles/PMC4801062/ /pubmed/26882475 http://dx.doi.org/10.1371/journal.pone.0149263 Text en © 2016 Römer et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Römer, Michael
Eichner, Johannes
Dräger, Andreas
Wrzodek, Clemens
Wrzodek, Finja
Zell, Andreas
ZBIT Bioinformatics Toolbox: A Web-Platform for Systems Biology and Expression Data Analysis
title ZBIT Bioinformatics Toolbox: A Web-Platform for Systems Biology and Expression Data Analysis
title_full ZBIT Bioinformatics Toolbox: A Web-Platform for Systems Biology and Expression Data Analysis
title_fullStr ZBIT Bioinformatics Toolbox: A Web-Platform for Systems Biology and Expression Data Analysis
title_full_unstemmed ZBIT Bioinformatics Toolbox: A Web-Platform for Systems Biology and Expression Data Analysis
title_short ZBIT Bioinformatics Toolbox: A Web-Platform for Systems Biology and Expression Data Analysis
title_sort zbit bioinformatics toolbox: a web-platform for systems biology and expression data analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4801062/
https://www.ncbi.nlm.nih.gov/pubmed/26882475
http://dx.doi.org/10.1371/journal.pone.0149263
work_keys_str_mv AT romermichael zbitbioinformaticstoolboxawebplatformforsystemsbiologyandexpressiondataanalysis
AT eichnerjohannes zbitbioinformaticstoolboxawebplatformforsystemsbiologyandexpressiondataanalysis
AT dragerandreas zbitbioinformaticstoolboxawebplatformforsystemsbiologyandexpressiondataanalysis
AT wrzodekclemens zbitbioinformaticstoolboxawebplatformforsystemsbiologyandexpressiondataanalysis
AT wrzodekfinja zbitbioinformaticstoolboxawebplatformforsystemsbiologyandexpressiondataanalysis
AT zellandreas zbitbioinformaticstoolboxawebplatformforsystemsbiologyandexpressiondataanalysis