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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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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 |
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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 |
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