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GPFrontend and GPGraphics: graphical analysis tools for genetic association studies

BACKGROUND: Most software packages for whole genome association studies are non-graphical, purely text based programs originally designed to run with UNIX-like operating systems. Graphical output is often not intended or supposed to be performed with other command line tools, e.g. gnuplot. RESULTS:...

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Autores principales: Uebe, Steffen, Pasutto, Francesca, Krumbiegel, Mandy, Schanze, Denny, Ekici, Arif B, Reis, André
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2949897/
https://www.ncbi.nlm.nih.gov/pubmed/20858257
http://dx.doi.org/10.1186/1471-2105-11-472
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author Uebe, Steffen
Pasutto, Francesca
Krumbiegel, Mandy
Schanze, Denny
Ekici, Arif B
Reis, André
author_facet Uebe, Steffen
Pasutto, Francesca
Krumbiegel, Mandy
Schanze, Denny
Ekici, Arif B
Reis, André
author_sort Uebe, Steffen
collection PubMed
description BACKGROUND: Most software packages for whole genome association studies are non-graphical, purely text based programs originally designed to run with UNIX-like operating systems. Graphical output is often not intended or supposed to be performed with other command line tools, e.g. gnuplot. RESULTS: Using the Microsoft .NET 2.0 platform and Visual Studio 2005, we have created a graphical software package to analyze data from microarray whole genome association studies, both for a DNA-pooling based approach as well as regular single sample data. Part of this package was made to integrate with GenePool 0.8.2, a previously existing software suite for GNU/Linux systems, which we have modified to run in a Microsoft Windows environment. Further modifications cause it to generate some additional data. This enables GenePool to interact with the .NET parts created by us. The programs we developed are GPFrontend, a graphical user interface and frontend to use GenePool and create metadata files for it, and GPGraphics, a program to further analyze and graphically evaluate output of different WGA analysis programs, among them also GenePool. CONCLUSIONS: Our programs enable regular MS Windows users without much experience in bioinformatics to easily visualize whole genome data from a variety of sources.
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spelling pubmed-29498972010-11-03 GPFrontend and GPGraphics: graphical analysis tools for genetic association studies Uebe, Steffen Pasutto, Francesca Krumbiegel, Mandy Schanze, Denny Ekici, Arif B Reis, André BMC Bioinformatics Software BACKGROUND: Most software packages for whole genome association studies are non-graphical, purely text based programs originally designed to run with UNIX-like operating systems. Graphical output is often not intended or supposed to be performed with other command line tools, e.g. gnuplot. RESULTS: Using the Microsoft .NET 2.0 platform and Visual Studio 2005, we have created a graphical software package to analyze data from microarray whole genome association studies, both for a DNA-pooling based approach as well as regular single sample data. Part of this package was made to integrate with GenePool 0.8.2, a previously existing software suite for GNU/Linux systems, which we have modified to run in a Microsoft Windows environment. Further modifications cause it to generate some additional data. This enables GenePool to interact with the .NET parts created by us. The programs we developed are GPFrontend, a graphical user interface and frontend to use GenePool and create metadata files for it, and GPGraphics, a program to further analyze and graphically evaluate output of different WGA analysis programs, among them also GenePool. CONCLUSIONS: Our programs enable regular MS Windows users without much experience in bioinformatics to easily visualize whole genome data from a variety of sources. BioMed Central 2010-09-21 /pmc/articles/PMC2949897/ /pubmed/20858257 http://dx.doi.org/10.1186/1471-2105-11-472 Text en Copyright ©2010 Uebe et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software
Uebe, Steffen
Pasutto, Francesca
Krumbiegel, Mandy
Schanze, Denny
Ekici, Arif B
Reis, André
GPFrontend and GPGraphics: graphical analysis tools for genetic association studies
title GPFrontend and GPGraphics: graphical analysis tools for genetic association studies
title_full GPFrontend and GPGraphics: graphical analysis tools for genetic association studies
title_fullStr GPFrontend and GPGraphics: graphical analysis tools for genetic association studies
title_full_unstemmed GPFrontend and GPGraphics: graphical analysis tools for genetic association studies
title_short GPFrontend and GPGraphics: graphical analysis tools for genetic association studies
title_sort gpfrontend and gpgraphics: graphical analysis tools for genetic association studies
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2949897/
https://www.ncbi.nlm.nih.gov/pubmed/20858257
http://dx.doi.org/10.1186/1471-2105-11-472
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