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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:...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
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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. |
format | Text |
id | pubmed-2949897 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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