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SDAR: a practical tool for graphical analysis of two-dimensional data

BACKGROUND: Two-dimensional data needs to be processed and analysed in almost any experimental laboratory. Some tasks in this context may be performed with generic software such as spreadsheet programs which are available ubiquitously, others may require more specialised software that requires paid...

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Detalles Bibliográficos
Autores principales: Weeratunga, Saroja, Hu, Nien-Jen, Simon, Anne, Hofmann, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3480940/
https://www.ncbi.nlm.nih.gov/pubmed/22892030
http://dx.doi.org/10.1186/1471-2105-13-201
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author Weeratunga, Saroja
Hu, Nien-Jen
Simon, Anne
Hofmann, Andreas
author_facet Weeratunga, Saroja
Hu, Nien-Jen
Simon, Anne
Hofmann, Andreas
author_sort Weeratunga, Saroja
collection PubMed
description BACKGROUND: Two-dimensional data needs to be processed and analysed in almost any experimental laboratory. Some tasks in this context may be performed with generic software such as spreadsheet programs which are available ubiquitously, others may require more specialised software that requires paid licences. Additionally, more complex software packages typically require more time by the individual user to understand and operate. Practical and convenient graphical data analysis software in Java with a user-friendly interface are rare. RESULTS: We have developed SDAR, a Java application to analyse two-dimensional data with an intuitive graphical user interface. A smart ASCII parser allows import of data into SDAR without particular format requirements. The centre piece of SDAR is the Java class GraphPanel which provides methods for generic tasks of data visualisation. Data can be manipulated and analysed with respect to the most common operations experienced in an experimental biochemical laboratory. Images of the data plots can be generated in SVG-, TIFF- or PNG-format. Data exported by SDAR is annotated with commands compatible with the Grace software. CONCLUSION: Since SDAR is implemented in Java, it is truly cross-platform compatible. The software is easy to install, and very convenient to use judging by experience in our own laboratories. It is freely available to academic users at http://www.structuralchemistry.org/pcsb/. To download SDAR, users will be asked for their name, institution and email address. A manual, as well as the source code of the GraphPanel class can also be downloaded from this site.
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spelling pubmed-34809402012-10-27 SDAR: a practical tool for graphical analysis of two-dimensional data Weeratunga, Saroja Hu, Nien-Jen Simon, Anne Hofmann, Andreas BMC Bioinformatics Software BACKGROUND: Two-dimensional data needs to be processed and analysed in almost any experimental laboratory. Some tasks in this context may be performed with generic software such as spreadsheet programs which are available ubiquitously, others may require more specialised software that requires paid licences. Additionally, more complex software packages typically require more time by the individual user to understand and operate. Practical and convenient graphical data analysis software in Java with a user-friendly interface are rare. RESULTS: We have developed SDAR, a Java application to analyse two-dimensional data with an intuitive graphical user interface. A smart ASCII parser allows import of data into SDAR without particular format requirements. The centre piece of SDAR is the Java class GraphPanel which provides methods for generic tasks of data visualisation. Data can be manipulated and analysed with respect to the most common operations experienced in an experimental biochemical laboratory. Images of the data plots can be generated in SVG-, TIFF- or PNG-format. Data exported by SDAR is annotated with commands compatible with the Grace software. CONCLUSION: Since SDAR is implemented in Java, it is truly cross-platform compatible. The software is easy to install, and very convenient to use judging by experience in our own laboratories. It is freely available to academic users at http://www.structuralchemistry.org/pcsb/. To download SDAR, users will be asked for their name, institution and email address. A manual, as well as the source code of the GraphPanel class can also be downloaded from this site. BioMed Central 2012-08-14 /pmc/articles/PMC3480940/ /pubmed/22892030 http://dx.doi.org/10.1186/1471-2105-13-201 Text en Copyright ©2012 Weeratunga 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
Weeratunga, Saroja
Hu, Nien-Jen
Simon, Anne
Hofmann, Andreas
SDAR: a practical tool for graphical analysis of two-dimensional data
title SDAR: a practical tool for graphical analysis of two-dimensional data
title_full SDAR: a practical tool for graphical analysis of two-dimensional data
title_fullStr SDAR: a practical tool for graphical analysis of two-dimensional data
title_full_unstemmed SDAR: a practical tool for graphical analysis of two-dimensional data
title_short SDAR: a practical tool for graphical analysis of two-dimensional data
title_sort sdar: a practical tool for graphical analysis of two-dimensional data
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3480940/
https://www.ncbi.nlm.nih.gov/pubmed/22892030
http://dx.doi.org/10.1186/1471-2105-13-201
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