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

Loading...
Thumbnail Image
File version
Author(s)
Weeratunga, Saroja
Hu, Nien-Jen
Simon, Anne
Hofmann, Andreas
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
2012
Size

819869 bytes

File type(s)

application/pdf

Location
Abstract

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.

Journal Title

BMC Bioinformatics

Conference Title
Book Title
Edition
Volume

13

Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement

© 2012 Weeratunga et al; licensee BioMed Central Ltd. 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.

Item Access Status
Note

Page numbers are not for citation purposes. Instead, this article has the unique article number of 201.

Access the data
Related item(s)
Subject

Mathematical sciences

Biological sciences

Structural biology (incl. macromolecular modelling)

Information and computing sciences

Persistent link to this record
Citation
Collections