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dc.contributor.authorWeeratunga, Saroja
dc.contributor.authorHu, Nien-Jen
dc.contributor.authorSimon, Anne
dc.contributor.authorHofmann, Andreas
dc.date.accessioned2017-05-03T15:19:08Z
dc.date.available2017-05-03T15:19:08Z
dc.date.issued2012
dc.date.modified2013-06-11T04:18:21Z
dc.identifier.issn1471-2105
dc.identifier.doi10.1186/1471-2105-13-201
dc.identifier.urihttp://hdl.handle.net/10072/48381
dc.description.abstractBackground: 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.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent819869 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherBioMed Central Ltd.
dc.publisher.placeUnited Kingdom
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom201-1
dc.relation.ispartofpageto201-5
dc.relation.ispartofjournalBMC Bioinformatics
dc.relation.ispartofvolume13
dc.rights.retentionY
dc.subject.fieldofresearchMathematical sciences
dc.subject.fieldofresearchBiological sciences
dc.subject.fieldofresearchStructural biology (incl. macromolecular modelling)
dc.subject.fieldofresearchInformation and computing sciences
dc.subject.fieldofresearchcode49
dc.subject.fieldofresearchcode31
dc.subject.fieldofresearchcode310112
dc.subject.fieldofresearchcode46
dc.titleSDAR: a practical tool for graphical analysis of two-dimensional data
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dcterms.licensehttp://creativecommons.org/licenses/by/2.0
gro.facultyGriffith Sciences, Griffith Institute for Drug Discovery
gro.description.notepublicPage numbers are not for citation purposes. Instead, this article has the unique article number of 201.
gro.rights.copyright© 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.
gro.date.issued2012
gro.hasfulltextFull Text
gro.griffith.authorHofmann, Andreas
gro.griffith.authorWeeratunga, Saroja


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