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_name
BMC Bioinformaticsjournal_title
BMC bioinformaticsauthors
Weeratunga S,Hu NJ,Simon A,Hofmann Adoi
10.1186/1471-2105-13-201subject
Has Abstractpub_date
2012-08-14 00:00:00pages
201issn
1471-2105pii
1471-2105-13-201journal_volume
13pub_type
杂志文章abstract:BACKGROUND:Predicting the deleteriousness of observed genomic variants has taken a step forward with the introduction of the Combined Annotation Dependent Depletion (CADD) approach, which trains a classifier on the wealth of available human genomic information. This raises the question whether it can be done with less ...
journal_title:BMC bioinformatics
pub_type: 杂志文章
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更新日期:2018-10-12 00:00:00
abstract:BACKGROUND:Analysis of cellular processes with microscopic bright field defocused imaging has the advantage of low phototoxicity and minimal sample preparation. However bright field images lack the contrast and nuclei reporting available with florescent approaches and therefore present a challenge to methods that segme...
journal_title:BMC bioinformatics
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abstract:BACKGROUND:Many Bioinformatics studies begin with a multiple sequence alignment as the foundation for their research. This is because multiple sequence alignment can be a useful technique for studying molecular evolution and analyzing sequence structure relationships. RESULTS:In this paper, we have proposed a Vertical...
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pub_type: 杂志文章
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pub_type: 杂志文章
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更新日期:2012-08-28 00:00:00
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更新日期:2014-05-09 00:00:00
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更新日期:2008-01-25 00:00:00
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更新日期:2005-01-01 00:00:00
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更新日期:2005-07-15 00:00:00
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更新日期:2007-06-26 00:00:00
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pub_type: 杂志文章
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pub_type: 杂志文章
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journal_title:BMC bioinformatics
pub_type: 杂志文章
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更新日期:2010-10-28 00:00:00
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更新日期:2020-06-15 00:00:00
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