Journal Article

DataPflex: a MATLAB-based tool for the manipulation and visualization of multidimensional datasets

Bart S. Hendriks and Christopher W. Espelin

in Bioinformatics

Volume 26, issue 3, pages 432-433
Published in print February 2010 | ISSN: 1367-4803
Published online December 2009 | e-ISSN: 1460-2059 | DOI: http://dx.doi.org/10.1093/bioinformatics/btp667
DataPflex: a MATLAB-based tool for the manipulation and visualization of multidimensional datasets

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Motivation: DataPflex is a MATLAB-based application that facilitates the manipulation and visualization of multidimensional datasets. The strength of DataPflex lies in the intuitive graphical user interface for the efficient incorporation, manipulation and visualization of high-dimensional data that can be generated by multiplexed protein measurement platforms including, but not limited to Luminex or Meso-Scale Discovery. Such data can generally be represented in the form of multidimensional datasets [for example (time × stimulation × inhibitor × inhibitor concentration × cell type × measurement)]. For cases where measurements are made in a combinational fashion across multiple dimensions, there is a need for a tool to efficiently manipulate and reorganize such data for visualization. DataPflex accepts data consisting of up to five arbitrary dimensions in addition to a measurement dimension. Data are imported from a simple .xls format and can be exported to MATLAB or .xls. Data dimensions can be reordered, subdivided, merged, normalized and visualized in the form of collections of line graphs, bar graphs, surface plots, heatmaps, IC50’s and other custom plots. Open source implementation in MATLAB enables easy extension for custom plotting routines and integration with more sophisticated analysis tools.

Availability: DataPflex is distributed under the GPL license (http://www.gnu.org/licenses/) together with documentation, source code and sample data files at: http://code.google.com/p/datapflex.

Contact: DataPflexinfo@gmail.com; bhendriks@merrimackpharma.com

Supplementary information: Supplementary data available at Bioinformatics online.

Journal Article.  1328 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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