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Whiteboard: a framework for the programmatic visualization of complex biological analyses.

Görel Sundström¹, Neda Zamani², Manfred G Grabherr¹

¹Department of Medical Biochemistry and Microbiology, Bioinformatics Infrastructure for Life Sciences, Uppsala University, 75123 Uppsala, Sweden, Department of Plant Physiology, Umeå University, 901 87 Umeå, Sweden and Parabase Genomics, 27 Drydock Avenue, Boston MA 02210, USA.

Bioinformatics (Oxford, England)

|February 10, 2015

Summary

This summary is machine-generated.

Whiteboard is a C++ class library for tightly coupling visualization with computation in large dataset analysis. Its source code, documentation, and samples are freely available for use and modification.

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Area of Science:

Computer Science
Data Visualization
Scientific Computing

Background:

Analyzing large and complex datasets requires effective visualization techniques.
Integrating visualization directly with computational processes can enhance data analysis.

Purpose of the Study:

To introduce Whiteboard, a C++ class library designed for integrated data visualization and computation.
To provide a flexible tool for developers working with large datasets.

Main Methods:

Implementation of a C++ class library named Whiteboard.
Focus on tightly coupling visualization with computational tasks.
Making source code, coding samples, and documentation publicly available.

Main Results:

Whiteboard enables seamless integration of visualization within data analysis workflows.
The library facilitates the handling of large and complex datasets through coupled computation and visualization.

Conclusions:

Whiteboard offers a valuable resource for scientific computing and data visualization.
The open-source availability promotes adoption and further development in the field.