Related Experiment Video
Updated: Jun 2, 2026
09:51
Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
Published on: July 16, 2017
datPAV--an online processing, analysis and visualization tool for exploratory investigation of experimental data
Ambarish Biswas1, Raghuraj Rao, Shivshankar Umashankar
1Singapore-Delft Water Alliance, National University of Singapore, Singapore 117576.
Bioinformatics (Oxford, England)
|April 19, 2011
Summary
Data processing, analysis and visualization (datPAV) is a free, platform-independent software for experimentalists to rapidly assess data characteristics. This tool aids in exploring data organization, detecting errors, and performing statistical analyses, generating publication-ready graphics.
Area of Science:
- Scientific data analysis
- Data visualization tools
- Experimental data processing
Background:
- datPAV is freely available for academic use.
- Accessible via http://www.sdwa.nus.edu.sg/datPAV/.
Purpose of the Study:
- To introduce datPAV as a versatile tool for experimental data.
- To enable rapid assessment of general data characteristics.
- To support detailed data investigation through reusable workflows.
Main Methods:
- Generic software for processing and visualizing data matrices.
- Exploration of data organization and error detection.
- Support for basic statistical analyses.
Main Results:
- Enables quick assessment of data characteristics.
- Facilitates creation of step-by-step data processing/analysis workflows.
- Provides publication-ready graphics for data visualization.
Conclusions:
- datPAV is a valuable exploratory tool for experimentalists.
- The software supports comprehensive data analysis from initial assessment to detailed investigation.
- Demonstrated applications in metabolomics, environmental, and hydrodynamic data analysis highlight its versatility.
