Two-dimensional data needs to be processed and analysed in almost any experimental laboratory. Based on Java classes developed within the Program Collection for Structural Biology and Biophysical Chemistry (PCSB), the Java application Serial Data Analysis and Regression (SDAR) enables graphical visualisation, transformation and fitting of two-dimensional data.
SDAR is a simple-to-use and portable Java application with an emphasis on intuitive usability and quick access to a variety of laboratory-derived raw data. Data can be manipulated and analysed with respect to common operations. Images of the data plots can be generated in SVG-, TIFF- or PNG-format.
Data import
- Smart ASCII parser with auto detection of data columns
- Import/export of Grace files
- Save/load SDAR sessions as binary file
- Copy-paste data from spreadsheets into SDAR
Graph types
- Continuous
- Symbols with/without error bars
- Bars with/without error bars
Transformation
- Translation of data series in x- or y-direction
- Scaling of x- or y-values
- Change data pitch (omission of data points)
- Addition of a linear function to data series
- Smoothing of data series:
- sliding mean window
- sliding median window
- Savitzky-Golay
Analysis
- Automatic and manual determination of maxima and minima
- Integration
Curve fitting
using either Simplex or Levenberg-Marquardt minimisation, or manual adjustment. It is also possible to mask individual data points.
- Burst kinetics
- Dose-response/logistic EC50
- Dose-response/logistic IC50
- Exponential
- Gaussian
- Hill
- Hill with linear background
- Langmuir
- Linear
- Michaelis-Menten
- Sigmoid
Miscellaneous
- Titles and legends can be formatted using HTML tags
- Grace export: HTML tags are translated to Grace formatting
- Grace import: Grace formatting commands are translated to HTML tags
Baseline correction (Transform Y - Baseline linear)
Correction of drift using the linear baseline feature.
Determination of maxima (Analysis - Maxima)
Automatic detection and manual editing of maxima in a chromatogram.
Fitting of multiple Gaussians (Curve fitting - Gaussian)
Automated and subsequent manual fitting of Gaussians to chromatogram peaks (requires setting of maxima).
Fitting of dose response data (Curve fitting - IC50)
Automated and subsequent manual fitting of dose response data displayed with logarithmic x-axis.
When using this program, please cite:
Weeratunga, S.K., Hu, N.J., Simon, A., Hofmann, A. (2012) SDAR: a practical tool for graphical analysis of two-dimensional data. BMC Bioinformatics 13, 201.