Biological Rhythms Analysis Software System

Biological Rhythms Analysis Software System, or BRASS, is a Microsoft Excel workbook for the analysis and display of rhythmic data series.


Many in the circadian biology community already use the FFT NLLS suite of programs, written by Dr. Martin Straume (formerly of the Centre for Biomathematical Technology, University of Virginia; now of COBRA LLC) in order to estimate period and phase values from rhythmic experimental data. We have developed a user interface to act as a front end to these programs. BRASS will import data from most of the data acquisition packages commonly used in plant circadian research, such as Kujata, Metamorph, Night Owl and Topcount, and also from a generic block of data. Our program will then automatically run FFT-NLLS on this data, and import the results back into MS Excel. BRASS also contains functions to perform statistical analysis of results, and to enable the rapid production of charts and graphs. 

New: Brass 3.0 includes a new rhythm analysis method developed by Paul Brown and David Rand, particularly to analyse phase and waveform properties of entrained rhythms. mFourfit is independent of FFT-NLLS. mFourfit was written in Matlab and compiled from Matlab version 7.1 (release 14), using Matlab compiler version 4.3. Matlab version 7.1 or later is required to run the mFourfit analysis method, or alternatively the correct version of the Matlab Component library is required. To load the library, you need the 102 Megabyte (!) file, MCRInstaller.exe (our version is dated 11/08/2005).

BRASS will run under MS Windows 98, 2000 Pro, but all new development is for the Windows XP version.


Before downloading, we'd be grateful if you would spend a moment entering a few details to allow us to build a list of BRASS users. This will help us to keep everyone informed of updates.

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Please email p.e.brown[at]warwick.ac.uk if you experience any problems downloading.

Software on this site is provided free of charge for academic research without guarantees or support either explicit or implied.