A Downloadable Software Package
For Processing and Analyses of Circular Dichroism Spectroscopic Data
CDtoolX is a new, user-friendly, free-to-download-and-use software program that enables processing, displaying, archiving, calibrating, comparisons, and analyses of circular dichroism (CD) and synchrotron radiation circular dichroism (SRCD) spectroscopic data.
Please cite the following if you use any aspect of this programme for processing or analysing your data:
Miles, A.J., and Wallace, B.A. (2018) CDtoolX, a Downloadable Software Package
for Processing and Analyses of Circular Dichroism Spectroscopic Data, Protein Science DOI: 10.1002/pro.3474
Versions: CDtoolX (click here to download) is for Windows 10 and Windows 8 systems, and is usable on OsX and Linux systems with Windows 10 emulators. It is best to use third party zip programmes such as 7zip to extract the files. Windows zip functions do not always work
Practice files are included in the test data directory.
CDtoolX7 (click here to download) is for Windows 7operating systems. It is best to use third party zip programmes such as 7zip to extract the files. Windows zip functions do not always work
Practice files are included in the test data directory
(note: these replace and enhance the earlier CDtool software package(Lees, et al, 2004) developed for earlier operating systems).
For the original CDTool page including down load (click here)
Database template (click here to download)
- Click here to be taken to the online version of the Protein Science paper.
- Instructions for use are included by clicking the “Help” tab on the top left panel of the software.
- Video on how to use the Singular Value Deconvolution function can be accessed by clicking here.
- Video on how to use the zoom function can be accessed by clicking here
-Update information here
Contact/Feedback: firstname.lastname@example.org. Please note that we cannot provide advise about installation on individual computers/systems.
This software was developed by Dr. Andy Miles and Prof. B.A. Wallace at the Institute of Structural and Molecular Biology, Birkbeck College, University of London
under a grant from the Bioinformatics and Biological Resources Fund of the U.K. Biotechnology and Biological Sciences Research Council (BBSRC).