My interest is on the structural and physical characteristics of membranes and membrane proteins. Below you will find interesting links related to my research.
My work is supported in large part by the National Sciences and Engineering Research Council of Canada, and most of my experiments are carried out at the Canadian Neutron Beam Centre. I also serve on the Board of Directors for the Candian Institute for Neutron Scattering.
|Michelle Przedborski (PhD 2017)|
|Brad Van Oosten (PhD 2016)||Drew Marquardt (PhD 2014)|
|Feryaal A.(BSc 2016)||Jill E.(BSc 2014)|
|Panteha Razavi (MSc 2009)|
Explore the various mesophases formed by "bicelle" mixtures of long and short chain lipids.
A structural study of the myristoylated peptide from the N-terminus of ARF-1.
The relocation of cholesterol in poly-unsaturated lipid membranes.
|I have, for some time, the goal to analyse reflectometry data on soft materials, where the surface roughness is quite high, and the layers are thin or inhomogeneous, and the data may incorporate multiple contrasts. There are many suggestions in the literature for how to analyse these types of data, but software is highly limited in availability or generality.||Updated May 2008|
Yanera (Yet Another NEutron Reflectivity Analyzer) is a program that can be very broadly used for simulation and fitting of neutron and x-ray reflectivity data. Any number data sets can be fit simultaneously, using a variety of models.
The link to the right leads to documentation and download for a fairly extensive, stable, and easy to use implementation of Parratt's method. Some features:
Updates: April, 2008
|The original program yanera is based on is here. Development has stopped for it.||Parratt|
|With this link, you can view a generic framework for using the Gnu Scientific Library for fitting data. It is designed to use mulitple fitting functions that do not have analytical derivatives. The framework is very general, and it allows the choice of least squares, multidimensional minimization, as well as simulated annealing.||Fitting data with the GSL|