g_covar.
But you can do this yourself with a small script on the -ascii output.
Berk
> Date: Tue, 19 Jan 2010 13:23:30 +0100
> Subject: Re: [gmx-users] dynamic cross correlation map (DCCM)
> From: tsje...@gmail.com
> To: jalem...@vt.edu; gmx-users@gromacs.org
> CC:
>
>
Hi,
Well I'd say that 'DCCM' refers to the matrix (map) of correlations
and not to that of covariances. More specifically, it refers to
correlations of positional fluctuations. PCA, on the other hand,
refers to the extraction of components or axes which better describe
the data than the original a
leila karami wrote:
Hi
I want to obtain dynamic cross correlation map (DCCM). I used following
command for obtaining covariance matrix.
g_covar -f traj.xtc -s topol.tpr -o eigenval.xvg -v eigenvec.trr -l
covar.log -xpm covar.xpm.
my system consists protein of 70 aminoacids. I want surve
Hi
I want to obtain dynamic cross correlation map (DCCM). I used following
command for obtaining covariance matrix.
g_covar -f traj.xtc -s topol.tpr -o eigenval.xvg -v eigenvec.trr -l
covar.log -xpm covar.xpm.
my system consists protein of 70 aminoacids. I want survey correlated and
anti-correla
Hi
I want to obtain dynamic cross correlation map (DCCM). I used following
command for obtaining covariance matrix.
g_covar -f traj.xtc -s topol.tpr -o eigenval.xvg -v eigenvec.trr -l
covar.log -xpm covar.xpm.
my system consists protein of 70 aminoacids. I want survey correlated and
anti-correla
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