Hi Ankitha,
Taking the backbone for analysis doesn't give you more information than
using only C-alphas. These are extremely correlated.
Cheers,
Tsjerk
On Sun, Jun 9, 2013 at 5:28 PM, Ankita naithani ankitanaith...@gmail.comwrote:
Hi Tsjerk,
Thank you so much for the helpful insight. It
Hi Tsjerk,
Thank you so much for the helpful insight. It will surely help in clearing
some basic concepts about eigenvectors and the projections.
Also, since in the end you mentioned about my matrix being derived only
from C-alpha atoms which proves a limitation, would you reckon a backbone
Hi Tsjerk,
[I am reposting it since my previous attachment was unable to proceed I
guess]
Thank you for the reply. I am sorry but I don't have the snapshots with me
as my system was formatted and I lost that information. However, I
performed PCA again on Calpha atoms and this time my matrix is
Hi Ankita,
It is important to use the correct names for things. The projection is the
(scalar) inner product of the configuration (coordinates) with the
eigenvector. This is also named the score of the configuration on the
selected eigenvector. With g_anaeig -proj you get the projection. Each
Hi,
I wanted to know about the eigenvectors and eigenvalues. I recently
performed the principal component analysis (only the backbone into
consideration) on a trajectory of 2000 residues. I obtained 15641
eigenvectors and 17928 eigenvalues. There is a difference in the number,
which I am not
Hi Ankita,
Please provide the commands you've run and the screen output from g_covar.
Cheers,
Tsjerk
On Thu, Jun 6, 2013 at 3:44 PM, Ankita naithani ankitanaith...@gmail.comwrote:
Hi,
I wanted to know about the eigenvectors and eigenvalues. I recently
performed the principal component
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