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PCA (version 2.3.4)
Default: No

What it does

Principal component analysis (PCA) can be used to determine the relationship between statistically meaningful conformations (major global motions) sampled during the trajectory.


Input

  • Input file in PDB format
  • Input file in DCD format

Output

  • Image (as PNG) of the PCA plot
  • Image (as PNG) of the PCA clustered plot
  • Image (as PNG) of the first principal component plotted on RMSF
  • Tab-separated file of raw data