Provided by: gromacs-data_4.6.5-1build1_all 
NAME
g_cluster - clusters structures
VERSION 4.6.5
SYNOPSIS
g_cluster -f traj.xtc -s topol.tpr -n index.ndx -dm rmsd.xpm -o rmsd-clust.xpm -g
cluster.log -dist rmsd-dist.xvg -ev rmsd-eig.xvg -sz clust-size.xvg -tr clust-trans.xpm
-ntr clust-trans.xvg -clid clust-id.xvg -cl clusters.pdb -[no]h -[no]version -nice int -b
time -e time -dt time -tu enum -[no]w -xvg enum -[no]dista -nlevels int -cutoff real
-[no]fit -max real -skip int -[no]av -wcl int -nst int -rmsmin real -method enum
-minstruct int -[no]binary -M int -P int -seed int -niter int -kT real -[no]pbc
DESCRIPTION
g_cluster can cluster structures using several different methods. Distances between
structures can be determined from a trajectory or read from an .xpm matrix file with the
-dm option. RMS deviation after fitting or RMS deviation of atom-pair distances can be
used to define the distance between structures.
single linkage: add a structure to a cluster when its distance to any element of the
cluster is less than cutoff.
Jarvis Patrick: add a structure to a cluster when this structure and a structure in the
cluster have each other as neighbors and they have a least P neighbors in common. The
neighbors of a structure are the M closest structures or all structures within cutoff.
Monte Carlo: reorder the RMSD matrix using Monte Carlo.
diagonalization: diagonalize the RMSD matrix.
gromos: use algorithm as described in Daura et al. ( Angew. Chem. Int. Ed. 1999, 38,
pp 236-240). Count number of neighbors using cut-off, take structure with largest number
of neighbors with all its neighbors as cluster and eliminate it from the pool of clusters.
Repeat for remaining structures in pool.
When the clustering algorithm assigns each structure to exactly one cluster (single
linkage, Jarvis Patrick and gromos) and a trajectory file is supplied, the structure with
the smallest average distance to the others or the average structure or all structures for
each cluster will be written to a trajectory file. When writing all structures, separate
numbered files are made for each cluster.
Two output files are always written:
-o writes the RMSD values in the upper left half of the matrix and a graphical depiction
of the clusters in the lower right half When -minstruct = 1 the graphical depiction is
black when two structures are in the same cluster. When -minstruct 1 different colors
will be used for each cluster.
-g writes information on the options used and a detailed list of all clusters and their
members.
Additionally, a number of optional output files can be written:
-dist writes the RMSD distribution.
-ev writes the eigenvectors of the RMSD matrix diagonalization.
-sz writes the cluster sizes.
-tr writes a matrix of the number transitions between cluster pairs.
-ntr writes the total number of transitions to or from each cluster.
-clid writes the cluster number as a function of time.
-cl writes average (with option -av) or central structure of each cluster or writes
numbered files with cluster members for a selected set of clusters (with option -wcl,
depends on -nst and -rmsmin). The center of a cluster is the structure with the smallest
average RMSD from all other structures of the cluster.
FILES
-f traj.xtc Input, Opt.
Trajectory: xtc trr trj gro g96 pdb cpt
-s topol.tpr Input, Opt.
Structure+mass(db): tpr tpb tpa gro g96 pdb
-n index.ndx Input, Opt.
Index file
-dm rmsd.xpm Input, Opt.
X PixMap compatible matrix file
-o rmsd-clust.xpm Output
X PixMap compatible matrix file
-g cluster.log Output
Log file
-dist rmsd-dist.xvg Output, Opt.
xvgr/xmgr file
-ev rmsd-eig.xvg Output, Opt.
xvgr/xmgr file
-sz clust-size.xvg Output, Opt.
xvgr/xmgr file
-tr clust-trans.xpm Output, Opt.
X PixMap compatible matrix file
-ntr clust-trans.xvg Output, Opt.
xvgr/xmgr file
-clid clust-id.xvg Output, Opt.
xvgr/xmgr file
-cl clusters.pdb Output, Opt.
Trajectory: xtc trr trj gro g96 pdb cpt
OTHER OPTIONS
-[no]hno
Print help info and quit
-[no]versionno
Print version info and quit
-nice int 19
Set the nicelevel
-b time 0
First frame (ps) to read from trajectory
-e time 0
Last frame (ps) to read from trajectory
-dt time 0
Only use frame when t MOD dt = first time (ps)
-tu enum ps
Time unit: fs, ps, ns, us, ms or s
-[no]wno
View output .xvg, .xpm, .eps and .pdb files
-xvg enum xmgrace
xvg plot formatting: xmgrace, xmgr or none
-[no]distano
Use RMSD of distances instead of RMS deviation
-nlevels int 40
Discretize RMSD matrix in this number of levels
-cutoff real 0.1
RMSD cut-off (nm) for two structures to be neighbor
-[no]fityes
Use least squares fitting before RMSD calculation
-max real -1
Maximum level in RMSD matrix
-skip int 1
Only analyze every nr-th frame
-[no]avno
Write average iso middle structure for each cluster
-wcl int 0
Write the structures for this number of clusters to numbered files
-nst int 1
Only write all structures if more than this number of structures per cluster
-rmsmin real 0
minimum rms difference with rest of cluster for writing structures
-method enum linkage
Method for cluster determination: linkage, jarvis-patrick, monte-carlo,
diagonalization or gromos
-minstruct int 1
Minimum number of structures in cluster for coloring in the .xpm file
-[no]binaryno
Treat the RMSD matrix as consisting of 0 and 1, where the cut-off is given by -cutoff
-M int 10
Number of nearest neighbors considered for Jarvis-Patrick algorithm, 0 is use cutoff
-P int 3
Number of identical nearest neighbors required to form a cluster
-seed int 1993
Random number seed for Monte Carlo clustering algorithm
-niter int 10000
Number of iterations for MC
-kT real 0.001
Boltzmann weighting factor for Monte Carlo optimization (zero turns off uphill steps)
-[no]pbcyes
PBC check
SEE ALSO
gromacs(7)
More information about GROMACS is available at <http://www.gromacs.org/>.
Mon 2 Dec 2013 g_cluster(1)