def parse_args():
desc = """Generate indexes of fitting solutions."""
p = ArgumentParser(description=desc)
p.add_argument("assembly_name", help="name of the assembly")
p.add_argument("assembly_file", help="assembly file name")
p.add_argument("num_fits", type=int, help="number of fits")
p.add_argument("indexes_file", help="indexes file name")
return p.parse_args()
def parse_args():
desc = """Generate anchors for a density map."""
p = ArgumentParser(description=desc)
p.add_argument("-s", "--size", type=int, dest="size", default=-1,
help="number of residues per bead")
p.add_argument("assembly_file", help="assembly file name")
p.add_argument("anchor_prefix", help="prefix for output anchors file names")
return p.parse_args()
def parse_args():
desc = """
Show the DOMINO merge tree to be used in the alignment procedure
"""
p = ArgumentParser(description=desc)
p.add_argument("assembly_file", help="assembly file name")
p.add_argument("proteomics_file", help="proteomics file name")
p.add_argument("mapping_file", help="mapping file name")
p.add_argument("param_file", help="parameter file name")
return p.parse_args()
def parse_args():
desc = """
Generate a proteomics file automatically from the anchor graph and fitting
results. No interaction data is entered here, but the file can be modified
manually afterwards to add additional proteomics information.
"""
p = ArgumentParser(description=desc)
p.add_argument("assembly_file", help="assembly file name")
p.add_argument("anchors_file", help="anchors file name")
p.add_argument("proteomics_file", help="output proteomics file name")
return p.parse_args()
def parse_args():
parser = ArgumentParser(
description="Plot score distributions of good-scoring models")
parser.add_argument("-show",
action="store_true",
help="Interactively show the plot")
parser.add_argument("score_file",
help="Score file generated by select_good")
parser.add_argument("column",
help="PMI stat file column to plot (or 'all' to "
"plot all columns)")
return parser.parse_args()
def parse_args():
desc = """
Generate a proteomics file automatically from the anchor graph and fitting
results. No interaction data is entered here, but the file can be modified
manually afterwards to add additional proteomics information.
"""
p = ArgumentParser(description=desc)
p.add_argument("assembly_file", help="assembly file name")
p.add_argument("anchors_file", help="anchors file name")
p.add_argument("proteomics_file", help="output proteomics file name")
return p.parse_args()
def parse_args():
desc = """
Given a set of local fits (e.g. generated by fit_fft), the RMSD between each
subunit and a reference orientation is calculated and added to each fitting
file, in the final "RMSD to reference" column. (The original fitting file is
not modified; a new fitting file is created with a '.RMSD' extension.)
Note that the assembly input file must contain a reference PDB filename for
each subunit (in the rightmost column).
"""
p = ArgumentParser(description=desc)
p.add_argument("-d", action="store_true", dest="use_dock",
help="if set the docking transformation is used (and not "
"the fitting transformation)")
p.add_argument("assembly_file", help="assembly file name")
p.add_argument("proteomics_file", help="proteomics file name")
p.add_argument("mapping_file", help="mapping file name")
p.add_argument("param_file", help="parameter file name")
return p.parse_args()
def parse_args():
desc = """
This program builds cyclic symmetric complexes in their density maps."""
parser = ArgumentParser(description=desc)
parser.add_argument("--chimera", dest="chimera", default="", metavar="FILE",
help="the name of the Chimera output file, if desired")
parser.add_argument("param_file", help="parameter file name")
return parser.parse_args()
def parse_args():
desc = """
This program generates the Connolly surface for a given PDB file."""
p = ArgumentParser(description=desc)
p.add_argument("--density", dest="density", default=10.0, type=float,
metavar="D",
help="density of probe points, per cubic angstrom "
"(default 10.0)")
p.add_argument("--radius", dest="rp", default=1.8, type=float,
metavar="R",
help="probe radius in angstroms (default 1.8)")
p.add_argument("pdb", help="input PDB file name")
args = p.parse_args()
return args.pdb, args.density, args.rp
def parse_args():
desc = """
This program generates the Connolly surface for a given PDB file."""
p = ArgumentParser(description=desc)
p.add_argument("--density",
dest="density",
default=10.0,
type=float,
metavar="D",
help="density of probe points, per cubic angstrom "
"(default 10.0)")
p.add_argument("--radius",
dest="rp",
default=1.8,
type=float,
metavar="R",
help="probe radius in angstroms (default 1.8)")
p.add_argument("pdb", help="input PDB file name")
args = p.parse_args()
return args.pdb, args.density, args.rp
def parse_args():
desc = """Fit subunits into a density map with FFT."""
p = ArgumentParser(description=desc)
p.add_argument("-c",
"--cpu",
dest="cpus",
type=int,
default=1,
help="number of cpus to use (default 1)")
p.add_argument("-a",
"--angle",
dest="angle",
type=float,
default=30,
help="angle delta (degrees) for FFT rotational "
"search (default 30)")
p.add_argument("-n",
"--num",
dest="num",
type=int,
default=100,
help="Number of fits to report (default 100)")
p.add_argument("-v",
"--angle_voxel",
dest="angle_voxel",
type=int,
default=10,
help="Number of angles to keep per voxel (default 10)")
p.add_argument("assembly_file", help="assembly file name")
# p.add_argument("-n", "--num", dest="num", type="int",
# default=100,
# help="Number of fits to report"
# "(default 100)")
return p.parse_args()
def parse_args():
desc = """
Fit subunits locally around a combination solution with FFT."""
p = ArgumentParser(description=desc)
p.add_argument("-a",
"--angle",
dest="angle",
type=float,
default=5,
help="angle delta (degrees) for FFT rotational "
"search (default 5)")
p.add_argument("-n",
"--num",
dest="num",
type=int,
default=100,
help="Number of fits to report (default 100)")
p.add_argument("-v",
"--angle_voxel",
dest="angle_voxel",
type=int,
default=10,
help="Number of angles to keep per voxel (default 10)")
p.add_argument("-t",
"--max_trans",
dest="max_trans",
type=float,
default=10.,
help="maximum translational search in A (default 10)")
p.add_argument("-m",
"--max_angle",
dest="max_angle",
type=float,
default=30.,
help="maximum angular search in degrees (default 50)")
p.add_argument("assembly_file", help="assembly file name")
p.add_argument("ref_assembly_file", help="refined assembly file name")
p.add_argument("proteomics_file", help="proteomics file name")
p.add_argument("mapping_file", help="mapping file name")
p.add_argument("combinations_file", help="combinations file name")
p.add_argument("combination_index",
type=int,
help="number of the combination to read from the "
"combinations file")
return p.parse_args()
def parse_args():
parser = ArgumentParser(
description="First stages of analysis for assessing sampling "
"convergence")
parser.add_argument('--sysname',
'-n',
dest="sysname",
help='name of the system',
default="")
parser.add_argument('--path',
'-p',
dest="path",
help='path to the good-scoring models',
default="./")
parser.add_argument('--extension',
'-e',
dest="extension",
help='extension of the file',
choices=['rmf', 'pdb'],
default="rmf")
parser.add_argument('--mode',
'-m',
dest="mode",
help='pyRMSD calculator',
choices=['cuda', 'cpu_omp', 'cpu_serial'],
default="cuda")
parser.add_argument('--cores',
'-c',
dest="cores",
type=int,
help='number of cores for RMSD matrix calculations; '
'only for cpu_omp',
default=1)
parser.add_argument(
'--subunit',
'-su',
dest="subunit",
help='calculate RMSD/sampling and cluster precision/densities '
'etc over this subunit only',
default=None)
parser.add_argument('--align',
'-a',
dest="align",
help='boolean flag to allow superposition of models',
default=False,
action='store_true')
parser.add_argument('--ambiguity',
'-amb',
dest="symmetry_groups",
help='file containing symmetry groups',
default=None)
parser.add_argument(
'--scoreA',
'-sa',
dest="scoreA",
help='name of the file having the good-scoring scores for sample A',
default="scoresA.txt")
parser.add_argument(
'--scoreB',
'-sb',
dest="scoreB",
help='name of the file having the good-scoring scores for sample B',
default="scoresB.txt")
parser.add_argument('--rmfA',
'-ra',
dest="rmf_A",
help='RMF file with conformations from Sample A',
default=None)
parser.add_argument('--rmfB',
'-rb',
dest="rmf_B",
help='RMF file with conformations from Sample B',
default=None)
parser.add_argument('--gridsize',
'-g',
dest="gridsize",
type=float,
help='grid size for calculating sampling precision',
default=10.0)
parser.add_argument(
'--skip',
'-s',
dest="skip_sampling_precision",
help="This option will bypass the calculation of sampling "
"precision. This option needs to be used with the clustering "
"threshold option. Otherwise by default, sampling precision "
"is calculated and the clustering threshold is the "
"calculated sampling precision.",
default=False,
action='store_true')
parser.add_argument(
'--cluster_threshold',
'-ct',
dest="cluster_threshold",
type=float,
help='final clustering threshold to visualize clusters. Assumes '
'that the user has previously calculated sampling precision '
'and wants clusters defined at a threshold higher than the '
'sampling precision for ease of analysis (lesser number of '
'clusters).',
default=30.0)
parser.add_argument('--voxel',
'-v',
dest="voxel",
type=float,
help='voxel size for the localization densities',
default=5.0)
parser.add_argument('--density_threshold',
'-dt',
type=float,
dest="density_threshold",
help='threshold for localization densities',
default=20.0)
parser.add_argument(
'--density',
'-d',
dest="density",
help='file containing dictionary of density custom ranges',
default=None)
parser.add_argument('--gnuplot',
'-gp',
dest="gnuplot",
help="plotting automatically with gnuplot",
default=False,
action='store_true')
return parser.parse_args()
def parse_args():
desc = """
This script, given the structure of a single subunit and the Chimera
transformations file, applies the transformations to generate a number of
complete models."""
p = ArgumentParser(description=desc)
p.add_argument('subunit', help="subunit PDB, the same given to MultiFit")
p.add_argument('degree', type=int, help="Cn symmetry degree")
p.add_argument('transform_file',
help="MultiFit output file in Chimera output format")
p.add_argument('num_models', type=int, help="number of output models")
p.add_argument('output',
help="solution filename prefix; solutions are written "
"as <output>.i.pdb")
return p.parse_args()
def parse_args():
desc = """
Build the parameters files for MultiFit.
Notice: If you have negative numbers as input, add -- as the first parameter,
so that the numbers are not treated as options."""
p = ArgumentParser(description=desc)
p.add_argument("-i", "--asmb_input", dest="asmb_input",
default="asmb.input",
help="the name of the MultiFit input file. The default "
"filename is asmb.input")
p.add_argument("-m", "--model", dest="model", default="asmb.model",
help="the base filename of the solutions output by "
"MultiFit (.X.pdb, where X is the solution number, "
"is suffixed to create each output file name). "
"The default filename is asmb.model")
p.add_argument("-a", "--anchor_dir", dest="anchor_dir", default="./",
help="the name of the directory to store anchor points. "
"The default is ./")
p.add_argument("-f", "--fit_dir", dest="fit_dir", default="./",
help="the name of the directory to store fitting "
"solutions. The default is ./")
p.add_argument("asmb_name",
help="name of the assembly (used as the prefix for "
"several MultiFit files)")
p.add_argument("subunit_file",
help="file containing a list of subunit PDB file names")
p.add_argument("coarse_level", type=int,
help="level of coarse graining (number of residues "
"per anchor)")
p.add_argument("density", help="density map file name")
p.add_argument("resolution", type=float,
help="density map resolution, in angstroms")
p.add_argument("spacing", type=float,
help="density map voxel spacing, in angstroms")
p.add_argument("threshold", type=float,
help="the threshold of the density map, used for "
"PCA matching")
p.add_argument("origin_x", type=float,
help="density map origin X coordinate")
p.add_argument("origin_y", type=float,
help="density map origin Y coordinate")
p.add_argument("origin_z", type=float,
help="density map origin Z coordinate")
return p.parse_args()
def usage():
usage = """%prog [options] <asmb> <asmb.proteomics> <asmb.mapping>
<alignment.params> <combinatins> <score combinations [output]>
Score each of a set of combinations.
"""
p = ArgumentParser(usage)
p.add_argument("-m",
"--max",
dest="max",
type=int,
default=999999999,
help="maximum number of fits considered")
p.add_argument("assembly_file", help="assembly file name")
p.add_argument("proteomics_file", help="proteomics file name")
p.add_argument("mapping_file", help="mapping file name")
p.add_argument("param_file", help="parameter file name")
p.add_argument("combinations_file", help="combinations file name")
p.add_argument("scores_file", help="output scores file name")
return p.parse_args()
def parse_args():
desc = """Write output models."""
p = ArgumentParser(description=desc)
p.add_argument("-m",
"--max",
type=int,
dest="max",
default=None,
help="maximum number of models to write")
p.add_argument("assembly_file", help="assembly file name")
p.add_argument("proteomics_file", help="proteomics file name")
p.add_argument("mapping_file", help="mapping file name")
p.add_argument("combinations_file", help="combinations file name")
p.add_argument("model_prefix", help="model output file name prefix")
return p.parse_args()
def parse_args():
desc = """Generate indexes of fitting solutions."""
p = ArgumentParser(description=desc)
p.add_argument("assembly_name", help="name of the assembly")
p.add_argument("assembly_file", help="assembly file name")
p.add_argument("num_fits", type=int, help="number of fits")
p.add_argument("indexes_file", help="indexes file name")
return p.parse_args()
def parse_args():
desc = """%prog [options] <parameter file> <transformations file>
<reference PDB>
This program calculates the RMSD between modeled cyclic symmetric complexes and
the reference structure. The RMSD and cross correlation of each complex is
written into a file called rmsd.output.
Notice: no structural alignment is performed!"""
p = ArgumentParser(description=desc)
p.add_argument("--vec",
dest="vec",
default="",
metavar="FILE",
help="output the RMSDs as a vector into the named "
"file, if specified")
p.add_argument("--start",
dest="start",
default=0,
type=int,
help="first model in transformations file to compare "
"with the reference (by default, model 0)")
p.add_argument("--end",
dest="end",
default=-1,
type=int,
help="last model in transformations file to compare "
"with the reference (by default, the final model)")
p.add_argument("param_file", help="parameter file name")
p.add_argument("trans_file", help="transformations file name")
p.add_argument("ref_pdb", help="reference PDB file name")
return p.parse_args()
def parse_args():
desc = """
Write assembly transformation file in other formats.
""" + "\n\n".join(x.__doc__ for x in formatters.values())
p = ArgumentParser(description=desc)
p.add_argument("-f",
"--format",
default='chimera',
choices=list(formatters.keys()),
help="type of output to generate (" +
", ".join(formatters.keys()) + "; default: chimera)")
p.add_argument("assembly_file", help="assembly file name")
p.add_argument("combinations_file", help="combinations file name")
p.add_argument("output_file", help="output file name")
return p.parse_args()
def parse_args():
parser = ArgumentParser(description="Show fields in a PMI stat file.")
parser.add_argument("statfile", help="Name of the PMI stat file")
return parser.parse_args()
def usage():
desc = """
Clustering of assembly solutions.
This program uses the Python 'fastcluster' module, which can be obtained from
http://math.stanford.edu/~muellner/fastcluster.html
"""
p = ArgumentParser(description=desc)
p.add_argument("-m",
"--max",
type=int,
dest="max",
default=999999999,
help="maximum solutions to consider")
p.add_argument("-r",
"--rmsd",
type=float,
dest="rmsd",
default=5,
help="maximum rmsd within a cluster")
p.add_argument("assembly_file", help="assembly file name")
p.add_argument("proteomics_file", help="proteomics file name")
p.add_argument("mapping_file", help="mapping file name")
p.add_argument("param_file", help="parameter file name")
p.add_argument("combinations_file", help="combinations file name")
p.add_argument("cluster_file", help="output clusters file name")
return p.parse_args()
def parse_args():
parser = ArgumentParser(
description="List and extract good-scoring models from a set of "
"sampling runs. Example of usage: "
"%(prog)s -rd <run_directory_for_sampling> -rp <run_prefix> -sl "
"ExcludedVolumeSphere_None GaussianEMRestraint_None "
"-pl CrossLinkingMassSpectrometryDataScore|"
"XLDSS CrossLinkingMassSpectrometryDataScore|XLEDC -agl -9999999.0 "
"-99999.0 -aul 99999999.0 999999.0 -mlt 0 0 -mut 0 0. Flag -h "
"for more details.")
parser.add_argument("-rd", "--run_directory", dest="run_dir",
help="directory in which sampling results are stored",
required=True)
parser.add_argument("-rp", "--run_prefix", dest="run_prefix",
help="prefix of runs", required=True)
parser.add_argument("-sl", "--selection_keywords_list", nargs='+',
type=str, dest="selection_keywords_list",
help="list of stat file keywords corresponding to "
"selection criteria")
parser.add_argument("-pl", "--printing_keywords_list", nargs='+',
type=str, dest="printing_keywords_list",
help="list of stat file keywords whose values are "
"printed out for selected models")
# thresholds only apply to selection keywords
parser.add_argument("-alt", "--aggregate_lower_thresholds", nargs='+',
type=float, dest="aggregate_lower_thresholds",
help="aggregate lower thresholds")
parser.add_argument("-aut", "--aggregate_upper_thresholds", nargs='+',
type=float, dest="aggregate_upper_thresholds",
help="aggregate upper thresholds")
parser.add_argument("-mlt", "--member_lower_thresholds", nargs='+',
type=float, dest="member_lower_thresholds",
help="member lower thresholds")
parser.add_argument("-mut", "--member_upper_thresholds", nargs='+',
type=float, dest="member_upper_thresholds",
help="member upper thresholds")
parser.add_argument("-e", "--extract", default=False, dest="extract",
action='store_true',
help="Type -e to extract all good scoring model "
"RMFs from the trajectory files")
parser.add_argument("-sf", "--score_file", default="scores", type=str,
dest="score_file_prefix",
help="Score file prefix for samples A and B. "
"Default is %(default)r")
result = parser.parse_args()
return result
def parse_args():
desc = """Align proteomics graph with the EM map."""
p = ArgumentParser(description=desc)
p.add_argument("-m", "--max", type=int, dest="max", default=999999999,
help="maximum number of fits considered")
p.add_argument("assembly_file", help="assembly file name")
p.add_argument("proteomics_file", help="proteomics file name")
p.add_argument("mapping_file", help="mapping file name")
p.add_argument("param_file", help="parameter file name")
p.add_argument("combinations_file", help="combinations file name (output)")
p.add_argument("scores_file", help="fitting scores file name (output)")
return p.parse_args()
def parse_args():
desc = """
Segments all voxels in the given density map, above the given threshold,
into the given number of clusters, and links between neighboring ones.
The cluster centers are written out into a single output PDB file, each
as a single CA atom.
"""
p = ArgumentParser(description=desc)
p.add_argument("--apix", type=float, default=None,
help="map spacing, in angstroms/pix (default: read "
"from MRC file)")
p.add_argument("-x", "--x", type=float, default=None,
help="X origin of the density map")
p.add_argument("-y", "--y", type=float, default=None,
help="Y origin of the density map")
p.add_argument("-z", "--z", type=float, default=None,
help="Z origin of the density map")
p.add_argument("--cmm", default="",
help="write results in CMM format")
p.add_argument("--seg", default="",
help="write out each cluster as an MRC file called "
"<seg>_.mrc, and write load_segmentation.cmd file "
"to easily load all segments into Chimera")
p.add_argument("--txt", default="",
help="write anchor points file in text format")
p.add_argument("density", help="density map filename (in MRC format)")
p.add_argument("num_cluster", type=int,
help="number of clusters")
p.add_argument("threshold", type=float,
help="density threshold")
p.add_argument("output", help="output PDB file name")
return p.parse_args()
def parse_args():
desc = """Fit subunits into a density map with FFT."""
p = ArgumentParser(description=desc)
p.add_argument("-c", "--cpu", dest="cpus", type=int, default=1,
help="number of cpus to use (default 1)")
p.add_argument("-a", "--angle", dest="angle", type=float, default=30,
help="angle delta (degrees) for FFT rotational "
"search (default 30)")
p.add_argument("-n", "--num", dest="num", type=int,
default=100, help="Number of fits to report (default 100)")
p.add_argument("-v", "--angle_voxel", dest="angle_voxel", type=int,
default=10,
help="Number of angles to keep per voxel (default 10)")
p.add_argument("assembly_file", help="assembly file name")
# p.add_argument("-n", "--num", dest="num", type="int",
# default=100,
# help="Number of fits to report"
# "(default 100)")
return p.parse_args()
def parse_args():
desc = """
Create a GMM from either density file (.mrc), a pdb file (.pdb)
Will detect input format from extension.
Outputs as text and optionally as a density map
see help(-h)
"""
p = ArgumentParser(description=desc)
p.add_argument("-t",
"--covar_type",
dest="covar_type",
default='full',
choices=['spherical', 'tied', 'diag', 'full'],
help="covariance type for the GMM")
p.add_argument("-m",
"--out_map",
dest="out_map",
default='',
help="write out the gmm to an mrc file")
p.add_argument(
"-a",
"--apix",
dest="apix",
default=1.0,
type=float,
help=
"if you don't provide a map, set the voxel_size here (for sampling)")
p.add_argument("-n",
"--num_samples",
dest="num_samples",
default=1000000,
type=int,
help="num samples to draw from the density map")
p.add_argument("-i",
"--num_iter",
dest="num_iter",
default=100,
type=int,
help="num iterations of GMM")
p.add_argument("-s",
"--threshold",
dest="threshold",
default=0.0,
type=float,
help="threshold for the map before sampling")
p.add_argument(
"-f",
"--force_radii",
dest="force_radii",
default=-1.0,
type=float,
help="force radii to be this value (spherical) -1 means deactivated ")
p.add_argument(
"-w",
"--force_weight",
dest="force_weight",
default=-1.0,
type=float,
help="force weight to be this value (spherical) -1 means deactivated ")
p.add_argument("-e",
"--force_weight_frac",
dest="force_weight_frac",
action="store_true",
default=False,
help="force weight to be 1.0/(num centers). "
"Takes precedence over -w")
p.add_argument("-d",
"--use_dirichlet",
dest="use_dirichlet",
default=False,
action="store_true",
help="use dirichlet process for fit")
p.add_argument(
"-k",
"--multiply_by_mass",
dest="multiply_by_mass",
default=False,
action="store_true",
help=
"if set, will multiply all weights by the total mass of the particles (PDB ONLY)"
)
p.add_argument("-x",
"--chain",
dest="chain",
default=None,
help="If you passed a PDB file, read this chain")
p.add_argument(
"-z",
"--use_cpp",
dest="use_cpp",
default=False,
action="store_true",
help="EXPERIMENTAL. Uses the IMP GMM code. Requires isd_emxl")
p.add_argument("data_file", help="data file name")
p.add_argument("n_centers", type=int, help="number of centers")
p.add_argument("out_file", help="output file name")
return p.parse_args()
def parse_args():
desc = """
Compare output models to a reference structure.
The reference structure for each subunit is read from the rightmost column
of the asmb.input file.
"""
p = ArgumentParser(description=desc)
p.add_argument("-m", "--max", type=int, dest="max", default=None,
help="maximum number of models to compare")
p.add_argument("assembly_file", help="assembly file name")
p.add_argument("proteomics_file", help="proteomics file name")
p.add_argument("mapping_file", help="mapping file name")
p.add_argument("combinations_file", help="combinations file name")
return p.parse_args()
def parse_args():
desc = """
Fit subunits locally around a combination solution with FFT."""
p = ArgumentParser(description=desc)
p.add_argument("-a", "--angle", dest="angle", type=float, default=5,
help="angle delta (degrees) for FFT rotational "
"search (default 5)")
p.add_argument("-n", "--num", dest="num", type=int, default=100,
help="Number of fits to report (default 100)")
p.add_argument("-v", "--angle_voxel", dest="angle_voxel", type=int,
default=10,
help="Number of angles to keep per voxel (default 10)")
p.add_argument("-t", "--max_trans", dest="max_trans", type=float,
default=10.,
help="maximum translational search in A (default 10)")
p.add_argument("-m", "--max_angle", dest="max_angle", type=float,
default=30.,
help="maximum angular search in degrees (default 50)")
p.add_argument("assembly_file", help="assembly file name")
p.add_argument("ref_assembly_file", help="refined assembly file name")
p.add_argument("proteomics_file", help="proteomics file name")
p.add_argument("mapping_file", help="mapping file name")
p.add_argument("combinations_file", help="combinations file name")
p.add_argument("combination_index", type=int,
help="number of the combination to read from the "
"combinations file")
return p.parse_args()
def parse_args():
desc = """
This script, given the structure of a single subunit and the Chimera
transformations file, applies the transformations to generate a number of
complete models."""
p = ArgumentParser(description=desc)
p.add_argument('subunit', help="subunit PDB, the same given to MultiFit")
p.add_argument('degree', type=int, help="Cn symmetry degree")
p.add_argument('transform_file',
help="MultiFit output file in Chimera output format")
p.add_argument('num_models', type=int,
help="number of output models")
p.add_argument('output',
help="solution filename prefix; solutions are written "
"as <output>.i.pdb")
return p.parse_args()
def parse_args():
desc = """
A script that builds the parameters file for symmetric MultiFit.
Notice: If you have negative numbers as input, add -- as the first parameter,
so that the numbers are not treated as options."""
p = ArgumentParser(description=desc)
p.add_argument("-o",
"--out",
dest="out",
default="multifit.output",
metavar="FILE",
help="the name of the MultiFit output file. The default "
"filename is multifit.output")
p.add_argument("-i",
"--med",
dest="med",
metavar="FILE",
default="",
help="Print intermediate results to the named file.")
p.add_argument("-p",
"--params",
dest="params",
default="multifit.param",
help="the name of the MultiFit parameters file. The "
"default filename is multifit.param")
p.add_argument("-m",
"--model",
dest="model",
default="asmb.model",
help="the base filename of the solutions output by "
"MultiFit (.X.pdb, where X is the solution number, "
"is suffixed to create each output file name). "
"The default filename is asmb.model")
p.add_argument("-n",
"--numsols",
dest="numsols",
default=10,
type=int,
help="the number of solutions(fits) to report; "
"default 10")
p.add_argument("degree", type=int, help="cyclic symmetry degree")
p.add_argument("monomer", help="monomer PDB file name")
p.add_argument("density", help="density map file name")
p.add_argument("resolution",
type=float,
help="density map resolution, in angstroms")
p.add_argument("spacing",
type=float,
help="density map voxel spacing, in angstroms")
p.add_argument("threshold",
type=float,
help="the threshold of the density map, used for "
"PCA matching")
p.add_argument("origin_x",
type=float,
help="density map origin X coordinate")
p.add_argument("origin_y",
type=float,
help="density map origin Y coordinate")
p.add_argument("origin_z",
type=float,
help="density map origin Z coordinate")
return p.parse_args()
def parse_args():
desc = "A script for clustering an ensemble of solutions"
p = ArgumentParser(description=desc)
p.add_argument("-m",
"--max",
type=int,
dest="max",
default=999999999,
help="maximum number of combinations to consider")
p.add_argument("assembly_file", help="assembly file name")
p.add_argument("proteomics_file", help="proteomics file name")
p.add_argument("mapping_file", help="mapping file name")
p.add_argument("param_file", help="parameter file name")
p.add_argument("combinations_file", help="combinations file name")
p.add_argument("diameter", type=float, help="cluster diameter")
p.add_argument("cluster_file", help="output clusters file name")
return p.parse_args()
def parse_args():
desc = """
Segments all voxels in the given density map, above the given threshold,
into the given number of clusters, and links between neighboring ones.
The cluster centers are written out into a single output PDB file, each
as a single CA atom.
"""
p = ArgumentParser(description=desc)
p.add_argument("--apix",
type=float,
default=None,
help="map spacing, in angstroms/pix (default: read "
"from MRC file)")
p.add_argument("-x",
"--x",
type=float,
default=None,
help="X origin of the density map")
p.add_argument("-y",
"--y",
type=float,
default=None,
help="Y origin of the density map")
p.add_argument("-z",
"--z",
type=float,
default=None,
help="Z origin of the density map")
p.add_argument("--cmm", default="", help="write results in CMM format")
p.add_argument("--seg",
default="",
help="write out each cluster as an MRC file called "
"<seg>_.mrc, and write load_segmentation.cmd file "
"to easily load all segments into Chimera")
p.add_argument("--txt",
default="",
help="write anchor points file in text format")
p.add_argument("density", help="density map filename (in MRC format)")
p.add_argument("num_cluster", type=int, help="number of clusters")
p.add_argument("threshold", type=float, help="density threshold")
p.add_argument("output", help="output PDB file name")
return p.parse_args()
def parse_args():
desc = """Write output models."""
p = ArgumentParser(description=desc)
p.add_argument("-m", "--max", type=int, dest="max", default=None,
help="maximum number of models to write")
p.add_argument("assembly_file", help="assembly file name")
p.add_argument("proteomics_file", help="proteomics file name")
p.add_argument("mapping_file", help="mapping file name")
p.add_argument("combinations_file", help="combinations file name")
p.add_argument("model_prefix", help="model output file name prefix")
return p.parse_args()
def usage():
usage = """%prog [options] <asmb> <asmb.proteomics> <asmb.mapping>
<alignment.params> <combinatins> <score combinations [output]>
Score each of a set of combinations.
"""
p = ArgumentParser(usage)
p.add_argument("-m", "--max", dest="max", type=int, default=999999999,
help="maximum number of fits considered")
p.add_argument("assembly_file", help="assembly file name")
p.add_argument("proteomics_file", help="proteomics file name")
p.add_argument("mapping_file", help="mapping file name")
p.add_argument("param_file", help="parameter file name")
p.add_argument("combinations_file", help="combinations file name")
p.add_argument("scores_file", help="output scores file name")
return p.parse_args()
def parse_args():
desc = """Align proteomics graph with the EM map."""
p = ArgumentParser(description=desc)
p.add_argument("-m",
"--max",
type=int,
dest="max",
default=999999999,
help="maximum number of fits considered")
p.add_argument("assembly_file", help="assembly file name")
p.add_argument("proteomics_file", help="proteomics file name")
p.add_argument("mapping_file", help="mapping file name")
p.add_argument("param_file", help="parameter file name")
p.add_argument("combinations_file", help="combinations file name (output)")
p.add_argument("scores_file", help="fitting scores file name (output)")
return p.parse_args()
def usage():
desc = """
Clustering of assembly solutions.
This program uses the Python 'fastcluster' module, which can be obtained from
http://math.stanford.edu/~muellner/fastcluster.html
"""
p = ArgumentParser(description=desc)
p.add_argument("-m", "--max", type=int, dest="max", default=999999999,
help="maximum solutions to consider")
p.add_argument("-r", "--rmsd", type=float, dest="rmsd", default=5,
help="maximum rmsd within a cluster")
p.add_argument("assembly_file", help="assembly file name")
p.add_argument("proteomics_file", help="proteomics file name")
p.add_argument("mapping_file", help="mapping file name")
p.add_argument("param_file", help="parameter file name")
p.add_argument("combinations_file", help="combinations file name")
p.add_argument("cluster_file", help="output clusters file name")
return p.parse_args()