IMP  2.3.0
The Integrative Modeling Platform
IMP.pmi.macros.AnalysisReplicaExchange0 Class Reference

A macro for running all the basic operations of analysis. More...

Inherits object.

Detailed Description

A macro for running all the basic operations of analysis.

Including clustering, precision analysis, and making ensemble density maps. A number of plots are also supported.

Note
This class is only available in Python.

Definition at line 666 of file macros.py.

Public Member Functions

def clustering
 Get the best scoring models, compute a distance matrix, cluster them, and create density maps. More...
 

Member Function Documentation

def IMP.pmi.macros.AnalysisReplicaExchange0.clustering (   self,
  score_key = 'SimplifiedModel_Total_Score_None',
  rmf_file_key = 'rmf_file',
  rmf_file_frame_key = 'rmf_frame_index',
  prefiltervalue = None,
  feature_keys = [],
  outputdir = './',
  alignment_components = None,
  number_of_best_scoring_models = 10,
  rmsd_calculation_components = None,
  distance_matrix_file = None,
  load_distance_matrix_file = False,
  is_mpi = False,
  skip_clustering = False,
  number_of_clusters = 1,
  display_plot = False,
  exit_after_display = True,
  get_every = 1,
  first_and_last_frames = None,
  density_custom_ranges = None,
  write_pdb_with_centered_coordinates = False,
  voxel_size = 5.0 
)

Get the best scoring models, compute a distance matrix, cluster them, and create density maps.

Parameters
score_keyThe score for ranking models
rmf_file_keyKey pointing to RMF filename
rmf_file_frame_keyKey pointing to RMF frame number
prefiltervalueOnly include frames where the score key is below this value
feature_keysKeywords for which you want to calculate average, medians, etc,
outputdirThe local output directory used in the run
alignment_componentsList of tuples for aligning the structures e.g. ["Rpb1", (20,100,"Rpb2"), .....]
number_of_best_scoring_modelsNum models to keep per run
rmsd_calculation_componentsList of tuples for calculating RMSD e.g. ["Rpb1", (20,100,"Rpb2"), .....]
distance_matrix_fileWhere to store/read the distance matrix
load_distance_matrix_fileTry to load the distance matrix file
is_mpiEnable MPI
skip_clusteringJust extract the best scoring models and save the pdbs
number_of_clustersNumber of k-means clusters
display_plotDisplay the distance matrix
exit_after_displayExit after displaying distance matrix
get_everyExtract every nth frame
first_and_last_framesA tuple with the first and last frames to be analyzed. Values are percentages! Default: get all frames
density_custom_rangesList of tuples or strings for density calculation e.g. ["Rpb1", (20,100,"Rpb2"), .....]
write_pdb_with_centered_coordinates
voxel_sizeUsed for the density output

Definition at line 707 of file macros.py.


The documentation for this class was generated from the following file: