e2initialmodel.py

This program will take a set of class-averages/projections and build a set of 3-D models suitable for use as initial models in single particle reconstruction. The set is sorted in order of quality (best one is numbered 1).

This program uses a very simple method. It starts with completely random (but filtered and masked) initial models.

Options:

--input

string

The name of the image containing the particle data

--iter

int

The total number of refinement iterations to perform

--tries

int

The number of different initial models to generate in search of a good one

--sym

string

Specify symmetry - choices are: c<n>, d<n>, h<n>, tet, oct, icos

--savemore

bool

Will cause intermediate results to be written to flat files

--orientgen

string

The type of orientation generator. Default is safe. See e2help.py orientgens

--dbls

string

data base list storage, used by the workflow. You can ignore this argument.

-v

--verbose

int

verbose level [0-9], higner number means higher level of verboseness