| --version |
None |
show program's version number and exit |
| --oldpath |
str |
Path to the original refinement (input, required) |
| --path, --newpath |
str |
Path to the classified results (output). Default = multinoali_XX |
| --models, --model |
str |
Comma separated list of reference maps used for classification. If a single map is provided, data will be split into two groups based on similarity to the single map. |
| --simcmp |
str |
The name of a 'cmp' to be used in comparing the aligned images. eg- frc:minres=80:maxres=20. Default=ccc |
| --threads |
int |
Number of threads. |
| --randomphase |
float |
Randomize initial model to certain frequency. |
| --parallel |
str |
Parallel option. |
| --iter |
int |
Number of iterations. |
| --mask |
str |
Name of an optional mask file. The mask is applied to the input models to focus the classification on a particular region of the map. Consider e2classifyligand.py instead. |
| --breaksym |
None |
breaksym |
| --symcopy |
None |
symcopy |
| --nomask |
None |
no mask |
| --ppid |
int |
Set the PID of the parent process, used for cross platform PPID |