Calculate statistics of serial MX data from xia2.ssx or CrystFEL and import them to CCP4.
Requirements: ccp4-python from CCP4 8.0 or later (it includes CCTBX)
Example of usage:
$ ccp4-python -m import_serial --hklin 116720-721.lst-asdf-scale.hkl --half-dataset 116720-721.lst-asdf-scale.hkl1 116720-721.lst-asdf-scale.hkl2 --spacegroup P21 --cell 39.4 78.5 48.0 90 97.94 90 $ ccp4-python -m import_serial --hklin 116720-721.lst-asdf-scale.hkl --spacegroup P21 --cell 39.4 78.5 48.0 90 97.94 90 --nbins 20 --dmin 1.65 --project protein --dataset 01
Test data are available in a separate repository: https://github.com/MartinMalyMM/import_serial_test_data
List of all options:
$ ccp4-python -m import_serial --help usage: ccp4-python -m import_serial [-h] --hklin hklin_file [--spacegroup spacegroup] [--cell cell_a cell_b cell_c cell_alpha cell_beta cell_gamma] [--half-dataset hkl1 hkl2] [--project PROJECT] [--crystal CRYST] [--dataset DATASET] [--dmax D_MAX] [--dmin D_MIN] [--nbins N_BINS] Calculate statistics of serial MX data from xia2.ssx or CrystFEL and import them to CCP4 optional arguments: -h, --help show this help message and exit --hklin hklin_file, --HKLIN hklin_file Specify merged mtz file from xia2.ssx or merged hkl file from CrystFEL --spacegroup spacegroup Space group --cell cell_a cell_b cell_c cell_alpha cell_beta cell_gamma Unit cell parameters divided by spaces, e.g. 60 50 40 90 90 90 --half-dataset hkl1 hkl2 CrystFEL only: two half-data-set merge files (usually .hkl1 and .hkl2) --project PROJECT Project name --crystal CRYST Crystal name --dataset DATASET Dataset name --dmax D_MAX, --lowres D_MAX Low-resolution cutoff --dmin D_MIN, --highres D_MIN High-resolution cutoff --nbins N_BINS, --nshells N_BINS Number of resolution bins
Installation:
The latest code from GitHub:
$ ccp4-python -m pip install https://github.com/MartinMalyMM/import_serial/archive/master.zip --no-deps --upgrade --user
or - from PyPI:
$ ccp4-python -m pip install import_serial --no-deps --upgrade --user
Test:
$ cd test $ ccp4-python -m pytest -vv -s
Developed by Martin Maly, University of Southampton, martin.maly@soton.ac.uk