laue-dials
Data analysis package for Laue crystallography.
laue-dials
is an extension to the DIALS code for analyzing polychromatic crystallographic data.
Building off the DIALS
framework, and including modern tools like numpy
, scipy
, and
reciprocalspaceship
, this package allows for analysis of X-ray crystallographic data using
wide-bandwidth light sources. This package is intended to be used in conjunction with DIALS,
careless, and Phenix in order to generate molecular models from raw data. For documentation, see
https://rs-station.github.io/laue-dials/index.html.
Installation
To install laue-dials
, the DIALS code must first be installed using
conda install -c conda-forge dials
Then, using the same python environment, run the following to install laue-dials
from pip
:
pip install laue-dials
or alternatively, install the development version of laue-dials
from GitHub:
pip install git+https://github.com/rs-station/laue-dials.git
laue-dials
consists of several command-line scripts for the processing of Laue diffraction data, which are
laue.find_spots
laue.index
laue.sequence_to_stills
laue.optimize_indexing
laue.refine
laue.predict
laue.integrate
laue.plot_wavelengths
laue.compute_rmsds
Note that you need to import the image data using dials.import
. For information on how to use this command, visit https://dials.github.io/documentation/programs/dials_import.html. An example of how to analyze a full dataset lives at https://github.com/rs-station/laue-dials/blob/main/examples/pipeline.sh.
If any issues occur either with installation or use of the software, please file an issue at issue tracker. Any and all questions, concerns, or feature requests are welcome.
Contents
- Contributions & Help
- License
- Authors
- Changelog
- Contents
- Indices and tables
- Command-Line Reference
- Full API Reference
- Jupyter Tutorials