Cppxfel Installation: Difference between revisions
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* DIALS distribution - provides the ''cctbx'' libraries for L-BFGS refinement and some crystallographic functions, and the indexing algorithms from DIALS itself. | * DIALS distribution - provides the ''cctbx'' libraries for L-BFGS refinement and some crystallographic functions, and the indexing algorithms from DIALS itself. | ||
* ''cppxfel'' distribution - primarily written in C++, but some Python scripts to automate DIALS indexing and prepare the results for input into ''cppxfel''. | * ''cppxfel'' distribution - primarily written in C++, but some Python scripts to automate DIALS indexing and prepare the results for input into ''cppxfel''. | ||
These installation instructions have been tested on CentOS 7. | |||
== DIALS distribution == | |||
Download the DIALS distribution for your flavour of OS (see [[http://cci.lbl.gov/dials/installers/ list of latest builds]]) from [[http://dials.github.io/installation.html the DIALS website]]. Ensure the distribution downloaded was compiled on 29th November 2015 or later for Boost thread support. Extract the dials-installer-dev to a new location. Navigate into this directory, e.g.: | |||
<pre>cd dials-installer-dev</pre> | |||
Start the install command to a new directory to which you have write access. | |||
<pre>./install --prefix=/absolute/path/to/dials</pre> | |||
== ''cppxfel'' distribution == | |||
The ''cppxfel'' source code must be downloaded into the <code>modules</code> directory. Navigate to this directory, e.g. | |||
<pre>cd /absolute/path/to/dials/dials-dev-508/modules</pre> | |||
The repository can be cloned from the GitHub link for cppxfel. | |||
<pre>git clone https://github.com/cppxfel/cppxfel.git</pre> | |||
The build directory must be removed and recreated. | |||
<pre> | |||
cd .. | |||
rm -r build | |||
mkdir build | |||
cd build | |||
</pre> | |||
The DIALS distribution must be configured to compile the xfel extension, and then the distribution must be compiled. | |||
<pre> | |||
../base/bin/python ../modules/cctbx_project/libtbx/configure.py --enable_boost_threads=1 xfel | |||
make | |||
</pre> | |||
<pre>/ | The same must be done for the cppxfel code. | ||
<pre> | |||
../base/bin/python ../modules/cctbx_project/libtbx/configure.py --enable_boost_threads=1 cppxfel | |||
make | |||
</pre> | |||
Set the paths to the DIALS and cppxfel command line tools (bash): | |||
{| class="wikitable" | {| class="wikitable" | ||
Line 40: | Line 54: | ||
! Csh shell | ! Csh shell | ||
|- | |- | ||
| <code> | | <code>. /absolute/path/to/dials/dials-dev-508/build/setpaths.sh</code> | ||
| <code> | | <code>source /absolute/path/to/dials/dials-dev-508/build/setpaths.csh</code> | ||
|} | |} | ||
This needs to be repeated every time a new shell is started. Alternatively, place this in your appropriate file (bash) | |||
{| class="wikitable" | {| class="wikitable" | ||
Line 57: | Line 65: | ||
! Csh shell | ! Csh shell | ||
|- | |- | ||
| <code> | | <code>test -r /absolute/path/to/dials/dials-dev-508/build/setpaths.sh && \ | ||
| <code> | . /absolute/path/to/dials/dials-dev-508/build/setpaths.sh</code> | ||
| <code>test -r /absolute/path/to/dials/dials-dev-508/build/setpaths.csh && \ | |||
source /absolute/path/to/dials/dials-dev-508/build/setpaths.csh</code> | |||
| | |||
|- | |- | ||
|<code> | | to <code>~/.bashrc</code> | ||
|<code> | | to <code>~/.cshrc</code> | ||
|} | |} | ||
== DIALS distribution == | == Alternate ''cppxfel''-''DIALS'' distribution for non-graphical High Performance Computing == | ||
<span style="color:red"> Skip this section for typical use cases. On request from an HPC center, we give special instructions for building the Python library without importing graphics library code (instructions were tested on Centos 6.5). For a non-graphical installation do NOT start above with the DIALS distribution, instead start HERE: | |||
< | <pre> | ||
wget --no-check-certificate https://raw.githubusercontent.com/cctbx/cctbx_project/master/libtbx/auto_build/bootstrap.py | |||
python bootstrap.py hot update --builder=dials | |||
python modules/cctbx_project/libtbx/auto_build/install_base_packages.py | |||
cd modules | |||
= | git clone https://github.com/cppxfel/cppxfel.git | ||
cd .. | |||
mkdir build | |||
cd build | |||
../base/bin/python ../modules/cctbx_project/libtbx/configure.py --enable_boost_threads=1 xfel | |||
make | |||
../base/bin/python ../modules/cctbx_project/libtbx/configure.py --enable_boost_threads=1 cppxfel | |||
make | |||
</pre> | |||
make</pre> | |||
<span style="color:red">Set the paths to the DIALS and cppxfel command line tools: | |||
{| class="wikitable" | {| class="wikitable" | ||
Line 102: | Line 102: | ||
! Csh shell | ! Csh shell | ||
|- | |- | ||
| <code>. /absolute/path/to | | <code>. /absolute/path/to/build/setpaths.sh</code> | ||
| <code>source /absolute/path/to | | <code>source /absolute/path/to/build/setpaths.csh</code> | ||
|} | |} | ||
This needs to be repeated every time a new shell is started. Alternatively, place this in your appropriate file | <span style="color:red">This needs to be repeated every time a new shell is started. Alternatively, place this in your appropriate file: | ||
{| class="wikitable" | {| class="wikitable" | ||
Line 113: | Line 113: | ||
! Csh shell | ! Csh shell | ||
|- | |- | ||
| <code>test -r /absolute/path/to | | <code>test -r /absolute/path/to/build/setpaths.sh && \ | ||
. /absolute/path/to | . /absolute/path/to/build/setpaths.sh</code> | ||
| <code>test -r /absolute/path/to | | <code>test -r /absolute/path/to/build/setpaths.csh && \ | ||
source /absolute/path/to | source /absolute/path/to/build/setpaths.csh</code> | ||
| | | | ||
|- | |- | ||
Line 122: | Line 122: | ||
| to <code>~/.cshrc</code> | | to <code>~/.cshrc</code> | ||
|} | |} | ||
== CCP4 Symmetry libraries == | |||
The ''cppxfel'' distribution requires the CCP4 symmetry libraries. This needs to be pointed to by the SYMINFO environment variable. To set this: | |||
{| class="wikitable" | |||
|- | |||
! Bash shell | |||
! Csh shell | |||
|- | |||
| <code>export SYMINFO="/absolute/path/to/cctbx/modules/ccp4io/libccp4/data/syminfo.lib"</code> | |||
| <code>setenv SYMINFO /absolute/path/to/cctbx/modules/ccp4io/libccp4/data/syminfo.lib</code> | |||
|} | |||
This will prevent run-time errors from the CCP4 library functions not being able to find its symmetry information library. Consider adding these links to your <code>~/.bashrc</code> or <code>~/.cshrc</code> files to be executed on the generation of every new shell. | |||
== Check the installation == | |||
Confirm that ''cppxfel'' runs: | Confirm that ''cppxfel'' runs: | ||
Line 167: | Line 184: | ||
</pre> | </pre> | ||
If you see this, ''cppxfel'' has been installed | If you see this, ''cppxfel'' has been installed. | ||
== Next steps == | == Next steps == | ||
Try running the tutorial on a set of 1000 images from CPV, starting with [[Cppxfel Indexing|indexing]]. | Try running the tutorial on a set of 1000 images from CPV, starting with [[Cppxfel Indexing|indexing]]. |
Latest revision as of 17:55, 16 December 2016
This details the installation instructions for cppxfel on Linux and Mac OS X. cppxfel relies on three components:
- Boost libraries (thread and system) - these allow C++ to access threading over multiple cores.
- DIALS distribution - provides the cctbx libraries for L-BFGS refinement and some crystallographic functions, and the indexing algorithms from DIALS itself.
- cppxfel distribution - primarily written in C++, but some Python scripts to automate DIALS indexing and prepare the results for input into cppxfel.
These installation instructions have been tested on CentOS 7.
DIALS distribution
Download the DIALS distribution for your flavour of OS (see [list of latest builds]) from [the DIALS website]. Ensure the distribution downloaded was compiled on 29th November 2015 or later for Boost thread support. Extract the dials-installer-dev to a new location. Navigate into this directory, e.g.:
cd dials-installer-dev
Start the install command to a new directory to which you have write access.
./install --prefix=/absolute/path/to/dials
cppxfel distribution
The cppxfel source code must be downloaded into the modules
directory. Navigate to this directory, e.g.
cd /absolute/path/to/dials/dials-dev-508/modules
The repository can be cloned from the GitHub link for cppxfel.
git clone https://github.com/cppxfel/cppxfel.git
The build directory must be removed and recreated.
cd .. rm -r build mkdir build cd build
The DIALS distribution must be configured to compile the xfel extension, and then the distribution must be compiled.
../base/bin/python ../modules/cctbx_project/libtbx/configure.py --enable_boost_threads=1 xfel make
The same must be done for the cppxfel code.
../base/bin/python ../modules/cctbx_project/libtbx/configure.py --enable_boost_threads=1 cppxfel make
Set the paths to the DIALS and cppxfel command line tools (bash):
Bash shell | Csh shell |
---|---|
. /absolute/path/to/dials/dials-dev-508/build/setpaths.sh
|
source /absolute/path/to/dials/dials-dev-508/build/setpaths.csh
|
This needs to be repeated every time a new shell is started. Alternatively, place this in your appropriate file (bash)
Bash shell | Csh shell | |
---|---|---|
test -r /absolute/path/to/dials/dials-dev-508/build/setpaths.sh && \
|
test -r /absolute/path/to/dials/dials-dev-508/build/setpaths.csh && \
|
|
to ~/.bashrc
|
to ~/.cshrc
|
Alternate cppxfel-DIALS distribution for non-graphical High Performance Computing
Skip this section for typical use cases. On request from an HPC center, we give special instructions for building the Python library without importing graphics library code (instructions were tested on Centos 6.5). For a non-graphical installation do NOT start above with the DIALS distribution, instead start HERE:
wget --no-check-certificate https://raw.githubusercontent.com/cctbx/cctbx_project/master/libtbx/auto_build/bootstrap.py python bootstrap.py hot update --builder=dials python modules/cctbx_project/libtbx/auto_build/install_base_packages.py cd modules git clone https://github.com/cppxfel/cppxfel.git cd .. mkdir build cd build ../base/bin/python ../modules/cctbx_project/libtbx/configure.py --enable_boost_threads=1 xfel make ../base/bin/python ../modules/cctbx_project/libtbx/configure.py --enable_boost_threads=1 cppxfel make
Set the paths to the DIALS and cppxfel command line tools:
Bash shell | Csh shell |
---|---|
. /absolute/path/to/build/setpaths.sh
|
source /absolute/path/to/build/setpaths.csh
|
This needs to be repeated every time a new shell is started. Alternatively, place this in your appropriate file:
Bash shell | Csh shell | |
---|---|---|
test -r /absolute/path/to/build/setpaths.sh && \
|
test -r /absolute/path/to/build/setpaths.csh && \
|
|
to ~/.bashrc
|
to ~/.cshrc
|
CCP4 Symmetry libraries
The cppxfel distribution requires the CCP4 symmetry libraries. This needs to be pointed to by the SYMINFO environment variable. To set this:
Bash shell | Csh shell |
---|---|
export SYMINFO="/absolute/path/to/cctbx/modules/ccp4io/libccp4/data/syminfo.lib"
|
setenv SYMINFO /absolute/path/to/cctbx/modules/ccp4io/libccp4/data/syminfo.lib
|
This will prevent run-time errors from the CCP4 library functions not being able to find its symmetry information library. Consider adding these links to your ~/.bashrc
or ~/.cshrc
files to be executed on the generation of every new shell.
Check the installation
Confirm that cppxfel runs:
cppxfel.run
The output should look something like this:
Welcome to cppxfel version 1.0! Please refer to & cite paper in Journal of Applied Crystallography (unpublished) Command order for regular structure solution: cppxfel.run_dials shot*.pickle cppxfel.input_gen cppxfel.run -i integrate.txt cppxfel.run -i refine.txt cppxfel.run -i merge.txt Other functions for assessing data quality: Correlation between two MTZ files: cppxfel.run -cc firstFile.mtz secondFile.mtz [ambiguity] [lowRes] [highRes] [bins] ambiguity: 0, 1, 2 or 3 - will compare different indexing solutions where the Bravais lattice symmetry is higher than that of the point group for certain space groups. Default 0 lowRes and highRes: set to resolution in Angstroms to bound the results, or set to 0 to take lowest/highest resolution data. Default 0, 0 bins: number of bins to report correlation statistics. Default 20. Partiality CSV files: cppxfel.run -partiality reference.mtz ref-img-shot-number.mtz [highRes] highRes: 0, 1, 2 or 3 - highest resolution reflection to report results on. Default 1.4 This outputs partiality_[m].csv where m is bin number, which can be imported into other graphing softwares such as R. Merging statistics: cppxfel.run -rpim unmerged_file.mtz [lowRes] [highRes] [bins] cppxfel.run -rmeas unmerged_file.mtz [lowRes] [highRes] [bins] cppxfel.run -rmerge unmerged_file.mtz [lowRes] [highRes] [bins] lowRes and highRes: set to resolution in Angstroms to bound the results, or set to 0 to take lowest/highest resolution data. Default 0, 0 bins: number of bins to report correlation statistics. Default 20.
If you see this, cppxfel has been installed.
Next steps
Try running the tutorial on a set of 1000 images from CPV, starting with indexing.