scipion-em-gctf


Namescipion-em-gctf JSON
Version 3.2.1 PyPI version JSON
download
home_pagehttps://github.com/scipion-em/scipion-em-gctf
SummaryPlugin to use Gctf program within the Scipion framework
upload_time2024-12-02 10:58:14
maintainerNone
docs_urlNone
authorGrigory Sharov, J.M. De la Rosa Trevin
requires_pythonNone
licenseNone
keywords scipion electron-microscopy cryo-em structural-biology image-processing scipion-3.0
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            ===========
Gctf plugin
===========

This plugin provides a wrapper for `Gctf <https://www2.mrc-lmb.cam.ac.uk/research/locally-developed-software/zhang-software/>`_ program.

.. image:: https://img.shields.io/pypi/v/scipion-em-gctf.svg
        :target: https://pypi.python.org/pypi/scipion-em-gctf
        :alt: PyPI release

.. image:: https://img.shields.io/pypi/l/scipion-em-gctf.svg
        :target: https://pypi.python.org/pypi/scipion-em-gctf
        :alt: License

.. image:: https://img.shields.io/pypi/pyversions/scipion-em-gctf.svg
        :target: https://pypi.python.org/pypi/scipion-em-gctf
        :alt: Supported Python versions

.. image:: https://img.shields.io/sonar/quality_gate/scipion-em_scipion-em-gctf?server=https%3A%2F%2Fsonarcloud.io
        :target: https://sonarcloud.io/dashboard?id=scipion-em_scipion-em-gctf
        :alt: SonarCloud quality gate

.. image:: https://img.shields.io/pypi/dm/scipion-em-gctf
        :target: https://pypi.python.org/pypi/scipion-em-gctf
        :alt: Downloads

Installation
------------

You will need to use 3.0+ version of Scipion to be able to run these protocols. To install the plugin, you have two options:

a) Stable version

   .. code-block::

      scipion installp -p scipion-em-gctf

b) Developer's version

   * download repository

   .. code-block::

      git clone -b devel https://github.com/scipion-em/scipion-em-gctf.git

   * install

   .. code-block::

      scipion installp -p /path/to/scipion-em-gctf --devel

Configuration variables
-----------------------
*CONDA_ACTIVATION_CMD*: If undefined, it will rely on conda command being in the
PATH (not recommended), which can lead to execution problems mixing scipion
python with conda ones. One example of this could can be seen below but
depending on your conda version and shell you will need something different:
CONDA_ACTIVATION_CMD = eval "$(/extra/miniconda3/bin/conda shell.bash hook)"

*GCTF_ENV_ACTIVATION* (default = conda activate gctf):
Command to activate the Gctf environment. It will have cudatoolkit=10.1 installed.

*GCTF_HOME* (default = software/em/gctf-1.18):
Path to Gctf installation folder.

*GCTF_BIN* (default = Gctf_v1.18_sm30-75_cu10.1):
Binary to use.

Verifying
---------
To check the installation, simply run one of the following Scipion tests: 

.. code-block::

   scipion test gctf.tests.test_protocols_gctf.TestGctf
   scipion tests gctf.tests.test_protocols_gctf_ts.TestGctfTs

Supported versions
------------------

1.18

Protocols
---------

* ctf estimation
* tilt-series gctf

References
----------

1. Zhang K. (2016). Gctf: Real-time CTF determination and correction. JSB, 193: 1-12.



            

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