Skip to main content

Plugin to use Locscale program within the Scipion framework

Project description

This plugin provides a wrapper around LocScale program for local sharpening of cryo-EM density maps.

PyPI release License Supported Python versions SonarCloud quality gate 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:

  1. Stable version

    scipion installp -p scipion-em-locscale
  2. Developer’s version

    • download repository

    git clone -b devel https://github.com/scipion-em/scipion-em-locscale.git
    • install

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

LocScale software will be installed automatically with the plugin but you can also use an existing installation by providing LOCSCALE_ENV_ACTIVATION (see below).

Important: you need to have conda (miniconda3 or anaconda3) pre-installed to use this program.

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)”

LOCSCALE_ENV_ACTIVATION (default = conda activate locscale-2.2.3): Command to activate the LocScale environment.

Verifying

To check the installation, simply run the following Scipion test:

scipion test locscale.tests.test_protocol_locscale.TestProtLocscale

Supported versions

2.1, 2.2.3

Protocols

  • local sharpening

References

  1. A.J. Jakobi, M. Wilmanns and C. Sachse, Model-based local density sharpening of cryo-EM maps, eLife 6: e27131 (2017).

  2. A.Bharadwaj and A.J. Jakobi, Electron scattering properties and their use in cryo-EM map sharpening, Faraday Discussions D2FD00078D (2022)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

scipion-em-locscale-3.1.2.tar.gz (148.6 kB view details)

Uploaded Source

Built Distribution

scipion_em_locscale-3.1.2-py3-none-any.whl (147.0 kB view details)

Uploaded Python 3

File details

Details for the file scipion-em-locscale-3.1.2.tar.gz.

File metadata

  • Download URL: scipion-em-locscale-3.1.2.tar.gz
  • Upload date:
  • Size: 148.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.8.18

File hashes

Hashes for scipion-em-locscale-3.1.2.tar.gz
Algorithm Hash digest
SHA256 fe2a0fc2f9921c04d549eed6356bba26eb50cdd56d6de02f7ba03635a907bd81
MD5 e3c12ebe8748dfde0be023ad51acbb92
BLAKE2b-256 1db435dfb9903490c0fb6ab5576421e8f767813107b93ae1f5e706fca57d24de

See more details on using hashes here.

File details

Details for the file scipion_em_locscale-3.1.2-py3-none-any.whl.

File metadata

File hashes

Hashes for scipion_em_locscale-3.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 86d1d45292b543ff58f828f5da7be8f47311afb7fe312fd5ff77d5e4f743f4c2
MD5 a0844282b9262e66244af109d2f5bd61
BLAKE2b-256 f782578ed2f3659b165f636c3683e97f9eb37081559bc7d3d7ea3cbc48f4adf1

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page