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SOFTWARE FOR

Computational Biology

Software for Computational Biology implements computational methods for understanding the molecular basis of life. Software distributed to the scientific community covers processing of experimental data, modelling and simulation of biological systems, interpretation of 2D and 3D imaging data, and data management for projects.

Developed by Scientific Computing

CCP-EM software suite – programs for solving macromolecular structures from cryoEM data

CAPABILITIES

The CCP-EM software suite provides programs for solving macromolecular structures from cryoEM data, covering all stages from raw 2D images, via 3D volumes, to atomic models.

TRAINING INFORMATION

The CCP-EM support team organise and host regular training workshops and contribute to external courses. See the website or @ccp_em on X for details.

ACCESS

The suite is free for academic users and there is an annual fee for commercial users. See here for details.

CCP4 software suite – programs for solving macromolecular structures from X-ray diffraction data

CAPABILITIES

The CCP4 software suite provides programs for solving macromolecular structures from X-ray diffraction data, covering all stages from diffraction images to built atomic models.

TRAINING INFORMATION

The CCP4 support team organise and host regular training workshops and contribute to external courses. 
See the website.

ACCESS

The suite is licensed for free to non-profit users, and for an annual fee to for-profit users. See here for details.

CCPi Core Imaging Library (CIL) – open-source Python framework for tomographic imaging for cone and parallel beam geometries

CAPABILITIES

CIL is an open-source mainly Python framework for tomographic imaging for cone and parallel beam geometries. It comes with tools for loading, preprocessing, reconstructing and visualising tomographic data.

TRAINING INFORMATION

The CIL team run a range of online and in-person training courses. See the website for details.

ACCESS

The software is available with open-source license Apache-v2 via GitHub.

Code Entropy – set of tools for computing entropy of macromolecular systems

CAPABILITIES

A unified code based on the CodeEntropy tool with POSEIDON code integrated to form a complete and generally applicable set of tools for computing entropy of macromolecular systems from the forces sampled in a MD simulation.

TRAINING INFORMATION

Documentation is available at https://codeentropy.readthedocs.io.   See also training events on the CCPBioSim website.

ACCESS

The code is available under an MIT License. See https://codeentropy.readthedocs.io/en/stable/getting_started.html for installation instructions.

Contributed to by Scientific Computing

DIALS Package – data processing tools for single crystal diffraction experiments

CAPABILITIES

The DIALS Package provides data processing tools for single crystal diffraction experiments. The package provides a suite of programs for processing single-crystal diffraction image data sets from X-ray, electron and neutron sources.

TRAINING INFORMATION

The DIALS package is taught at macromolecular crystallography training workshops, including those organised by CCP4.  See the website or @ccp4_mx on X for details.

ACCESS

DIALS is freely available to all users, under the terms of the BSD 3-Clause license.

Synergistic Image Reconstruction Framework (SIRF) – Open Source software for image reconstruction of biomedical imaging

CAPABILITIES

The Synergistic Image Reconstruction Framework (SIRF) is an Open Source software for image reconstruction of biomedical imaging (currently PET, SPECT and MR) data in a research context.

TRAINING INFORMATION

Documentation is available on the CCP-SyneRBI wiki. There are also regular training courses based on the SIRF-Exercises jupyter notebooks.

ACCESS

SIRF is available as a Virtual Machine, a Docker image, or as code to be built. The underlying code is licensed as GPL v2 and Apache 2.0.

Enquiries

For information on our purchasing software, please select from one of the following:

CCP4   CCP-EM    DIALS    Tomography    Code Entropy

For more information and all enquiries, please contact us.

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