_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
imp 2.23.0
Dependencies: boost@1.59.0 cereal@1.3.2 cgal@5.6.1 gsl@2.8 hdf5@1.14.6 fftw@3.3.10 eigen@3.4.0 opencv@4.12.0
Propagated dependencies: python-numpy@1.26.4 python-scipy@1.12.0 python-pandas@2.2.3 python-scikit-learn@1.7.0 python-networkx@3.4.2
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://integrativemodeling.org
Licenses: LGPL 2.1+ GPL 3+
Synopsis: Integrative modeling platform
Description:

IMP's broad goal is to contribute to a comprehensive structural characterization of biomolecules ranging in size and complexity from small peptides to large macromolecular assemblies, by integrating data from diverse biochemical and biophysical experiments. IMP provides a C++ and Python toolbox for solving complex modeling problems, and a number of applications for tackling some common problems in a user-friendly way.

Total results: 1