Package: imp-dev
Architecture: amd64
Version: 20230606.develop.5d113ecbfd-1
Priority: optional
Section: libdevel
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 6994
Depends: imp (= 20230606.develop.5d113ecbfd-1), cmake, swig, libboost-filesystem-dev, libboost-graph-dev, libboost-iostreams-dev, libboost-program-options-dev, libboost-random-dev, libboost-regex-dev, libboost-thread-dev, libcgal-dev, libhdf5-dev, libfftw3-dev, libopencv-dev, libgsl0-dev, python3-dev, libann-dev, libeigen3-dev, libcereal-dev, libprotobuf-dev
Filename: focal/imp-dev_20230606.develop.5d113ecbfd-1_amd64.deb
Size: 929256
MD5sum: cafd95d2f406005e48843e401f2b2320
SHA1: 4af1690238cf371de2f40b893992ef0cf5c73ce9
SHA256: e533e3137c5a9a8457438a442f9270df43c5de5d523b98ac1fd5729f4a409e6a
SHA512: f68bd86ef858e0e567f877f6ad838f8ac711e14a27f6a3b516925d3e2442319a72986fae861cd01fdd3be63baac9f74064795e979bf888615b37799a37bc1c4e
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 Headers to compile against IMP.

Package: imp-openmpi
Architecture: amd64
Version: 20230606.develop.5d113ecbfd-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 11229
Depends: imp (= 20230606.develop.5d113ecbfd-1), libboost-filesystem1.71.0, libboost-program-options1.71.0, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgomp1 (>= 4.2.1), libopencv-core4.2 (>= 4.2.0+dfsg), libopencv-imgcodecs4.2 (>= 4.2.0+dfsg), libopenmpi3 (>= 4.0.3), libstdc++6 (>= 9)
Filename: focal/imp-openmpi_20230606.develop.5d113ecbfd-1_amd64.deb
Size: 1368816
MD5sum: abb5a693dddd7544dcbb89e3066d0055
SHA1: dc76649191e558da9c62d053331b5266db586567
SHA256: 6dfcd91ae522c30c67d7a54adbd4205e2194cdbca7f25497a5b60043fc29db8f
SHA512: a43714e26384b3c5045c786d6c84fb420b6098ae3f02285830d828bc7142ef1fddf70be568c8a688b2ec3496b6a38a5963957984215d487f766fdbaf667fe99b
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 IMP MPI module and dependents, for openmpi.

Package: imp-python2
Architecture: amd64
Version: 20230606.develop.5d113ecbfd-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 108213
Depends: imp (= 20230606.develop.5d113ecbfd-1), python-numpy, python-protobuf
Filename: focal/imp-python2_20230606.develop.5d113ecbfd-1_amd64.deb
Size: 13955532
MD5sum: 29abf5bfab59cd45210d005757cefaa0
SHA1: 9e547b87fabee5469d386363e0cb0f68c68c91dc
SHA256: f23d380a505f2bd15fb4113034aa08a880e6f115f4dc5dd40fff78ad14632e25
SHA512: 329c437af106ba7e961d1fd09f1ab79e38056ec478d6aa42bdd60f2b45cdbb75ad45f6ee8a627de6092ac7b93cc7f2c91d2b0753bb2e0231bc155c249120a8f1
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 Wrappers for Python 2 (the base IMP package contains Python 3 wrappers).

Package: imp
Architecture: amd64
Version: 20230606.develop.5d113ecbfd-1
Priority: optional
Section: libs
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 460640
Depends: libboost-filesystem1.71.0, libboost-graph1.71.0, libboost-iostreams1.71.0, libboost-program-options1.71.0, libboost-random1.71.0, libc6 (>= 2.29), libfftw3-double3 (>= 3.3.5), libgcc-s1 (>= 4.0), libgmp10, libgomp1 (>= 4.9), libgsl23 (>= 2.5), libhdf5-103, libmpfr6 (>= 3.1.3), libopencv-core4.2 (>= 4.2.0+dfsg), libopencv-imgcodecs4.2 (>= 4.2.0+dfsg), libopencv-imgproc4.2 (>= 4.2.0+dfsg), libprotobuf17, libstdc++6 (>= 9), python3-numpy, python3-protobuf
Breaks: imp-python3 (<< 2.13.0)
Replaces: imp-python3 (<< 2.13.0)
Filename: focal/imp_20230606.develop.5d113ecbfd-1_amd64.deb
Size: 52995760
MD5sum: a60a6d886a8703988982921f7a41bf5b
SHA1: a30091d2d9368e9d9e558213ffa3990963db5dca
SHA256: b700686aea8ead952d62eee3162c5336c3dbb0bde0338f2ea2cc51922285090c
SHA512: e1e850742186ce46b3cf818f0d95e81c0e995424405b2337fb76f272edc70b36d9e38b070b46ea6bac2ec1c0a10debfcd70777e09f6e6c3a9c094de4e9ccc43a
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
  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. Detailed structural
  characterization of assemblies is generally impossible by any single existing
  experimental or computational method. This barrier can be overcome by hybrid
  approaches that integrate data from diverse biochemical and biophysical
  experiments (eg, x-ray crystallography, NMR spectroscopy, electron microscopy,
  immuno-electron microscopy, footprinting, chemical cross-linking, FRET
  spectroscopy, small angle X-ray scattering, immunoprecipitation, genetic
  interactions, etc...).
  .
  We formulate the hybrid approach to structure determination as an optimization
  problem, the solution of which requires three main components:
    * the representation of the assembly,
    * the scoring function and
    * the optimization method.
  .
  The ensemble of solutions to the optimization problem embodies the most
  accurate structural characterization given the available information.
  .
  We created IMP, the Integrative Modeling Platform, to make it easier to
  implement such an integrative approach to structural and dynamics problems.
  IMP is designed to allow mixing and matching of existing modeling components
  as well as easy addition of new functionality.