Package: imp-dev
Architecture: amd64
Version: 20240419.develop.27926d84dc-1
Priority: optional
Section: libdevel
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 7030
Depends: imp (= 20240419.develop.27926d84dc-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_20240419.develop.27926d84dc-1_amd64.deb
Size: 931628
MD5sum: 528bf7eb3a1c248bc78006efb2f71537
SHA1: 8ddc1ff40cf84880391b6d57846626b65b09458e
SHA256: 2bc8ed990fafd86255f0e398219a83a85746bac03d8dca7eb1ef2f8d931a2333
SHA512: cd3ce463a301c10b1bed9629ebc1949882c9c11fd1b76213edde76bff2e0041966944690369d3eda2dddf5cd2481d1db1bab649f3e677261f1557bcc2ebbca01
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 Headers to compile against IMP.

Package: imp-openmpi
Architecture: amd64
Version: 20240419.develop.27926d84dc-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 12671
Depends: imp (= 20240419.develop.27926d84dc-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_20240419.develop.27926d84dc-1_amd64.deb
Size: 1506872
MD5sum: 98d075b20d4754b4bcc106f0ef9b7358
SHA1: f5d563436f93a3adf98006d023825d08bc1357c4
SHA256: a7f371c66e858b6119c620919f0cd9914fe59d543e52602d819a20be3d61af2e
SHA512: 21b6eed629930fc3320b1441b03e7d27227fe6b9a3227c7348b4138fbfc518aa89100b8ee6449ffc678f5468ec81730811b1195910b6928587dfc7d330396f53
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 IMP MPI module and dependents, for openmpi.

Package: imp-python2
Architecture: amd64
Version: 20240419.develop.27926d84dc-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 120610
Depends: imp (= 20240419.develop.27926d84dc-1), python-numpy, python-protobuf
Filename: focal/imp-python2_20240419.develop.27926d84dc-1_amd64.deb
Size: 15238716
MD5sum: 6aec0300fdde8607f11132a014c9fe3c
SHA1: c314ff20a004d9428c8fd901536c61abc8acb705
SHA256: a3be9438de576e81ba8ba4e0356ba7fc8678d368dde809566dd7354ae6fd2bcd
SHA512: 7c06ae6e7533f758932aa26d51fd8b6915ffcdbf8e14d9043cbdd79109a04af9763c7fc2b29d4a3e0fe38a02bd3e17c1325893f1ab56b2b63bf7a82016d134e2
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: 20240419.develop.27926d84dc-1
Priority: optional
Section: libs
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 473405
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_20240419.develop.27926d84dc-1_amd64.deb
Size: 53056832
MD5sum: 100cb76315ba11bf4f32ba424dc71496
SHA1: c23276e3ffbcdca285b3b99f3af2873e36851521
SHA256: 12cd71b4882edcebcad6bf977889732ce5f716aec646250e5e0a518785f65331
SHA512: 485667d5bea4664ccd9451120fad9dd266a04ad6c57046cd4b699873513e5635d4e374f310e4db1853437429b7bce045671696daf7eb009c818555cd9f52daca
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.