Package: imp-dev
Architecture: amd64
Version: 2.20.1-1
Priority: optional
Section: libdevel
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 7031
Depends: imp (= 2.20.1-1), 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_2.20.1-1_amd64.deb
Size: 933648
MD5sum: bb7ab9b5b00a56fb58eaa1b4cdf68a34
SHA1: da80a33a2f577172ac2fb306840a9e5eb59f2e53
SHA256: cec857b4ab1d0d9dca45d025312de22d9af2b3518a0e2a9e4a7386ebf46f0d54
SHA512: cc7ea41d0421c49e7cfc6fab695e1e4e70bbf83e49b98d009d42333e5aa7dfa899d4950df92206994ce33707cc046b5781e0da8233607725e1aeb034ce3076e3
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 Headers to compile against IMP.

Package: imp-dev
Architecture: arm64
Version: 2.20.1-1
Priority: optional
Section: libdevel
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 7028
Depends: imp (= 2.20.1-1), 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_2.20.1-1_arm64.deb
Size: 933620
MD5sum: bc6c7d768fdf92988ff7b3f903f712a5
SHA1: 739022f77ce4fda23199e10d6fd8db384894c468
SHA256: 246a6109bbc1d27700f132f61cfd27c5605e9a174f1f4c5b01a9800b3dea4edf
SHA512: fa3661aeab6cdf580153765af1cdfce7d441a5aa52a37ef7b48ee0a0370fdc388a785f795e959c12f4ec9d91c4409f45286b5bf1ac06488d25f9452500469840
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 Headers to compile against IMP.

Package: imp-openmpi
Architecture: amd64
Version: 2.20.1-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 12591
Depends: imp (= 2.20.1-1), 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_2.20.1-1_amd64.deb
Size: 1505704
MD5sum: 961b6ea6147dcc1dc53478f264694eb9
SHA1: 6b4bc359b36acb49494bdecd7374dca14f256b2c
SHA256: bb234ff882b268f23715b855b70228065fdc4ad8c46874719d8998e1957e76cb
SHA512: e4b4ba69b7c2175dc040cf522f3a0abdd0a740eed259887a33f3ffc1e4c4f5fce2a93a87928a605cf4298c65075126b11641a4e56c148383848d7ca9a33b2b5e
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 IMP MPI module and dependents, for openmpi.

Package: imp-openmpi
Architecture: arm64
Version: 2.20.1-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 11616
Depends: imp (= 2.20.1-1), libboost-filesystem1.71.0, libboost-program-options1.71.0, libc6 (>= 2.29), libgcc-s1 (>= 4.5), 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_2.20.1-1_arm64.deb
Size: 1365780
MD5sum: 7b82425425c877244cafac89ab59b88d
SHA1: 2266ad587d4ebccb9d1ceaaddf92d988e866c03f
SHA256: c36d4907907f90537685b65a729b4b8ffa270dccf04d9de69d661c4f2d892b59
SHA512: 1adadc45793fd4ec8ca9133537f675ed6d6839e9737e8847b8c5ccdf5aa480ca7b7a22e54eace21178ce58d74885a0459d58426a7a910fe54930046a49acc01c
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 IMP MPI module and dependents, for openmpi.

Package: imp-python2
Architecture: amd64
Version: 2.20.1-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 118974
Depends: imp (= 2.20.1-1), python-numpy, python-protobuf
Filename: focal/imp-python2_2.20.1-1_amd64.deb
Size: 15154660
MD5sum: 59b2f64debbd3ef7b8de38069d86769e
SHA1: fd50fee144cfa78c7a1aaca7bbac9a660a54094d
SHA256: ab0f6b0412f1b829af45f9c790c1c5c481b7f7c8a1649a603a319f345ee3eb05
SHA512: 3d1f0181145abcc02f418abfbfc7ff9f501ab0c555a58a180da3d6e8784a8dd5531b6334b3c76cb2b52e472614646cbb32d18216bd09b39d06e7837f1b691174
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 Wrappers for Python 2 (the base IMP package contains Python 3 wrappers).

Package: imp-python2
Architecture: arm64
Version: 2.20.1-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 110884
Depends: imp (= 2.20.1-1), python-numpy, python-protobuf
Filename: focal/imp-python2_2.20.1-1_arm64.deb
Size: 13321608
MD5sum: b2b3ab0e156d654e22814ecb1cab8708
SHA1: 2a944309485afe4e5fb75b0ad3886b20b32c710a
SHA256: d49988509947dd5d6dae6c8044d3d339b6690740b346de09e72629b56794c142
SHA512: e57f946c568ecb64d43f27bab0dda7059ea1f5adadcff09d27e4120c967d6fd5d37710e72ecb126c43873283acc217733cc187d9e77ba757361517089eeff751
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: 2.20.1-1
Priority: optional
Section: libs
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 471717
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_2.20.1-1_amd64.deb
Size: 53016368
MD5sum: 028e180ce33daadcdb2342e9a06fd503
SHA1: d6853767002e5246edbac9ac0fd64110cc33cac8
SHA256: c9a83f46b24ac7778d1063c68ed8496adec48d664ad42bf020f637cec9f5a72f
SHA512: f1f4bcfa49490d071eff3d2eae384333c9e5a9e945d96f7d74fe1f11fb560788df21fac9701d0ae57ef6aca2f6860e94bf6797a14b8f67aa21eb6e9a650ef343
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.

Package: imp
Architecture: arm64
Version: 2.20.1-1
Priority: optional
Section: libs
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 458991
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 (>= 4.5), 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_2.20.1-1_arm64.deb
Size: 50979740
MD5sum: 65b9cf6597b56e0abe872b2e147dbce4
SHA1: afb6a7c7a5d0700b8807238f2400bd0d17759664
SHA256: b5a594a607b0570c5faf3f317287592fab6906a08364f45b9e3286f949f636ca
SHA512: ee331296b580c555966bf3eb1a73492614f415c6924dd578d0bc03d750dbcf17d223bcdd60f984301012a03bad7183fca97d7bac444cd69cbb348f9bbdda3ca8
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.