Package: imp-dev
Architecture: amd64
Version: 2.20.2-1
Priority: optional
Section: libdevel
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 6980
Depends: imp (= 2.20.2-1), 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: noble/imp-dev_2.20.2-1_amd64.deb
Size: 942712
MD5sum: 2b12f5cba3858fc65fbeea33d6eccbdb
SHA1: 45792be44e4848b33d6206c0a606763955e650d9
SHA256: 44c19c0b8138710aad7163ebbe3f59065e0e440791744c7ecb7a706801531720
SHA512: 04532e6b03a7bd450a907ce02c47b52d2f013865ff5eb388099bb1cc0b9c9659947487152ab624ba86cb9d49ca885df4d821e80a476a4d222234c9483d52a5c0
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 Headers to compile against IMP.

Package: imp-dev
Architecture: arm64
Version: 2.20.2-1
Priority: optional
Section: libdevel
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 6980
Depends: imp (= 2.20.2-1), 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: noble/imp-dev_2.20.2-1_arm64.deb
Size: 942796
MD5sum: 81d75c387ed012dc7c1563aa09e7d85c
SHA1: e2e961511315e11eaaa3d2a51cfcc8259189b1f0
SHA256: d4cf2c407e6990c36cf212ed1753104732589a5ed8d7e7a1e34669a1267fe2f1
SHA512: 523531476608e634c15ba93922f2924ac4a4b765b5fe5667d7236a0339febefdf970341cb0fd5bd47bb9b1aaf1a53d1bba598e2836b2971070fc3503cc70ae11
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 Headers to compile against IMP.

Package: imp-openmpi
Architecture: amd64
Version: 2.20.2-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 11888
Depends: imp (= 2.20.2-1), libboost-filesystem1.83.0 (>= 1.83.0), libboost-program-options1.83.0 (>= 1.83.0), libc6 (>= 2.38), libgcc-s1 (>= 3.0), libgomp1 (>= 4.2.1), libopencv-core406t64 (>= 4.6.0+dfsg), libopencv-imgcodecs406t64 (>= 4.6.0+dfsg), libopenmpi3t64 (>= 4.1.6), libstdc++6 (>= 13.1)
Filename: noble/imp-openmpi_2.20.2-1_amd64.deb
Size: 1591096
MD5sum: 30c48cb88e9d6d0e37cee2ce02a359ea
SHA1: 790322dcf86ba26d1ccb8e0d76527d34d582363e
SHA256: 1b2d1dce87574873b67020f07243f64d1f06e08363e32efae597b205685f67fd
SHA512: ae7991e53eaab0fecb0b12b02f042d57042ad51bf43238b6148d7d9e373d2b6cb5760984b9dd57b37925d1ee07552317fba178fa0cfbc492bb926ccab20651df
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 IMP MPI module and dependents, for openmpi.

Package: imp-openmpi
Architecture: arm64
Version: 2.20.2-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 11377
Depends: imp (= 2.20.2-1), libboost-filesystem1.83.0 (>= 1.83.0), libboost-program-options1.83.0 (>= 1.83.0), libc6 (>= 2.38), libgcc-s1 (>= 4.5), libgomp1 (>= 4.2.1), libopencv-core406 (>= 4.6.0+dfsg), libopencv-imgcodecs406 (>= 4.6.0+dfsg), libopenmpi3 (>= 4.1.6), libstdc++6 (>= 13.1)
Filename: noble/imp-openmpi_2.20.2-1_arm64.deb
Size: 1506076
MD5sum: 65318c59011ff155a02071ce4136955d
SHA1: 0ceaeea1517df851de3fbf1e12f9957274def17d
SHA256: fc144e4b435e237f11a05d8b22e31ac818a9b68dea6a620135a8389e9903f374
SHA512: 4d0773c441bdecd5a90a3f7a44215e19a82d877ce893e15fdc3fb67179e688549013b155da50c57542644277a2404fbe135f090810cae2b161cb3e3b22642d09
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 IMP MPI module and dependents, for openmpi.

Package: imp
Architecture: amd64
Version: 2.20.2-1
Priority: optional
Section: libs
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 463274
Depends: libboost-filesystem1.83.0 (>= 1.83.0), libboost-graph1.83.0 (>= 1.83.0), libboost-iostreams1.83.0 (>= 1.83.0), libboost-program-options1.83.0 (>= 1.83.0), libboost-random1.83.0 (>= 1.83.0), libc6 (>= 2.38), libfftw3-double3 (>= 3.3.10), libgcc-s1 (>= 4.0), libgmp10 (>= 2:6.3.0+dfsg), libgomp1 (>= 4.9), libgsl27 (>= 2.7.1), libhdf5-103-1t64, libmpfr6 (>= 3.1.3), libopencv-core406t64 (>= 4.6.0+dfsg), libopencv-imgcodecs406t64 (>= 4.6.0+dfsg), libopencv-imgproc406t64 (>= 4.6.0+dfsg), libprotobuf32t64 (>= 3.21.12), libstdc++6 (>= 13.1), python3-numpy, python3-protobuf
Breaks: imp-python3 (<< 2.13.0)
Replaces: imp-python3 (<< 2.13.0)
Filename: noble/imp_2.20.2-1_amd64.deb
Size: 56851644
MD5sum: 289be716409a80b546c6e94c9546a54c
SHA1: dcd87c2aaf8b1c0db4737d55fcc173199ad4c2b6
SHA256: e681d579e852b265f462a60c41a972fc875ac789b135897e120d4bb829d9b656
SHA512: aa1e8d8c1a45eae12ddd56391f2a1fb0d8ae484a20b691f88021d291c87035f579088b6cf9ac2b928ed5970a01b5c53b5622641dcc315f8a6000b49260125145
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: 2.20.2-1
Priority: optional
Section: libs
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 457582
Depends: libboost-filesystem1.83.0 (>= 1.83.0), libboost-graph1.83.0 (>= 1.83.0), libboost-iostreams1.83.0 (>= 1.83.0), libboost-program-options1.83.0 (>= 1.83.0), libboost-random1.83.0 (>= 1.83.0), libc6 (>= 2.38), libfftw3-double3 (>= 3.3.10), libgcc-s1 (>= 4.5), libgmp10 (>= 2:6.3.0+dfsg), libgomp1 (>= 4.9), libgsl27 (>= 2.7.1), libhdf5-103-1, libmpfr6 (>= 3.1.3), libopencv-core406 (>= 4.6.0+dfsg), libopencv-imgcodecs406 (>= 4.6.0+dfsg), libopencv-imgproc406 (>= 4.6.0+dfsg), libprotobuf32 (>= 3.21.12), libstdc++6 (>= 13.1), python3-numpy, python3-protobuf
Breaks: imp-python3 (<< 2.13.0)
Replaces: imp-python3 (<< 2.13.0)
Filename: noble/imp_2.20.2-1_arm64.deb
Size: 55077358
MD5sum: 606793757240483bc40317d2bc91dfbe
SHA1: 33d79306236cd241490db8f828af97ebca3cd137
SHA256: 077a372e1df3906de7b86da1673c92b6d42a2e8aef4692fcf6c44ba9ac51dd55
SHA512: 67f8dc05c457e2537a7a4829f3612975519dcc87d9f7fd12355389d49d38b0e1e5b129ae05b64a232a6da75340d0e5fd845c801ecf4e1236b487a7338227b8dc
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.