Package: imp-dev
Architecture: amd64
Version: 2.20.0-1
Priority: optional
Section: libdevel
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 7027
Depends: imp (= 2.20.0-1), 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, libgsl-dev, python3-dev, libann-dev, libeigen3-dev, libcereal-dev, libprotobuf-dev
Filename: jammy/imp-dev_2.20.0-1_amd64.deb
Size: 950430
MD5sum: cbb47cf1e8b1e82360a39e823a1671b4
SHA1: 07dbb37900193df9da678f024a93947bd389a5f5
SHA256: a3261f0dad7ef5fce50230869625b661d9a2d654355efab116c39f81beccc2b5
SHA512: 02727e12bd24cffabc962e27cf2899c4d7f2b402104f0019c614ebb6ac350e8133c93f52d08102be3a641032bc90b84df8f6ba44b082190c26e63f8284eedf8a
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 Headers to compile against IMP.

Package: imp-openmpi
Architecture: amd64
Version: 2.20.0-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 12422
Depends: imp (= 2.20.0-1), libboost-filesystem1.74.0 (>= 1.74.0), libboost-program-options1.74.0 (>= 1.74.0), libc6 (>= 2.34), libgcc-s1 (>= 3.0), libgomp1 (>= 4.2.1), libopencv-core4.5d (>= 4.5.4+dfsg), libopencv-imgcodecs4.5d (>= 4.5.4+dfsg), libopenmpi3 (>= 4.1.2), libstdc++6 (>= 11)
Filename: jammy/imp-openmpi_2.20.0-1_amd64.deb
Size: 1673480
MD5sum: d0cd846e851dabfe1d02ded84925d402
SHA1: 6caa41c4eff5532d3c2c3a9038e0a3b225efe9ff
SHA256: b5fbbd79478d9f5338c142a35bcd95acab67c8feb4150876f493e5bd31503836
SHA512: f150fb7977590f9fae24bddffdce46524c1bc4b0e556afa5212204c719c0941f8a9d7bc14673db6416a730199844b342616d0dafaa5af63a6f90effa1ea1dcc9
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 IMP MPI module and dependents, for openmpi.

Package: imp-python2
Architecture: amd64
Version: 2.20.0-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 115641
Depends: imp (= 2.20.0-1)
Filename: jammy/imp-python2_2.20.0-1_amd64.deb
Size: 16497912
MD5sum: b2c8066e2a3b21a5efb19eea9a064ec2
SHA1: ce8b3f4bd453623500b92de3e41fc2cfa71ee1d1
SHA256: d8868b78277516f875b1fd156eeb06959e7438a0481e70be4fc8e49d5f32112e
SHA512: 2c38749c631fae6f688e1b60256cc2fe2b91e4fb061a3e8ca453cd43532a00b8949063263ad5f201e7dfd7c430ee263cc8b2917fd7268126b890e03c5fff1260
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: 2.20.0-1
Priority: optional
Section: libs
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 467453
Depends: libboost-filesystem1.74.0 (>= 1.74.0), libboost-graph1.74.0 (>= 1.74.0), libboost-iostreams1.74.0 (>= 1.74.0), libboost-program-options1.74.0 (>= 1.74.0), libboost-random1.74.0 (>= 1.74.0), libc6 (>= 2.34), libfftw3-double3 (>= 3.3.5), libgcc-s1 (>= 4.0), libgmp10 (>= 2:6.2.1+dfsg), libgomp1 (>= 4.9), libgsl27 (>= 2.7.1), libhdf5-103-1, libmpfr6 (>= 3.1.3), libopencv-core4.5d (>= 4.5.4+dfsg), libopencv-imgcodecs4.5d (>= 4.5.4+dfsg), libopencv-imgproc4.5d (>= 4.5.4+dfsg), libprotobuf23 (>= 3.12.4), libstdc++6 (>= 11), python3-numpy, python3-protobuf
Breaks: imp-python3 (<< 2.13.0)
Replaces: imp-python3 (<< 2.13.0)
Filename: jammy/imp_2.20.0-1_amd64.deb
Size: 57392688
MD5sum: c8a13eea9ee3a9cb71efc95050ba6c33
SHA1: 9ea641f9a5f2e60db3b7baaf97946d8bed2049c1
SHA256: 5b56bfbea30a77811f0dd146d6cb575bd560f76a90100843e08ffbc43f01526a
SHA512: 3a474846729bd5cc7416179a6ce18f1a3ba7a27a408d4898d3a04f147ac69110fa3ff9afac433608c0aaa60ae72269ffbfe49278e3e7f7076e5db6e8aac8eba6
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.