Package: imp-dev
Priority: optional
Section: libdevel
Installed-Size: 7845
Maintainer: Ben Webb <ben@salilab.org>
Architecture: amd64
Source: imp
Version: 2.7.0-1
Depends: imp (= 2.7.0-1), 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, libgsl0-dev, python-dev, libann-dev
Filename: trusty/imp-dev_2.7.0-1_amd64.deb
Size: 1139770
MD5sum: 2adee11f91839252e8536ebe2cd8d52d
SHA1: 9d811271759b6f57c7f0a364bbd4ece3cf7f5c8a
SHA256: 294778d632281b26527099b936ee2eceb489292f148b134e0a3662f1817cb3c7
SHA512: d9af30ed8d25ddc74d122234b767c55d59284de4c14b97b54d5ec6fb57648cb19ff7418d1e5e1580b53a0245b688b45ef1c9f282f6a1368f5bb57e3df8108399
Description: The Integrative Modeling Platform
 Headers to compile against IMP.
Homepage: https://integrativemodeling.org/

Package: imp-python3
Priority: optional
Section: libs
Installed-Size: 57500
Maintainer: Ben Webb <ben@salilab.org>
Architecture: amd64
Source: imp
Version: 2.7.0-1
Depends: imp (= 2.7.0-1), python3, python3-numpy
Filename: trusty/imp-python3_2.7.0-1_amd64.deb
Size: 7980090
MD5sum: 8636d8164960536bfa3b3d6d8bbe296f
SHA1: c29aa3afb614040e335c5e41a50964a46de20f7d
SHA256: 6ac8cd1cf47abe6e49177e7de3940fd3a5c54679c68acc4266df96bcea312f92
SHA512: ff10fb1879cfe6a63e35c6e141125e8415bd59a75451aa849c8b5e34899aab9636db84adb8c78154aa9ec0da0cd3ee960324ae2b77e64403102c5eec7942c4fd
Description: The Integrative Modeling Platform
 Wrappers for Python 3 (the base IMP package contains Python 2 wrappers).
Homepage: https://integrativemodeling.org/

Package: imp
Priority: optional
Section: libs
Installed-Size: 329341
Maintainer: Ben Webb <ben@salilab.org>
Architecture: amd64
Version: 2.7.0-1
Depends: libboost-filesystem1.54.0, libboost-graph1.54.0, libboost-iostreams1.54.0, libboost-program-options1.54.0, libboost-random1.54.0, libboost-system1.54.0, libboost-thread1.54.0, libc6 (>= 2.14), libcgal10, libfftw3-double3, libgcc1 (>= 1:4.1.1), libgmp10, libgomp1 (>= 4.4), libgsl0ldbl (>= 1.9), libhdf5-7, libmpfr4 (>= 3.1.2), libopencv-core2.4, libopencv-highgui2.4, libopencv-imgproc2.4, libstdc++6 (>= 4.6), python-numpy
Filename: trusty/imp_2.7.0-1_amd64.deb
Size: 39009462
MD5sum: 9d4417c4b334a75fc21fc85fee490d32
SHA1: 7d47cce0c72982465b3b658e6e8f37962b1f24f0
SHA256: 0d6ffc7c6a0f77a5efe22f54c85699c1472493f51d28b6fe9811b408cef25db9
SHA512: 9bb5d9c39f714d70f46c10b60752d53841605f2f4ea690f98c32b314ee06065b81833eaf59e9a54fa7d09651880d6aa27c1a2c1e3ef3dd24d283c6888b39c1ef
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.
Homepage: https://integrativemodeling.org/