Package: imp-dev
Priority: optional
Section: libdevel
Installed-Size: 7971
Maintainer: Ben Webb <ben@salilab.org>
Architecture: amd64
Source: imp
Version: 2.5.0-1
Depends: imp (= 2.5.0-1), 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-serial-dev, libfftw3-dev, libopencv-dev, libgsl0-dev, python-dev, libann-dev
Filename: precise/imp-dev_2.5.0-1_amd64.deb
Size: 1588054
MD5sum: 07c1b998f23615e0dbc0813823a166ee
SHA1: 5e13ab598d0caefbfe0d855960d1fab94185d5ea
SHA256: 5a127fb4dfa88548b3508fbde7415ed134f8811e10d475b50d7cc835d9c7a6ac
SHA512: aca51cf41507c5a2e6e7e6e6f0ce27a0b28376be59efc777ec0e563e0d7337957b03a831a3a410bff632f2eab8bb624e166ea0e5c861e435e08e5898fafce19b
Description: The Integrative Modeling Platform
 Headers to compile against IMP.
Homepage: http://integrativemodeling.org/

Package: imp-python3
Priority: optional
Section: libs
Installed-Size: 54630
Maintainer: Ben Webb <ben@salilab.org>
Architecture: amd64
Source: imp
Version: 2.5.0-1
Depends: imp (= 2.5.0-1), python3, python3-numpy
Filename: precise/imp-python3_2.5.0-1_amd64.deb
Size: 13802132
MD5sum: cae9c2e23a5d009297970eb70fd7f259
SHA1: 80908503ea61d675831e7e29b4a23dc285e943d4
SHA256: 473351685e72f2600594f4990cc0a0b067a9879f7275a4539198a6cb92445b9e
SHA512: 4c477c297b3f17e47c706beb993e6b056b6b5f6c3714ad8b02b4de0603482cefc5f826d0cc5084182484e5c0bd2b175b2af4240dbfaf64976d043eae02372bac
Description: The Integrative Modeling Platform
 Wrappers for Python 3 (the base IMP package contains Python 2 wrappers).
Homepage: http://integrativemodeling.org/

Package: imp
Priority: optional
Section: libs
Installed-Size: 321346
Maintainer: Ben Webb <ben@salilab.org>
Architecture: amd64
Version: 2.5.0-1
Depends: libboost-filesystem1.46.1 (>= 1.46.1-1), libboost-graph1.46.1 (>= 1.46.1-1), libboost-iostreams1.46.1 (>= 1.46.1-1), libboost-program-options1.46.1 (>= 1.46.1-1), libboost-random1.46.1 (>= 1.46.1-1), libboost-system1.46.1 (>= 1.46.1-1), libboost-thread1.46.1 (>= 1.46.1-1), libc6 (>= 2.14), libcgal8, libfftw3-3, libgcc1 (>= 1:4.1.1), libgmp10, libgomp1 (>= 4.4), libgsl0ldbl (>= 1.9), libhdf5-serial-1.8.4 | libhdf5-1.8.4, libmpfr4 (>= 3.1.0), libopencv-core2.3, libopencv-highgui2.3, libopencv-imgproc2.3, libstdc++6 (>= 4.6), python-numpy
Filename: precise/imp_2.5.0-1_amd64.deb
Size: 63536734
MD5sum: e789414fa8267bcba92f3b219607ebe5
SHA1: 362282358fe14e04356a1398bcaaf2e7cc2f4709
SHA256: 583ba9cbbdada12e9055c852f5cc774481ff1e0ea328e2b32f29663b3008e0ca
SHA512: 4a4cf581082d4051d05768b1c9ce3d2470dbc23c8be19fcd6f6ee312edb4b76b8cc0c0b0d0f8e5b17f92f28e8cf645b98eb71af2d842aa81674a4470ea539002
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: http://integrativemodeling.org/