Package: imp-dev
Priority: optional
Section: libdevel
Installed-Size: 7975
Maintainer: Ben Webb <ben@salilab.org>
Architecture: amd64
Source: imp
Version: 2.4.0-1
Depends: imp (= 2.4.0-1), 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: ./imp-dev_2.4.0-1_amd64.deb
Size: 1102266
MD5sum: 057c758f4dd309ff79b4c2899e8bc9d7
SHA1: 9ccff387276091c47483693d2fdc3e7e8d642e5d
SHA256: c09db3f5e9d9ef678f01118e175bab60b2610e4a7420079ba78a16bf5779d56f
SHA512: 8e5be0a1b1fb704fee3d6893ad43e7a25d466074351cf1d52883592f8412bcc93c6d204068141df5e962beb1d2a6dd616bbd812dd62b8355fc32f3fcf39d1308
Description: The Integrative Modeling Platform
 Headers to compile against IMP.
Homepage: http://integrativemodeling.org/

Package: imp-python3
Priority: optional
Section: libs
Installed-Size: 56147
Maintainer: Ben Webb <ben@salilab.org>
Architecture: amd64
Source: imp
Version: 2.4.0-1
Depends: imp (= 2.4.0-1), python3, python3-numpy
Filename: ./imp-python3_2.4.0-1_amd64.deb
Size: 7725128
MD5sum: ad22f4209b5a60b4034504ecf198743a
SHA1: bffe5d33432916a85e29341a1ce75f2a5997922e
SHA256: 9a958a61296397914d74cc32e0e7e742eeb71b8ed9ff423cc46ead3121ca160c
SHA512: 898fd05efd9a38e8b1da26e06dafa3aede451da83916d1e6f61ee079fe8b1aef211cb6e5f985c84af83e196fe76c2f9541ded5c43f0a6e8f84c188e5f49cb7c9
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: 321576
Maintainer: Ben Webb <ben@salilab.org>
Architecture: amd64
Version: 2.4.0-1
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, 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: ./imp_2.4.0-1_amd64.deb
Size: 36904736
MD5sum: f9118d066dc839497e88db142ad04112
SHA1: 1949dc9c8535891027c0599ba9130af1b229c829
SHA256: c5bc16eadc238d1a84be5fd6d061eb4596966bb96295f95f40b8a1cfa89bb377
SHA512: 61b463f58f6910967bb2d23889a8d00d5ea421c3a573f0a2c99be14d296cbc09919ea50d24d65441bf77a009a598c086e7ca9e184a0da8ac4fcd57b92e0513c6
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/