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-dev, libfftw3-dev, libopencv-dev, libgsl0-dev, python-dev, libann-dev
Filename: trusty/imp-dev_2.5.0-1_amd64.deb
Size: 1111164
MD5sum: f5c81d29b07418b88680be5f2bbf5480
SHA1: 31a45fe4cb7e8f7eb2c372b4ed3f27621be357a7
SHA256: be9bd7aaf23000b80bf77762c8c37aa1c2f94c3b203a0ef44566fa7fcdb3bde7
SHA512: d71250dcadf945ba82a5da4a38388753c31607b38c5d70313fc925f7c46f841677f564b48f22ef6f40be2092317ac264d5d2b33cd61e98627074b3ee7533bbbc
Description: The Integrative Modeling Platform
 Headers to compile against IMP.
Homepage: http://integrativemodeling.org/

Package: imp-python3
Priority: optional
Section: libs
Installed-Size: 56131
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: trusty/imp-python3_2.5.0-1_amd64.deb
Size: 7829104
MD5sum: 57e7b9834f7593293c3e648d3c858060
SHA1: 1f17829fdcdb6c5876703c655c4f42763340ba5a
SHA256: ca61891ceaa3b2ac4c9c6f9016cfa4af2345265981a0b2554745cedf75c3bf37
SHA512: 6eaf401bf70697b22f6f1ff5775dda53eef79079e100db2e995a32f5331c4ba3ee1407ee80b794fe0316cf1d556e18a5931989d70b65987749037e512c1b605f
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: 322012
Maintainer: Ben Webb <ben@salilab.org>
Architecture: amd64
Version: 2.5.0-1
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_2.5.0-1_amd64.deb
Size: 36982910
MD5sum: 909d6a985f37bffe87b5ac07c0a9ba7b
SHA1: a8e2b86d44e33f6f69ab3f5b76c5976ce1e79a83
SHA256: c56df7de3651ff60707759a5eff5ce8dd2a3f3ea875fdbeb9d33d335f6a02255
SHA512: dad7ba8f9edc8faa5beb2c3d3200b6f8247abc33c85edeb308703a810be85c3b1a4fbad4da6e8e0834c09db2050bbb7e5b2f08859bb791af8da3666f4299f259
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/