Package: imp-dev
Priority: optional
Section: libdevel
Installed-Size: 7938
Maintainer: Ben Webb <ben@salilab.org>
Architecture: amd64
Source: imp
Version: 2.8.0-1
Depends: imp (= 2.8.0-1), 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_2.8.0-1_amd64.deb
Size: 1152510
MD5sum: 24850a8db0277e12253415756b253acb
SHA1: c44ff9486b3b21161f9b7bea6188286bcb8a505a
SHA256: 9f6a613e309bb14a96d705b8bbe7542015e53668b7fd23299de07c8a70b74384
SHA512: 296a5749be782425b7dc9800ccf9746f6bb7f0304ee407e5ab513f10fd60287d634fd6b1d968c5d6bb1b18e78820041d3a60d08463ccafa80aea39c12a03bec9
Description: The Integrative Modeling Platform
 Headers to compile against IMP.
Homepage: https://integrativemodeling.org/

Package: imp-python3
Priority: optional
Section: libs
Installed-Size: 55953
Maintainer: Ben Webb <ben@salilab.org>
Architecture: amd64
Source: imp
Version: 2.8.0-1
Depends: imp (= 2.8.0-1), python3, python3-numpy
Filename: trusty/imp-python3_2.8.0-1_amd64.deb
Size: 7805796
MD5sum: 8e54eb8a36156777d59e271775328a5d
SHA1: 7b00d8d835dcf13833538d1050c894c4f6f40458
SHA256: 3d0918990485144286a50f7c09e27ec7ae4139d858ff2a65ac2db1c8576969fe
SHA512: 32a246fe7c9ea8468da001050926412db331d9c1399c685fee48bd2ad186a7cc4bab90b551b7f8fbbd87f85cceab68ff7ce6ccaaae579cd8abf41d34d76a4c83
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: 327887
Maintainer: Ben Webb <ben@salilab.org>
Architecture: amd64
Version: 2.8.0-1
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_2.8.0-1_amd64.deb
Size: 38947296
MD5sum: 99950028d30da5a501085efc6bb13240
SHA1: d22319b93379966d1d6ddb2f7dc3c50ec138bbc1
SHA256: 1ebaf793b3c2a2db74ce0fce43b95d4ab19836f3745cce2973a1ea8eef64e2fb
SHA512: fe1ce1842a25e5bd29bdddade74d576a62fe335518e5fa8eadb55fbe8c1dc13a993a2bd38954bd0b9f69da752450527ee8d3437654304810086bc71392e12637
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/