Package: imp-dev
Priority: optional
Section: libdevel
Installed-Size: 7630
Maintainer: Ben Webb <ben@salilab.org>
Architecture: amd64
Source: imp
Version: 2.6.0-1
Depends: imp (= 2.6.0-1), 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_2.6.0-1_amd64.deb
Size: 1109758
MD5sum: 05336b5c5a9371446c6a17b1b4ab7da8
SHA1: 8d3ac92d6c552dd0160b6af3214f81d071675fb9
SHA256: e7659da024fbd978edb9d869560297283e4d743dee16ccae6badd28530de0f58
SHA512: 73d5c05930eb4b87cbc4480302a064bfc15b28e933edb7d3e6fa28a677cc5ca5b6ca9de85d71efe28587c2e3f08de41ce2980cbf24aaf9a5ee9b97127752a04f
Description: The Integrative Modeling Platform
 Headers to compile against IMP.
Homepage: http://integrativemodeling.org/

Package: imp-python3
Priority: optional
Section: libs
Installed-Size: 56285
Maintainer: Ben Webb <ben@salilab.org>
Architecture: amd64
Source: imp
Version: 2.6.0-1
Depends: imp (= 2.6.0-1), python3, python3-numpy
Filename: trusty/imp-python3_2.6.0-1_amd64.deb
Size: 7772450
MD5sum: 70f26e55a7fd937730e269d14aa4f94f
SHA1: 9d36535acf8c9a16ab21093149279f17848b1959
SHA256: d831819c40f85bd4221fa32dedfde05a54debda0700baf031e445deda89556f4
SHA512: d84411a15d3036dab7e3c1247473311ec893955972195d76daafb1c4fd51573c82eb8a802766d672fbf5ecfc59b57063192519fec66dd44e3baff0dfdac73d5c
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: 327611
Maintainer: Ben Webb <ben@salilab.org>
Architecture: amd64
Version: 2.6.0-1
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_2.6.0-1_amd64.deb
Size: 38741134
MD5sum: 28a9bd5798f84e3d85521463572d1334
SHA1: f62b021b82ca9d08aa6f97048e3d4d989ef9bd7a
SHA256: 046b8704f76ee397292c7cb1d3d67e0b169ff2118c82e15eaf4e9ac884a03458
SHA512: 4d4dd4caf7d0f2903707eb4fd61ceb40883d290af2d0eb8b63284fe300b952b838292b4b7fc46e0126510210fda02544e9da8239a98fe78f531b4b602f596adc
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/