Package: imp-dev
Priority: optional
Section: libdevel
Installed-Size: 4771
Maintainer: Ben Webb <ben@salilab.org>
Architecture: amd64
Source: imp
Version: 2.10.1-1
Depends: imp (= 2.10.1-1), 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, libeigen3-dev, libprotobuf-dev
Filename: trusty/imp-dev_2.10.1-1_amd64.deb
Size: 721952
MD5sum: 6c87cc32e52daae5e627b8085c76f48c
SHA1: ede47172492c4510711686ff5495eb14ad87a8d5
SHA256: b68952b38fbe7613de0310e6317abdda94a2cd847325533883ca8d95aa527fcd
SHA512: c3abccec33ecfdd07595395725fceee84ffe9da83d18342a66cd2dd30cdf1595d5b538ca0c14b998a87831125fe4b69c36eb0caa6a9d9f8805dd763ecac9b0d7
Description: The Integrative Modeling Platform
 Headers to compile against IMP.
Homepage: https://integrativemodeling.org/

Package: imp-python3
Priority: optional
Section: libs
Installed-Size: 62596
Maintainer: Ben Webb <ben@salilab.org>
Architecture: amd64
Source: imp
Version: 2.10.1-1
Depends: imp (= 2.10.1-1), python3, python3-numpy
Filename: trusty/imp-python3_2.10.1-1_amd64.deb
Size: 8637986
MD5sum: 9227bac4084e774f037cd36b70bfdc9b
SHA1: 0f85d1aef4d8690646fb48d6d3241c93e1b84dfa
SHA256: 339027eed4147dc4861bee5bfb9f38d9e542b5e9a5f74fbdac570a013eeb0688
SHA512: 2b65bec545906e1bf13df35673e59957851165d5a250ce3fdd83e3f662d0c488129786f5a300c8dec0ca275ebe748f93a772f3b42d6cebdba51081d1d8d776f7
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: 409431
Maintainer: Ben Webb <ben@salilab.org>
Architecture: amd64
Version: 2.10.1-1
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, libprotobuf8, libstdc++6 (>= 4.6), python-numpy, python-protobuf
Filename: trusty/imp_2.10.1-1_amd64.deb
Size: 44449648
MD5sum: a02cc49d346450f2bd0a1bccf2155d0b
SHA1: 2636fffd4bc6c051ade8853ccf0b0b8771ca2c2b
SHA256: 368d8b972c53fe384b97aedff78f83d776190e8b53e13b4a2dd99d4cb5b3707c
SHA512: 1eb63e36dd6ce98a51d411b26a83c561ea4820be7a9e5e0e6bc5f573705fb18c94bf4b4e9d10c3186ec1ea9fcd856c4fea7b5718dcb71fe406ec28a9e132219d
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/