Package: imp-dev
Priority: optional
Section: libdevel
Installed-Size: 4780
Maintainer: Ben Webb <ben@salilab.org>
Architecture: amd64
Source: imp
Version: 2.11.0-1
Depends: imp (= 2.11.0-1), 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, libeigen3-dev, libprotobuf-dev
Filename: trusty/imp-dev_2.11.0-1_amd64.deb
Size: 723106
MD5sum: 9dd010ed9bd5e5d25b1f65596895c7b2
SHA1: d53d3352b9d1d0e05d3306301355356be7dc7390
SHA256: e60e46e58d96135737f7e872d1edf0c38cfa4e09b5dac5f9fe1895efc5e17ba8
SHA512: d6045818bc5a55f892c98af43b1e740b87fde99348d6e35048e4c35b709623a00108581657a819288ff6ccdabe1cc577ca76506826c694512c929b1d1f7718bc
Description: The Integrative Modeling Platform
 Headers to compile against IMP.
Homepage: https://integrativemodeling.org/

Package: imp-python3
Priority: optional
Section: libs
Installed-Size: 62653
Maintainer: Ben Webb <ben@salilab.org>
Architecture: amd64
Source: imp
Version: 2.11.0-1
Depends: imp (= 2.11.0-1), python3, python3-numpy
Filename: trusty/imp-python3_2.11.0-1_amd64.deb
Size: 8636320
MD5sum: a5b3e31b2fe81f1dd58ab9538e500349
SHA1: 3f40bd09190711d80d2344c4779c11348e8118ec
SHA256: 739e37dce9cda86fa41907407d55b594252d1234f6cf585e717a8fc140458460
SHA512: 4d0c9ab88aa978bef8b096d34051ad2739bf6bd250635425194213c30ba83b3f3237947b14c7fee524230ee16561537861dc8d2da3527c6e83b2bd1854b1eecb
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: 410214
Maintainer: Ben Webb <ben@salilab.org>
Architecture: amd64
Version: 2.11.0-1
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, libprotobuf8, libstdc++6 (>= 4.6), python-numpy, python-protobuf
Filename: trusty/imp_2.11.0-1_amd64.deb
Size: 46334442
MD5sum: 2f04fddaeee347eb53c437af6624f1d9
SHA1: e1e56813497946eda286aa35fa9d9852e162c198
SHA256: 301717ae24c2f399f3f80b5831acafde04ffff9b6b04a30273ce0765e88fb99e
SHA512: 899074cecaa4428f7e033dcc470ed3fada39bed75b4fa8a2941ab6337dff8154610e562ac68e917e90ae05e33f03f42d1e1923fabcd1e32c44688ca5fd1a476f
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/