Package: imp-dev
Priority: optional
Section: libdevel
Installed-Size: 4780
Maintainer: Ben Webb <ben@salilab.org>
Architecture: amd64
Source: imp
Version: 2.11.1-1
Depends: imp (= 2.11.1-1), 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_2.11.1-1_amd64.deb
Size: 723000
MD5sum: 112c6a806106eb7979ceaa0710c9e0a6
SHA1: 6e8c6ef09e2fdb1b79a0fe704f843ec3179fa912
SHA256: 9e138867e53738e783e88832c65bf9d543d7c9da9287dae25790509e1aff3603
SHA512: 8b540b5473a839a7ae9198b4355ea97aed9973e00d509f424a1d3a40e845acb64ca14b928b81876e9989394b2f3044abfda03732f135b196721824949281607d
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: 2.11.1-1
Depends: imp (= 2.11.1-1), python3, python3-numpy
Filename: trusty/imp-python3_2.11.1-1_amd64.deb
Size: 8646238
MD5sum: 537d8be96dc3c0034a023921b3c402ce
SHA1: d8bfdcddc33d426bf80f5e84c1ec41b0478ee19f
SHA256: 2b878b0134833da9c9cfa0df439ae53a49e51ac35352fb2dd5f06b6ea38bb6bc
SHA512: 0e06fec06b7f7bf7743331708d0f5a52ac308f79d1fb0fec68765cf06cc2c68d50570ab67e737ac4871927be04f0b8138272558efc4226efb4e2794e07a02757
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: 410223
Maintainer: Ben Webb <ben@salilab.org>
Architecture: amd64
Version: 2.11.1-1
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_2.11.1-1_amd64.deb
Size: 46443510
MD5sum: a96bfee0526946f65dd995e93d7bafc5
SHA1: f580221d420d0cb4127d70b15d130eee00bfaaa9
SHA256: b3beffd7716c1e1872f24a9ef47ee7436156fed5ddde24533480b0495f8ac8d2
SHA512: 584c8022e15cfdf718b90a483ef8934bb0c15cca9a11d8cf9e95e4a4c32b3670b1b153c8286af9cb3610a5601c47cade812a62a9024a5bc76bad2f8450800cf7
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/