Package: imp-dev
Priority: optional
Section: libdevel
Installed-Size: 4771
Maintainer: Ben Webb <ben@salilab.org>
Architecture: amd64
Source: imp
Version: 2.10.0-1
Depends: imp (= 2.10.0-1), 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_2.10.0-1_amd64.deb
Size: 721992
MD5sum: 9352e81fd9d15fbe7a5a9bbacd7c28d9
SHA1: b141140a2deafdc642c1d0440200fc1a350700bb
SHA256: e5eb1b3ba82901b25280f957f8555d7452eb06a0330c1e7097f11e5d17df80ea
SHA512: d4a9d85ae8300b80f72bc2ef20f20f5656fdac6be027af2998522a7448a76cfdff9f9564ce1c8077cf5ee57c2a684e68acd1a7d32691072b2485fa3751a21bf6
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: 2.10.0-1
Depends: imp (= 2.10.0-1), python3, python3-numpy
Filename: trusty/imp-python3_2.10.0-1_amd64.deb
Size: 8630458
MD5sum: 93ae53f9a73583a947842d2e2fad54cd
SHA1: 7a8ebf8bddc41a235052d23dc550a6cd42f41d8e
SHA256: b6e847649db22f0e003fff85b9f39a2d8505dc87ca7091ef1828fb676bcc3a1f
SHA512: a3fb41c3b86ef5f38ca997152c659184e2dfe89aa82b0bc344da4f00bfc99b27279543798f91d92307b3d4881f7faafd11ffd370fe3ddcf15b39820d1b05244c
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: 409430
Maintainer: Ben Webb <ben@salilab.org>
Architecture: amd64
Version: 2.10.0-1
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_2.10.0-1_amd64.deb
Size: 44475756
MD5sum: 0c15ad0aee99de007b3a018a17de212a
SHA1: 1e2528228420c72506f93f43231ccff7fae80c6e
SHA256: 070b98a50e7181c5e10e0db7d34f77bdaee3fc5ebcebc2f090397ff3bdc9c819
SHA512: 9ecfe70f07ec8497a93fc9b9e8c00795e9f3eb4201a9e37ca8640eab8ee5f5c8aee06c3c285ec4e377c48301d57056cbc21eeb52e7a48dad5576fab0a9d0a127
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/