Package: imp-openmpi
Architecture: amd64
Version: 20210825.develop.aeee47647b-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 4995
Depends: imp (= 20210825.develop.aeee47647b-1), libboost-filesystem1.58.0, libboost-program-options1.58.0, libboost-system1.58.0, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libopencv-core2.4v5, libopencv-highgui2.4v5, libopenmpi1.10, libstdc++6 (>= 5.2)
Filename: xenial/imp-openmpi_20210825.develop.aeee47647b-1_amd64.deb
Size: 835900
MD5sum: 48ebd2971b5c28c32c2ebe1d34adba30
SHA1: 0a2e16bcc886ac0d6a963340054482de14c9de7c
SHA256: 0ef429bc1f5582a913bb19f5c77aa3718369c77381290fcae8d8c527eaf5f67a
SHA512: c013139af71fa726de72cf238baad3c30fdb6865494f9b1ff7c9157a788b68f922e73c3860c83496d5e5357707a3fb3b71628d7deaeb55a455b88b13dc478ca1
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 IMP MPI module and dependents, for openmpi.

Package: imp-python2
Architecture: amd64
Version: 20210825.develop.aeee47647b-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 67469
Depends: imp (= 20210825.develop.aeee47647b-1), python-numpy, python-protobuf
Filename: xenial/imp-python2_20210825.develop.aeee47647b-1_amd64.deb
Size: 9447804
MD5sum: 70d66bd48ad61bead5497ae6b2226e7a
SHA1: e9f2c58ecfad91a0703937c4a5a1f6b87eae186c
SHA256: 9e69d6fc1132f5cccfe7471933156ba13d631c12729bebc789c55223c91761bc
SHA512: 6a8479b9fa4304778c225ee040e620264d8ef89539987d4eef99b21f91f42305a6f6951bb36a69be1c8946b0bb99e8df6dbd7eabcc15d03efe5d25ecb687607d
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 Wrappers for Python 2 (the base IMP package contains Python 3 wrappers).

Package: imp-dev
Architecture: amd64
Version: 20210825.develop.aeee47647b-1
Priority: optional
Section: libdevel
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 6820
Depends: imp (= 20210825.develop.aeee47647b-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, libcgal-qt5-dev, libhdf5-dev, libfftw3-dev, libopencv-dev, libgsl0-dev, python3-dev, libann-dev, libeigen3-dev, libprotobuf-dev
Filename: xenial/imp-dev_20210825.develop.aeee47647b-1_amd64.deb
Size: 919512
MD5sum: aefc65b4e521ca073ba4a029ec215fae
SHA1: 632aa2b33913bc62fe8c19eefc25e2452cefba9f
SHA256: 3d15e3c2b4c338135271aeda6bdee5573d5c07b55c9f27ef8707c1d97901b9f0
SHA512: 3bbbcf79a11635a0ee8624bcdcaebe02efbcd132699bc82374337cee38c61386c32d390d42ef8304d4deb85f7642cb088ae0c376fb454a46b4fc606edf266b86
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 Headers to compile against IMP.

Package: imp
Architecture: amd64
Version: 20210825.develop.aeee47647b-1
Priority: optional
Section: libs
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 416688
Depends: libboost-filesystem1.58.0, libboost-graph1.58.0, libboost-iostreams1.58.0, libboost-program-options1.58.0, libboost-random1.58.0, libboost-system1.58.0, libboost-thread1.58.0, libc6 (>= 2.14), libcgal11v5, libfftw3-double3, libgcc1 (>= 1:3.4), libgmp10, libgomp1 (>= 4.9), libgsl2, libhdf5-10, libmpfr4 (>= 3.1.3), libopencv-core2.4v5, libopencv-highgui2.4v5, libopencv-imgproc2.4v5, libprotobuf9v5, libstdc++6 (>= 5.2), python3-numpy
Breaks: imp-python3 (<< 2.13.0)
Replaces: imp-python3 (<< 2.13.0)
Filename: xenial/imp_20210825.develop.aeee47647b-1_amd64.deb
Size: 47439066
MD5sum: 1a6f234ca93eea286686ec217756d928
SHA1: c56f8b89f3ce7e914fb56614ad33d90224c98ec7
SHA256: fe7298111d4e0808d80becd653e5c6301cd6dd5d6831e2538dae06992588c817
SHA512: 087dee8d405d3be8ef9552105ea933f7e7dbee8af956c7384e680ca1dc4c2be002c0aac562d2bf73f482184aef073d52036de666f1153e89aa6651dd6b75246d
Homepage: https://integrativemodeling.org/
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.