Package: imp-dev
Architecture: amd64
Version: 2.16.0-1
Priority: optional
Section: libdevel
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 6875
Depends: imp (= 2.16.0-1), 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, python3-dev, libann-dev, libeigen3-dev, libprotobuf-dev
Filename: focal/imp-dev_2.16.0-1_amd64.deb
Size: 914960
MD5sum: 4a6cbd9e3922978a8e7ddc1a475a8647
SHA1: efdf1ff6ad604cc7b433ede3483ad49b86e98a5e
SHA256: 79e7facd374ac4bfb3e85a6840a6666e84193bf6d9cf6ff33a92bc37e78f7592
SHA512: 958b4e2790b56726deb5063043131582d420854d4a4e13701f0115ccdc98a9c4dbd5c82ab54a01c477198b8744f655c907cd9cce20e3665cc82e426e7c359b0f
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 Headers to compile against IMP.

Package: imp-openmpi
Architecture: amd64
Version: 2.16.0-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 5365
Depends: imp (= 2.16.0-1), libboost-filesystem1.71.0, libboost-program-options1.71.0, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgomp1 (>= 4.2.1), libopencv-core4.2 (>= 4.2.0+dfsg), libopencv-imgcodecs4.2 (>= 4.2.0+dfsg), libopenmpi3 (>= 4.0.3), libstdc++6 (>= 9)
Filename: focal/imp-openmpi_2.16.0-1_amd64.deb
Size: 886824
MD5sum: 806990393271a5b05129d54d1b06abca
SHA1: 25743ae3118ec4dee07a6287cb303ff99edecdbd
SHA256: 44da2a618f065e243eaa8209ef7c257865f6c775c01da52e9fb6b366bb0748b8
SHA512: 884887c3a5545f2ad68598d3cca74d17acf666c36f23612d2f0e6d466dd033b74184abf86e4a77d47e0c38db76df791c4de8facc97f62508760f97591d3b3108
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 IMP MPI module and dependents, for openmpi.

Package: imp-python2
Architecture: amd64
Version: 2.16.0-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 74276
Depends: imp (= 2.16.0-1), python-numpy, python-protobuf
Filename: focal/imp-python2_2.16.0-1_amd64.deb
Size: 10602824
MD5sum: 8c0fd88c8f657321353209dd04cbaa2a
SHA1: c39a5d29c2c2823b77c7cfcefe7da78d1e73998c
SHA256: a8cbc434b35fdd955e0e0f41ddc2048631ee17112d5f8ba4a026fa52db73ec92
SHA512: c7ed00baf7b651ad55957dabfa3c4fb223cb0e6b197aa12384a3e37db46153332146f0413fe2f49a96faa81f5f5a56434485b4f88e7bd1be77cb0905ecc8c6f6
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 Wrappers for Python 2 (the base IMP package contains Python 3 wrappers).

Package: imp
Architecture: amd64
Version: 2.16.0-1
Priority: optional
Section: libs
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 429317
Depends: libboost-filesystem1.71.0, libboost-graph1.71.0, libboost-iostreams1.71.0, libboost-program-options1.71.0, libboost-random1.71.0, libc6 (>= 2.29), libfftw3-double3 (>= 3.3.5), libgcc-s1 (>= 4.0), libgmp10, libgomp1 (>= 4.9), libgsl23 (>= 2.5), libhdf5-103, libmpfr6 (>= 3.1.3), libopencv-core4.2 (>= 4.2.0+dfsg), libopencv-imgcodecs4.2 (>= 4.2.0+dfsg), libopencv-imgproc4.2 (>= 4.2.0+dfsg), libprotobuf17, libstdc++6 (>= 9), python3-numpy, python3-protobuf
Breaks: imp-python3 (<< 2.13.0)
Replaces: imp-python3 (<< 2.13.0)
Filename: focal/imp_2.16.0-1_amd64.deb
Size: 48674196
MD5sum: f31b36a4b0c9c24bf65cf6084e7c74d0
SHA1: f3f15d4813968954d54228205b7caaa7f3c789e5
SHA256: 7582d1374b41563340ddd4c435fad4954e846dfb603fbb6358b7050946cc8daf
SHA512: 8509a6787b024ee28b7ec41e752f75134975e26269a46d85bfdb86fe3fb5c0665a3b3d16c1bf55eeb1f3f22d15080c1b196b6d129efa8643989b380d644778b7
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.