Package: imp-dev
Architecture: amd64
Version: 2.18.0-1
Priority: optional
Section: libdevel
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 6906
Depends: imp (= 2.18.0-1), 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_2.18.0-1_amd64.deb
Size: 918288
MD5sum: 8c826e0cc5bba6c36ceca607148c7f47
SHA1: de685e12090610e075f0ab0af63c5d3d073d8a3b
SHA256: 65e7c2ffb1aba55f6a782d177ee118d0f9c53241545adffb6b4b88d836a2a152
SHA512: b0ab4368abd2c2dd277efefbc814abeea17f86c17c8692690d4fcb11881a2ce6aec0078d965362e5cbd56ce09b55ede9a05347cc7e3c647ec68b0f5daa0234d5
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 Headers to compile against IMP.

Package: imp-openmpi
Architecture: amd64
Version: 2.18.0-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 5362
Depends: imp (= 2.18.0-1), 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_2.18.0-1_amd64.deb
Size: 889600
MD5sum: c83d5e77b6f37124ddbb7566a180a3c2
SHA1: 74f22d54c0ce3c087d3268fde57135594fa3378b
SHA256: 5d44cd0edd342bd3d5911d08997caa0c5d962dcff05d047b03d6769b54b33c5b
SHA512: 44d827f48d055d072b226cc2475a73f5105cbd2deda2ee62d77f29ca73d68c13fd6901f917c384a770d0144dff4a854b025760b392352372738f9894e254294c
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 IMP MPI module and dependents, for openmpi.

Package: imp-python2
Architecture: amd64
Version: 2.18.0-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 90210
Depends: imp (= 2.18.0-1), python-numpy, python-protobuf
Filename: focal/imp-python2_2.18.0-1_amd64.deb
Size: 12555268
MD5sum: b4ba0dd78a0210b2a47852fe789a17f7
SHA1: dc268356e4ae425096fecd52083d07db57190650
SHA256: 9b499c5de8b7b2352151ae9d334f16705776bc15802a2d9dfe707f23930e4788
SHA512: 1cccb918e63713b34d5281d2bae5616ff85d6ce43085d9a92b21649c7c3618831084084eb304010fec083401b8ba260f3c769dcba1a41007da026ab6860f919e
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: 2.18.0-1
Priority: optional
Section: libs
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 434339
Depends: libboost-filesystem1.71.0, libboost-graph1.71.0, libboost-iostreams1.71.0, libboost-program-options1.71.0, libboost-random1.71.0, libboost-serialization1.71.0, 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_2.18.0-1_amd64.deb
Size: 50405744
MD5sum: 1ff7d7b020a45843e0a9d35a5bfc4617
SHA1: 115cdbf1ff5a222ebb0fb7d32d25211cb93f4b0d
SHA256: c757943738eb9ba794b4ac70463e34dd0672440db16d49e101bb1cf43776ab4c
SHA512: 93deecf7ec358b7adb506ff9dedf9f0cfd9ce6cd09648cfd5225c058a085379ff9dc7982c43841fc93c9a9c0cc4ad366fac08e63b0c0dd372ce2b6522337eddf
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.