Package: imp-dev
Architecture: amd64
Version: 2.21.0-1
Priority: optional
Section: libdevel
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 7034
Depends: imp (= 2.21.0-1), 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, libcereal-dev, libprotobuf-dev
Filename: focal/imp-dev_2.21.0-1_amd64.deb
Size: 931736
MD5sum: 6ef2489d9eb05e09828e87df16b4d7a4
SHA1: deba6c3cdfc2d73e4cbcdf44d554ea548dfd57e2
SHA256: 51b2f5587ccfbd0755eb474ba57d6647f043266b04c3ef7faf2c46575aaf936e
SHA512: 7a36fb62ae949f3e054b7af59849f3da5e45b65db04ebc58a261d67a88e41c1e1b54eceef5c0be2c8d78327652a12d3a1a38f4c017ee27743c2509b1d118a71d
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 Headers to compile against IMP.

Package: imp-openmpi
Architecture: amd64
Version: 2.21.0-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 12312
Depends: imp (= 2.21.0-1), 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), python3-mpi4py
Filename: focal/imp-openmpi_2.21.0-1_amd64.deb
Size: 1450400
MD5sum: 9dd314da05c259b31fd701478f585878
SHA1: 5a02e9630303bf30935f06a4f2976f7051bfecff
SHA256: 88ad86d01c67a56907e0380dae824aa19c417cc7cab7da0fea1637650b5c0bea
SHA512: 00a34f68a19b06c0549f1e86a6be07728cd10374a35b25ef3fbad62ac30ada1a8c7cdc6e6be1afc6579f96d171412131ff9ce9debe1035aa0e479fe37d368b14
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 IMP MPI module and dependents, for openmpi.

Package: imp-python2
Architecture: amd64
Version: 2.21.0-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 120640
Depends: imp (= 2.21.0-1), python-numpy, python-protobuf
Filename: focal/imp-python2_2.21.0-1_amd64.deb
Size: 15247556
MD5sum: 0400427bca98a7da05951fc290451f04
SHA1: ce94389a8946a1ceac8cce0e154cc51aeaadc9ab
SHA256: 792f672f387fbf268b203d2354a147170c39748476b849682f66bafb4804ef5c
SHA512: 0b6eb91ed7fc707ee2407f2a6b931c64ff6b5ef940607bbc97d79dd73974c9b4578c416fbfe42b27a081e2d277232edce147ccfbd8898badd2b8df26a109af9e
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: 2.21.0-1
Priority: optional
Section: libs
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 804213
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, python3-yaml
Breaks: imp-python3 (<< 2.13.0)
Replaces: imp-python3 (<< 2.13.0)
Filename: focal/imp_2.21.0-1_amd64.deb
Size: 62011836
MD5sum: b3bcadd81b32f4513702ae5fbc0e6d93
SHA1: b8ed46dfedc67a01ca9884a033e4eafb90f0cedc
SHA256: 2d2581469fdef109f3c1248a0363418350546f7713fe2341f56b5a462fdb6f3c
SHA512: 9cda333f1b88a19e3d74d92cde43620bcbf7ac6ebf8b9e13c257749b76808af7c57f0fbd676adf4028e170f67ce3bfb87250cbc8da9ca21c295308496c5378c7
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.