Package: imp-dev
Architecture: amd64
Version: 2.7.0-1
Priority: optional
Section: libdevel
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 8578
Depends: imp (= 2.7.0-1), 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, libcgal-qt5-dev, libhdf5-dev, libfftw3-dev, libopencv-dev, libgsl0-dev, python-dev, libann-dev
Filename: xenial/imp-dev_2.7.0-1_amd64.deb
Size: 1141272
MD5sum: e97ba593e2cfc358bd539fdbd5ed273d
SHA1: 1296350593331e48cb6a16e6bfcbe1223a1d48ec
SHA256: cdca81eb6bf03e4366ab74c44ff057a8b91988c080928e133a933b376da1bcde
SHA512: 7aef9fa94f1c14e0103409b348824f300748acfee56bf6d2127d93c93f9b708aa650c063a5e6b96ee7cf0718f8b1d8e57ef1f8438120018a54cbd2c6e7609f38
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 Headers to compile against IMP.

Package: imp-python3
Architecture: amd64
Version: 2.7.0-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 58887
Depends: imp (= 2.7.0-1), python3, python3-numpy
Filename: xenial/imp-python3_2.7.0-1_amd64.deb
Size: 8081942
MD5sum: cda3aea1483907c12876f3bcfd6a383b
SHA1: 2b2a4cfeb7e50d2793c1699ffc478fc0c61a9264
SHA256: c205fb7842c794e1484c28ff7a189e2a35de541cc40d514c72b0d9620da98707
SHA512: 3b5f3f7b5326029bf1f00870aca68dcbef9d60693b8d5fc57cd58649b77e5e5f284bf828156dba98b80ed148cf1ecb399fa5bda11ed9493a403d071ecc0e8c58
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 Wrappers for Python 3 (the base IMP package contains Python 2 wrappers).

Package: imp
Architecture: amd64
Version: 2.7.0-1
Priority: optional
Section: libs
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 332709
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 (>= 1:4.0), libgmp10, libgomp1 (>= 4.9), libgsl2, libhdf5-10, libmpfr4 (>= 3.1.3), libopencv-core2.4v5, libopencv-highgui2.4v5, libopencv-imgproc2.4v5, libstdc++6 (>= 5.2), python-numpy
Filename: xenial/imp_2.7.0-1_amd64.deb
Size: 39608854
MD5sum: b7a7fa1c594ede39fb96ffe0a044ba9c
SHA1: 56b22a9e986ba78d7167f4e72977af9eaf83d7c3
SHA256: 78d0b8e781d623aaf50baf444b3269509af51213a37304aa1208f08fd24ca447
SHA512: e61516ba9e324f31c129a0409ecb44f49c5a2019edb80ec3264bfdf22bbb017583d765ef0813632acbfabfdf6811c8d8f3b0c8a237d72aee0aa152a3506a3351
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.