Package: imp-dev
Architecture: amd64
Version: 2.20.2-1
Priority: optional
Section: libdevel
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 7028
Depends: imp (= 2.20.2-1), 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, libgsl-dev, python3-dev, libann-dev, libeigen3-dev, libcereal-dev, libprotobuf-dev
Filename: jammy/imp-dev_2.20.2-1_amd64.deb
Size: 950714
MD5sum: 0b370d5f50f1d74bdb5b332c852dbf16
SHA1: 68b3664b272e496fc8f75105897a827d4bd9b859
SHA256: 0ae3088a62f83129a8d74f6f3c6a1b4593b3a1f69cd0154775675c67fe230157
SHA512: 20861e7fed1b022c3923683760294167dcc63c5b1dd9b63e0ff163f8865cef5de93a24220daaf94a7292532907f3d35d9eb47f47783c865dc15a186883725893
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
Headers to compile against IMP.
Package: imp-dev
Architecture: arm64
Version: 2.20.2-1
Priority: optional
Section: libdevel
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 7025
Depends: imp (= 2.20.2-1), 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, libgsl-dev, python3-dev, libann-dev, libeigen3-dev, libcereal-dev, libprotobuf-dev
Filename: jammy/imp-dev_2.20.2-1_arm64.deb
Size: 950744
MD5sum: c3cdc73dd276279939d212b31c78411f
SHA1: 1abfb46cb4160d1df16fe4a99fe65a510e2fd203
SHA256: 49074680ec80eb4fb209afa5d67f4d88f964624b4c9ead80ce12fb70fee3d535
SHA512: a6490ea9b975d32d4a97f7ade5ecc00e1df53cc66b65f67cfbfecf62f2afa930abf7a1172dc6ad4ae6f64616418ba0aa8c2271982740c3ef48e238fc3679b6d9
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
Headers to compile against IMP.
Package: imp-openmpi
Architecture: amd64
Version: 2.20.2-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 12422
Depends: imp (= 2.20.2-1), libboost-filesystem1.74.0 (>= 1.74.0), libboost-program-options1.74.0 (>= 1.74.0), libc6 (>= 2.34), libgcc-s1 (>= 3.0), libgomp1 (>= 4.2.1), libopencv-core4.5d (>= 4.5.4+dfsg), libopencv-imgcodecs4.5d (>= 4.5.4+dfsg), libopenmpi3 (>= 4.1.2), libstdc++6 (>= 11)
Filename: jammy/imp-openmpi_2.20.2-1_amd64.deb
Size: 1673466
MD5sum: bb3e6742f3d5c37a4097bd36fcb10a0e
SHA1: 73faf3a304067b691ccd7fa1a72ce69d5d97dec6
SHA256: 2ecb3def5da90d7ba828eb6b4a92fd7447ee1c89743faa32fb6a77aa9e2acf41
SHA512: 9495af22b2747f905b6a12c568dfe68a8a2dfdc8e82a18c5b37b461e8c118de95a8f41a9b95ff68d11f0787899cdd78ff6cf3c329a65cb4c7d21f0168685ef23
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
IMP MPI module and dependents, for openmpi.
Package: imp-openmpi
Architecture: arm64
Version: 2.20.2-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 11498
Depends: imp (= 2.20.2-1), libboost-filesystem1.74.0 (>= 1.74.0), libboost-program-options1.74.0 (>= 1.74.0), libc6 (>= 2.34), libgcc-s1 (>= 4.5), libgomp1 (>= 4.2.1), libopencv-core4.5d (>= 4.5.4+dfsg), libopencv-imgcodecs4.5d (>= 4.5.4+dfsg), libopenmpi3 (>= 4.1.2), libstdc++6 (>= 11)
Filename: jammy/imp-openmpi_2.20.2-1_arm64.deb
Size: 1568830
MD5sum: 07a469c24baf8a202978e67c48da469c
SHA1: a779ed628808bf6f4562427d1ca3acbc5c7d8a65
SHA256: 7b6f56bd895bdcb01eaa494fdf11c3258b55d14d22907b2d77a837c03e26a013
SHA512: 4e54b31849564c23887d610c4f0c2e00d41fe3f95ea7a52fbac5caf86ccc0784aea4df0f8947ec044d46997b953e0d75e9f4fb50d764bc0935ed49d650841456
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
IMP MPI module and dependents, for openmpi.
Package: imp-python2
Architecture: amd64
Version: 2.20.2-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 115641
Depends: imp (= 2.20.2-1)
Filename: jammy/imp-python2_2.20.2-1_amd64.deb
Size: 16497316
MD5sum: 834c17f64c48b96774fbc36242fe32c9
SHA1: cb13a3fc0a2565a3690310d5c81bb587fe999741
SHA256: 859c2cdc6346ffe1570eccbc5864790fcf936f8eaff4d9c3c358ed4fc6f9cd33
SHA512: d52c185c6a60b1d6cbf4538246249249e92aae19fd32b8288ff5683868be52005660d9ba8952d6c4379f801e57adcdf353d200dba89b7c99afa7a69c73436062
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
Wrappers for Python 2 (the base IMP package contains Python 3 wrappers).
Package: imp-python2
Architecture: arm64
Version: 2.20.2-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 108273
Depends: imp (= 2.20.2-1)
Filename: jammy/imp-python2_2.20.2-1_arm64.deb
Size: 15217904
MD5sum: 6cf5e480c7f8ccb7dc31515e82babeb6
SHA1: 6d20a4cbb51b3835198205e2e4ae452eebab4247
SHA256: 3374280d276dc1d72e86c158f1ec3b0b0c0a0400e514e83acf23da83eba4d545
SHA512: 881ff28706f7334e0f1fef40de87ae64295dc9fe352102b0ab4aebeabeefa071775fd0fa75c6249f99e4782adcc15ff5acdf5536bbb630edafd5d2d4b4dece42
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: 2.20.2-1
Priority: optional
Section: libs
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 467453
Depends: libboost-filesystem1.74.0 (>= 1.74.0), libboost-graph1.74.0 (>= 1.74.0), libboost-iostreams1.74.0 (>= 1.74.0), libboost-program-options1.74.0 (>= 1.74.0), libboost-random1.74.0 (>= 1.74.0), libc6 (>= 2.34), libfftw3-double3 (>= 3.3.5), libgcc-s1 (>= 4.0), libgmp10 (>= 2:6.2.1+dfsg), libgomp1 (>= 4.9), libgsl27 (>= 2.7.1), libhdf5-103-1, libmpfr6 (>= 3.1.3), libopencv-core4.5d (>= 4.5.4+dfsg), libopencv-imgcodecs4.5d (>= 4.5.4+dfsg), libopencv-imgproc4.5d (>= 4.5.4+dfsg), libprotobuf23 (>= 3.12.4), libstdc++6 (>= 11), python3-numpy, python3-protobuf
Breaks: imp-python3 (<< 2.13.0)
Replaces: imp-python3 (<< 2.13.0)
Filename: jammy/imp_2.20.2-1_amd64.deb
Size: 57391200
MD5sum: 03b5e371d45ad8ad2516e53be70de53b
SHA1: 440d7144b2248b836cd5d782e5ea3f60a34a13f1
SHA256: ca579837fc278a7af9c73505225d14306ecb9625e87cfa046fe7385f11151d6a
SHA512: d1cfa9c9de0c27739a329394ee2bc4d6eb1a952b8b91ad47b0c8fed1b005b2c340689f9423eff5d5888a2206c71f29b2bc508234a85ecf2f8e89f2503d0e8d0f
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.
Package: imp
Architecture: arm64
Version: 2.20.2-1
Priority: optional
Section: libs
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 455174
Depends: libboost-filesystem1.74.0 (>= 1.74.0), libboost-graph1.74.0 (>= 1.74.0), libboost-iostreams1.74.0 (>= 1.74.0), libboost-program-options1.74.0 (>= 1.74.0), libboost-random1.74.0 (>= 1.74.0), libc6 (>= 2.34), libfftw3-double3 (>= 3.3.5), libgcc-s1 (>= 4.5), libgmp10 (>= 2:6.2.1+dfsg), libgomp1 (>= 4.9), libgsl27 (>= 2.7.1), libhdf5-103-1, libmpfr6 (>= 3.1.3), libopencv-core4.5d (>= 4.5.4+dfsg), libopencv-imgcodecs4.5d (>= 4.5.4+dfsg), libopencv-imgproc4.5d (>= 4.5.4+dfsg), libprotobuf23 (>= 3.12.4), libstdc++6 (>= 11), python3-numpy, python3-protobuf
Breaks: imp-python3 (<< 2.13.0)
Replaces: imp-python3 (<< 2.13.0)
Filename: jammy/imp_2.20.2-1_arm64.deb
Size: 55510252
MD5sum: e1c39343ab3e5c2944d001bcd94471ad
SHA1: 47785babd143135532dfd0bbbcf7f499bfd4c800
SHA256: a441821273ee83bcd89cd7e068245a722e25c9753668d320f9333b6e2d83dcf8
SHA512: f1230d044381a168d3809a0c3a80726b5bc8f35398afafefc576ed449a42f1a65fc8634ccf1bb8a29b154884b5d8e8fccb0116f2550d64c51ad7914fc059af93
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.