Package: imp-dev
Architecture: amd64
Version: 2.20.1-1
Priority: optional
Section: libdevel
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 7027
Depends: imp (= 2.20.1-1), 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_2.20.1-1_amd64.deb
Size: 950648
MD5sum: 8bea5960f849f84aeab0a00453909424
SHA1: 118c171a94b40c64f111c5741af3f3bcc49ed3b2
SHA256: 91adadd57f837f142338fed944b614a8f01e88b9036c2a9535491cebefdad799
SHA512: d7b79693f330bc382cb14684569ef2ca77a9c1c1f14dce17b9c849cd7ec678f3bdd08804aceaab0ca5f9fb15c7ae18e6b91d8b860defabf6cf9ea51a07fc18cd
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
Headers to compile against IMP.
Package: imp-dev
Architecture: arm64
Version: 2.20.1-1
Priority: optional
Section: libdevel
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 7024
Depends: imp (= 2.20.1-1), 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_2.20.1-1_arm64.deb
Size: 950644
MD5sum: ae6a89d34a38e0e156320d4692552079
SHA1: 45b3c9e93941e5e49f35662697ae4e103f36e052
SHA256: 60fb3334d0000dafdbb2d570eaa8d4722a18827baac9b326d3c97c045e6a46ed
SHA512: 6a6e5247ef423df1bb75202c4250066e9376ca70fca4f5414049f4695f5964d4a383a30e0bda9a6793b87c2b1a6798e83dff53f05bd70f25a191d68a083e0fc0
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
Headers to compile against IMP.
Package: imp-openmpi
Architecture: amd64
Version: 2.20.1-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 12422
Depends: imp (= 2.20.1-1), 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_2.20.1-1_amd64.deb
Size: 1674416
MD5sum: 00c61c9db344475ffa5b63040fffa07c
SHA1: 61f74e5307d984080be7b79eec6aa34efac17c65
SHA256: f74f75bc3b2be2b1f67c7a3825a827d0d6e5542c4ee0a31fa7e64a6ca13e16a1
SHA512: bf1b6d160dde88456fc125e4595f96b8c39982ae6aa51fddc98a14b4c602a0a21fd05feaf91e47375c7d0680807b14557581a32ebed0ea4a0569a509c1d52410
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
IMP MPI module and dependents, for openmpi.
Package: imp-openmpi
Architecture: arm64
Version: 2.20.1-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 11498
Depends: imp (= 2.20.1-1), 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_2.20.1-1_arm64.deb
Size: 1568228
MD5sum: db49d342bf88adbb41c619b4c8b3feed
SHA1: e77af01cafd40c72a3bc0f56840c3931dfb71697
SHA256: 1dd80908c9b931c3e44dd8eafaca9fe493639913b615042c60c0b268c2b5d330
SHA512: 92464b969af82d2d97c1fce438879dddf45199a43830780e09f9b76e9b8857e59369b2455572e295b47f5b88fe82b6d47e4d0c010088db3ba3ed60d2cb9cc383
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
IMP MPI module and dependents, for openmpi.
Package: imp-python2
Architecture: amd64
Version: 2.20.1-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 115641
Depends: imp (= 2.20.1-1)
Filename: jammy/imp-python2_2.20.1-1_amd64.deb
Size: 16500728
MD5sum: 78c66028470629abaea484f9261b3962
SHA1: 5f71e54c3548592f03e2b38171e0ee5b206a863e
SHA256: 5305eabebcd6a455f2475b317aa737e6f8fdd49d6934ae7b25a2455882db41a9
SHA512: 60909834c8d14836d6b2113ff5f5b67b7bf36f9ac81500f4aa8dc56078c3823b93fd85c7313cd88f469f44ec59637b90a8b0ad9c8a32a6b39ede2eeccbfc663f
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: 2.20.1-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 108273
Depends: imp (= 2.20.1-1)
Filename: jammy/imp-python2_2.20.1-1_arm64.deb
Size: 15219098
MD5sum: 43b42464d71fa841f32ae454b89554e9
SHA1: 453d1705dfbfc73cb56db323cf0df3647b764224
SHA256: 2887552b3edf053e63ca070a42a2ac6b8252ca2d467c1139248567bebb120d22
SHA512: 34579ffbdc50f6ae6e0fcb1c37b046b15d451099484453d1262e2a3a85e09fe2a1380d1cd4904216b2c3467d8f4bae2171e9463ca2317920dbd11f542a17d30e
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: 2.20.1-1
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_2.20.1-1_amd64.deb
Size: 57381088
MD5sum: 260d3e857f3e2232228b651fb7edba6f
SHA1: a3bb25bd80bca660702b7e389cbdc92d9caf21aa
SHA256: c1945d603305778ca59357b4adbd0661af16112e377ea825e5a1d196fd6101d1
SHA512: b7d66a965f511f7918b4c4654be57161a577d9cc4fb93ed766dd803b8ccff8b139141fbb2ac14a74fe5503bd3ce4bb75d3b14df6ced398d55bd3af4866ef0506
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: 2.20.1-1
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_2.20.1-1_arm64.deb
Size: 55479072
MD5sum: 1d67e6d8a11767140525a4c1ca17f7fd
SHA1: 77962e389ba99401df4e2bde07eff60068927e43
SHA256: 4649d32343e741cb774db444270a8048f87174c1235c10ae6b4ef7d856864888
SHA512: 7bfba0a6ea09e2230ca195e37d7c022a1f92e731bb1550f9952189abe4e159e0e5ca2f7556ffdb28cf1984b84c42498c8efc82febc2cc2589da312300ee033e5
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.