How to Install and Uninstall python3-denss Package on Ubuntu 21.10 (Impish Indri)
Last updated: February 24,2025
1. Install "python3-denss" package
This is a short guide on how to install python3-denss on Ubuntu 21.10 (Impish Indri)
$
sudo apt update
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$
sudo apt install
python3-denss
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2. Uninstall "python3-denss" package
This guide covers the steps necessary to uninstall python3-denss on Ubuntu 21.10 (Impish Indri):
$
sudo apt remove
python3-denss
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-denss package on Ubuntu 21.10 (Impish Indri)
Package: python3-denss
Architecture: all
Version: 0.0.1+20200710gac8923a-2
Priority: optional
Section: universe/python
Source: denss
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 288
Depends: python3-numpy, python3-scipy, python3:any
Filename: pool/universe/d/denss/python3-denss_0.0.1+20200710gac8923a-2_all.deb
Size: 55848
MD5sum: 806d01638aa1001dc6b6b6f4441bdaff
SHA1: 010c9f5e6cfed7cfd49f339a8e4feffead5324ef
SHA256: 26c6c49c2f131adbc5cee9b19954fe678d203f66107f46dcf2cb8bc89fbc9574
SHA512: 36ddf338fa55e227e0aba285d94644b3211798906ffb96f56b9e9bd8d6fc95692df1f90449a9b1141746ebebeda273865b891e878a46e26148e8b85c6f1a824f
Homepage: https://github.com/tdgrant1/denss
Description-en: calculate electron density from a solution scattering profile
DENSS is an algorithm used for calculating ab initio electron density
maps directly from solution scattering data. DENSS implements a novel
iterative structure factor retrieval algorithm to cycle between real
space density and reciprocal space structure factors, applying
appropriate restraints in each domain to obtain a set of structure
factors whose intensities are consistent with experimental data and
whose electron density is consistent with expected real space
properties of particles.
.
DENSS utilizes the NumPy Fast Fourier Transform for moving between
real and reciprocal space domains. Each domain is represented by a
grid of points (Cartesian), N x N x N. N is determined by the size of
the system and the desired resolution. The real space size of the box
is determined by the maximum dimension of the particle, D, and the
desired sampling ratio. Larger sampling ratio results in a larger
real space box and therefore a higher sampling in reciprocal space
(i.e. distance between data points in q). Smaller voxel size in real
space corresponds to higher spatial resolution and therefore to
larger q values in reciprocal space.
Description-md5: e47304cfcd41e0ed9a10ac4e3aaafb69
Architecture: all
Version: 0.0.1+20200710gac8923a-2
Priority: optional
Section: universe/python
Source: denss
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 288
Depends: python3-numpy, python3-scipy, python3:any
Filename: pool/universe/d/denss/python3-denss_0.0.1+20200710gac8923a-2_all.deb
Size: 55848
MD5sum: 806d01638aa1001dc6b6b6f4441bdaff
SHA1: 010c9f5e6cfed7cfd49f339a8e4feffead5324ef
SHA256: 26c6c49c2f131adbc5cee9b19954fe678d203f66107f46dcf2cb8bc89fbc9574
SHA512: 36ddf338fa55e227e0aba285d94644b3211798906ffb96f56b9e9bd8d6fc95692df1f90449a9b1141746ebebeda273865b891e878a46e26148e8b85c6f1a824f
Homepage: https://github.com/tdgrant1/denss
Description-en: calculate electron density from a solution scattering profile
DENSS is an algorithm used for calculating ab initio electron density
maps directly from solution scattering data. DENSS implements a novel
iterative structure factor retrieval algorithm to cycle between real
space density and reciprocal space structure factors, applying
appropriate restraints in each domain to obtain a set of structure
factors whose intensities are consistent with experimental data and
whose electron density is consistent with expected real space
properties of particles.
.
DENSS utilizes the NumPy Fast Fourier Transform for moving between
real and reciprocal space domains. Each domain is represented by a
grid of points (Cartesian), N x N x N. N is determined by the size of
the system and the desired resolution. The real space size of the box
is determined by the maximum dimension of the particle, D, and the
desired sampling ratio. Larger sampling ratio results in a larger
real space box and therefore a higher sampling in reciprocal space
(i.e. distance between data points in q). Smaller voxel size in real
space corresponds to higher spatial resolution and therefore to
larger q values in reciprocal space.
Description-md5: e47304cfcd41e0ed9a10ac4e3aaafb69