How to Install and Uninstall python3-denss Package on Kali Linux

Last updated: May 06,2024

1. Install "python3-denss" package

Please follow the instructions below to install python3-denss on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-denss
            
                    
    
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2. Uninstall "python3-denss" package

Learn how to uninstall python3-denss on Kali Linux:


    
        
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                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 Kali Linux

Package: python3-denss
Source: denss
Version: 0.0.1+20200710gac8923a-2
Installed-Size: 288
Maintainer: Debian Science Maintainers
Architecture: all
Depends: python3-numpy, python3-scipy, python3:any
Size: 55808
SHA256: 32737345883c5ba20f4c38f7ec678d6adc7db999df334df21101582c84412c33
SHA1: 1b01ab448163b8806e0804990251c56cac16cfad
MD5sum: f6923b86d73d2863c7994c2bb0e9d6e4
Description: 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.
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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:
Homepage: https://github.com/tdgrant1/denss
Section: python
Priority: optional
Filename: pool/main/d/denss/python3-denss_0.0.1+20200710gac8923a-2_all.deb