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

Last updated: February 24,2025

1. Install "python3-shasta" package

Please follow the step by step instructions below to install python3-shasta on Kali Linux


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

In this section, we are going to explain the necessary steps to uninstall python3-shasta on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python3-shasta
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-shasta package on Kali Linux

Package: python3-shasta
Source: shasta
Version: 0.11.1-4
Installed-Size: 7784
Maintainer: Debian Med Packaging Team
Architecture: amd64
Depends: python3 (<< 3.12), python3 (>= 3.11~), libblas3 | libblas.so.3, libboost-program-options1.83.0 (>= 1.83.0), libc6 (>= 2.34), libgcc-s1 (>= 3.4), liblapack3 | liblapack.so.3, libpng16-16 (>= 1.6.2), libpython3.11 (>= 3.11.5), libspoa7.0.0 (>= 4.0.5), libstdc++6 (>= 13.1), ncbi-blast+
Size: 2109196
SHA256: 2e0bf05be381cf916ee32c92a0fa5246a0706d887a21a999c5153c304d0c3131
SHA1: 4086f36503a1236ca3f0f07d2ecbbde4ac135b9f
MD5sum: 1c63ea384c62580dcdaca10bb90e9abd
Description: nanopore whole genome assembly (dynamic library)
De novo assembly from Oxford Nanopore reads. The goal of the Shasta long
read assembler is to rapidly produce accurate assembled sequence using
as input DNA reads generated by Oxford Nanopore flow cells.
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Computational methods used by the Shasta assembler include:
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* Using a run-length representation of the read sequence. This makes
the assembly process more resilient to errors in homopolymer
repeat counts, which are the most common type of errors in Oxford
Nanopore reads.
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* Using in some phases of the computation a representation of the read
sequence based on markers, a fixed subset of short k-mers (k ≈ 10).
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Shasta assembly quality is comparable or better than assembly quality
achieved by other long read assemblers.
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This package contains the dynamic library that can be interfaced and
imported within Python.
Description-md5:
Homepage: https://github.com/chanzuckerberg/shasta
Section: python
Priority: optional
Filename: pool/main/s/shasta/python3-shasta_0.11.1-4_amd64.deb