How to Install and Uninstall python3-shasta Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 06,2024

1. Install "python3-shasta" package

This guide let you learn how to install python3-shasta on Ubuntu 21.10 (Impish Indri)


    
        
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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

Here is a brief guide to show you how to uninstall python3-shasta on Ubuntu 21.10 (Impish Indri):


    
        
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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 Ubuntu 21.10 (Impish Indri)

Package: python3-shasta
Architecture: amd64
Version: 0.7.0-3
Priority: optional
Section: universe/python
Source: shasta
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 6799
Depends: python3 (<< 3.10), python3 (>= 3.9~), libboost-program-options1.74.0 (>= 1.74.0), libc6 (>= 2.33), libgcc-s1 (>= 3.4), libpng16-16 (>= 1.6.2-1), libpython3.9 (>= 3.9.1), libspoa7.0.0 (>= 4.0.5+ds), libstdc++6 (>= 9), ncbi-blast+
Filename: pool/universe/s/shasta/python3-shasta_0.7.0-3_amd64.deb
Size: 1506180
MD5sum: 62d4b88960b6f7f018238dda3ca7b50e
SHA1: 2a8cd0b84ff09c20a69ae2751336b290b0a4de15
SHA256: e5fcbf8244e601275561dc8dee02ff0a3343712d38592b426de28de4c901cd9c
SHA512: 749183699f1ac446fd08aa6c8e24fdd3164b4ee708a89c37544a956a008ef219c808ff68327027da7e27a651ac2d12751f45f95efcc70d038df4d316ec998dc8
Homepage: https://github.com/chanzuckerberg/shasta
Description-en: 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.
.
This package contains the dynamic library that can be interfaced and
imported within Python.
Description-md5: 66742cabe829f4e59fa774519150928d