How to Install and Uninstall miniasm Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 20,2024

1. Install "miniasm" package

This tutorial shows how to install miniasm on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                miniasm
            
                    
    
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2. Uninstall "miniasm" package

This is a short guide on how to uninstall miniasm on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                miniasm
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the miniasm package on Ubuntu 21.10 (Impish Indri)

Package: miniasm
Architecture: amd64
Version: 0.3+dfsg-2
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 75
Depends: libc6 (>= 2.14), zlib1g (>= 1:1.1.4)
Recommends: minimap
Filename: pool/universe/m/miniasm/miniasm_0.3+dfsg-2_amd64.deb
Size: 30552
MD5sum: 51b90e3bf213f4a709d60ba828bcf1b8
SHA1: 29ab827136f6e7bfc6dbf8017f26a39b1f7a1545
SHA256: 9e724aecb245c6ca44deed2361f69bb96788e6ebcc9a6b6040d1eabc0a75033b
SHA512: 04d76b4f5f497ed7fb4afceaf777f4478077c36d60bb019a06978cc70b3e48828bdc169b56a066adeabdab759efedb1ac01bafb376e5a4e3a92a2eeea5fedee3
Homepage: https://github.com/lh3/miniasm
Description-en: ultrafast de novo assembler for long noisy DNA sequencing reads
Miniasm is an experimental very fast OLC-based de novo assembler for noisy
long reads. It takes all-vs-all read self-mappings (typically by minimap)
as input and outputs an assembly graph in the GFA format. Different from
mainstream assemblers, miniasm does not have a consensus step. It simply
concatenates pieces of read sequences to generate the final unitig sequences.
Thus the per-base error rate is similar to the raw input reads.
Description-md5: d44d7ac1bcd50721e3666cbc9c312439