How to Install and Uninstall fml-asm Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: November 07,2024

1. Install "fml-asm" package

In this section, we are going to explain the necessary steps to install fml-asm on Ubuntu 21.04 (Hirsute Hippo)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                fml-asm
            
                    
    
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2. Uninstall "fml-asm" package

Please follow the step by step instructions below to uninstall fml-asm on Ubuntu 21.04 (Hirsute Hippo):


    
        
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                sudo apt remove
            
                        
                fml-asm
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the fml-asm package on Ubuntu 21.04 (Hirsute Hippo)

Package: fml-asm
Architecture: amd64
Version: 0.1+git20190320.b499514-1
Priority: optional
Section: universe/science
Source: fermi-lite
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 159
Depends: libc6 (>= 2.14), zlib1g (>= 1:1.1.4)
Filename: pool/universe/f/fermi-lite/fml-asm_0.1+git20190320.b499514-1_amd64.deb
Size: 68424
MD5sum: 5c79d07343215a64e9b14a687bdee8bb
SHA1: b3b6310827e635cf7efeaa2cc4ed905e3c525bbb
SHA256: 55b87f6d5a11317de373020f02f7d23ffd534133ecac3ab8d0f6898c50cd6dce
SHA512: 293b0c2229684c3ec93cfcb2e92a2a8008de7334271cd24d06aadcc7b8a9251794fd2d91f5fe698f5f94a8d1a09fe0a5cb7da1bc6fa8d35182e7a3757e7e0dde
Homepage: https://github.com/lh3/fermi-lite
Description-en: tool for assembling Illumina short reads in small regions
Fml-asm is a command-line tool for assembling Illumina short reads in regions
from 100bp to 10 million bp in size, based on the fermi-lite library.
It is largely a light-weight in-memory version of fermikit without
generating any intermediate files. It inherits the performance, the relatively
small memory footprint and the features of fermikit. In particular, fermi-lite
is able to retain heterozygous events and thus can be used to assemble diploid
regions for the purpose of variant calling.
Description-md5: 889752688090c5f0fc58cbefe6c92bce