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

Last updated: November 07,2024

1. Install "iitii" package

In this section, we are going to explain the necessary steps to install iitii on Ubuntu 21.10 (Impish Indri)


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

This guide covers the steps necessary to uninstall iitii on Ubuntu 21.10 (Impish Indri):


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

Package: iitii
Architecture: amd64
Version: 0.0+git20191030.85209e0-2
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: 383
Depends: libatomic1 (>= 4.8), libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgomp1 (>= 4.9), libstdc++6 (>= 9)
Filename: pool/universe/i/iitii/iitii_0.0+git20191030.85209e0-2_amd64.deb
Size: 113916
MD5sum: d022e8f233377697c34c5bd2983a344c
SHA1: 93fa0e091529e595c4ecdc157c656c77d1c877a5
SHA256: a1e4d3b41973639816a5396cd398a5f98f24edd574304396c3f6bf4abf8b5854
SHA512: 0f286062b17f5ee31df392c8e298adb828531210d8cfc36e11625394c97eb473f1260d7a2d048f98ef606dc7a3a90bbe7d6b9619488279450eb1699594c04689
Homepage: https://github.com/ekg/iitii
Description-en: Implicit Interval Tree with Interpolation Index
Iitii is a data structure for indexing begin/end position intervals,
such as genomic feature annotations, and answering requests for all
items overlapping a query interval. Building on cgranges by Heng Li,
iitii explores ideas from DBMS interpolation search and learned index
structures to speed up queries on large datasets.
Description-md5: f8f21c228a680792196979ade50ba626