How to Install and Uninstall bitseq Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: November 25,2024

1. Install "bitseq" package

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


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

Please follow the instructions below to uninstall bitseq on Ubuntu 21.04 (Hirsute Hippo):


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

Package: bitseq
Architecture: amd64
Version: 0.7.5+dfsg-5build1
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: 1903
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgomp1 (>= 6), libstdc++6 (>= 5.2), zlib1g (>= 1:1.2.3.3), python3, python3-numpy
Suggests: samtools
Filename: pool/universe/b/bitseq/bitseq_0.7.5+dfsg-5build1_amd64.deb
Size: 349292
MD5sum: dbd1f19429f4e6ff953bbe4e15029274
SHA1: 347f28debd051083f0df2a1b7dd0458c8d26e4cd
SHA256: a9909447754b0151efb56f1b2b22da81184c9c9ed798be514100e969d96cc591
SHA512: e083a081943054a0d3f53e1756b4d4d69fd3d4ed786c14cbc3beeb158912fc0f2d72a90894829abeafae4d393836eb99a98528cf5767ba06828e6ee2250916d2
Homepage: https://github.com/BitSeq/BitSeq
Description-en: Bayesian Inference of Transcripts from Sequencing Data
BitSeq is an application for inferring expression levels of individual
transcripts from sequencing (RNA-Seq) data and estimating differential
expression (DE) between conditions. An advantage of this approach is the
ability to account for both technical uncertainty and intrinsic biological
variance in order to avoid false DE calls. The technical contribution to the
uncertainty comes both from finite read-depth and the possibly ambiguous
mapping of reads to multiple transcripts.
Description-md5: dd6aa18c8b254ecc1902ba90dfe7c413