How to Install and Uninstall prottest Package on Kali Linux

Last updated: December 23,2024

1. Install "prottest" package

Please follow the instructions below to install prottest on Kali Linux


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

Please follow the steps below to uninstall prottest on Kali Linux:


    
        
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                sudo apt remove
            
                        
                prottest
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the prottest package on Kali Linux

Package: prottest
Version: 3.4.2+dfsg-8
Installed-Size: 497
Maintainer: Debian Med Packaging Team
Architecture: all
Depends: alter-sequence-alignment, libbetter-appframework-java, libmpj-java, libpal-java, java-wrappers, phyml
Size: 349408
SHA256: dfa70adb2a2779431f5836cb3e1278c422667494f5481b03691e8b3bb22a1375
SHA1: aa41f3965c88bc9bf7d099eb3fe1daa10ed3313d
MD5sum: a06031a7ae99584bd928a58420b40835
Description: selection of best-fit models of protein evolution
PROTTEST (ModelTest's relative) is a program for selecting the model of
protein evolution that best fits a given set of sequences (alignment).
This java program is based on the Phyml program (for maximum likelihood
calculations and optimization of parameters) and uses the PAL library as
well. Models included are empirical substitution matrices (such as WAG,
LG, mtREV, Dayhoff, DCMut, JTT, VT, Blosum62, CpREV, RtREV, MtMam,
MtArt, HIVb, and HIVw) that indicate relative rates of amino acid
replacement, and specific improvements (+I:invariable sites, +G: rate
heterogeneity among sites, +F: observed amino acid frequencies) to
account for the evolutionary constraints impossed by conservation of
protein structure and function. ProtTest uses the Akaike Information
Criterion (AIC) and other statistics (AICc and BIC) to find which of the
candidate models best fits the data at hand.
Description-md5:
Homepage: https://github.com/ddarriba/prottest3
Section: science
Priority: optional
Filename: pool/main/p/prottest/prottest_3.4.2+dfsg-8_all.deb