How to Install and Uninstall racon Package on Kali Linux

Last updated: September 20,2024

1. Install "racon" package

Learn how to install racon on Kali Linux


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

In this section, we are going to explain the necessary steps to uninstall racon on Kali Linux:


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

Package: racon
Version: 1.5.0-3
Installed-Size: 3167
Maintainer: Debian Med Packaging Team
Architecture: amd64
Depends: libc6 (>= 2.34), libedlib1 (>= 1.2.7-3~), libgcc-s1 (>= 3.0), libspoa7.0.0 (>= 4.0.5), libstdc++6 (>= 12), zlib1g (>= 1:1.1.4)
Recommends: python3, rampler
Size: 3115248
SHA256: eba84b0023a9c8748a5fae490d259993f306b0d2e1b9c2efb89535d5458a9241
SHA1: 17f991c947278609284f2033f57df122b29c0823
MD5sum: 602de8da7f51b1ac954f76963f5399a6
Description: consensus module for raw de novo DNA assembly of long uncorrected reads
Racon is intended as a standalone consensus module to correct raw
contigs generated by rapid assembly methods which do not include a
consensus step. The goal of Racon is to generate genomic consensus which
is of similar or better quality compared to the output generated by
assembly methods which employ both error correction and consensus steps,
while providing a speedup of several times compared to those methods. It
supports data produced by both Pacific Biosciences and Oxford Nanopore
Technologies.
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Racon can be used as a polishing tool after the assembly with either
Illumina data or data produced by third generation of sequencing. The
type of data inputed is automatically detected.
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Racon takes as input only three files: contigs in FASTA/FASTQ format,
reads in FASTA/FASTQ format and overlaps/alignments between the reads
and the contigs in MHAP/PAF/SAM format. Output is a set of polished
contigs in FASTA format printed to stdout. All input files can be
compressed with gzip.
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Racon can also be used as a read error-correction tool. In this
scenario, the MHAP/PAF/SAM file needs to contain pairwise overlaps
between reads including dual overlaps.
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A wrapper script is also available to enable easier usage to the end-
user for large datasets. It has the same interface as racon but adds
two additional features from the outside. Sequences can be subsampled
to decrease the total execution time (accuracy might be lower) while
target sequences can be split into smaller chunks and run sequentially
to decrease memory consumption. Both features can be run at the same
time as well.
Description-md5:
Homepage: https://github.com/lbcb-sci/racon
Section: science
Priority: optional
Filename: pool/main/r/racon/racon_1.5.0-3_amd64.deb