How to Install and Uninstall python3-pychopper Package on Kali Linux

Last updated: November 07,2024

Deprecated! Installation of this package may no longer be supported.

1. Install "python3-pychopper" package

In this section, we are going to explain the necessary steps to install python3-pychopper on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                python3-pychopper
            
                    
    
    Copied

2. Uninstall "python3-pychopper" package

Here is a brief guide to show you how to uninstall python3-pychopper on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python3-pychopper
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python3-pychopper package on Kali Linux

Package: python3-pychopper
Source: pychopper
Version: 2.7.9-1
Installed-Size: 406
Maintainer: Debian Med Packaging Team
Architecture: all
Depends: python3-biopython, python3-matplotlib, python3-numpy, python3-pandas, python3-parasail, python3-pysam, python3-pytest, python3-six, python3-tqdm, python3:any
Size: 136580
SHA256: a919f8a0391b40541f638df3a58fa43b4ff60cabb42745b6c0010655578d7257
SHA1: 608fe134a2b137acd366b351d363187aaed1c8cd
MD5sum: 7c41500ca44a8fee3807e90c5386f485
Description: identify, orient and trim full-length Nanopore cDNA reads
Pychopper v2 is a Python module to identify, orient and trim full-length
Nanopore cDNA reads. It is also able to rescue fused reads and provides
the script 'pychopper.py'. The general approach of Pychopper v2
is the following:
.
* Pychopper first identifies alignment hits of the primers across the
length of the sequence. The default method for doing this is using
nhmmscan with the pre-trained strand specific profile HMMs, included
with the package. Alternatively, one can use the edlib backend,
which uses a combination of global and local alignment to identify
the primers within the read.
* After identifying the primer hits by either of the backends, the
reads are divided into segments defined by two consecutive primer
hits. The score of a segment is its length if the configuration of
the flanking primer hits is valid (such as SPP,-VNP for forward reads)
or zero otherwise.
* The segments are assigned to rescued reads using a dynamic programming
algorithm maximizing the sum of used segment scores (hence the amount
of rescued bases). A crucial observation about the algorithm is that
if a segment is included as a rescued read, then the next segment
must be excluded as one of the primer hits defining it was "used
up" by the previous segment. This put constraints on the dynamic
programming graph. The arrows in read define the optimal path for
rescuing two fused reads with the a total score of l1 + l3.
.
A crucial parameter of Pychopper v2 is -q, which determines the
stringency of primer alignment (E-value in the case of the pHMM
backend). This can be explicitly specified by the user, however by
default it is optimized on a random sample of input reads to produce
the maximum number of classified reads.
Description-md5:
Homepage: https://github.com/epi2me-labs/pychopper
Section: python
Priority: optional
Filename: pool/main/p/pychopper/python3-pychopper_2.7.9-1_all.deb