How to Install and Uninstall r-bioc-hsmmsinglecell Package on Kali Linux

Last updated: May 12,2024

1. Install "r-bioc-hsmmsinglecell" package

In this section, we are going to explain the necessary steps to install r-bioc-hsmmsinglecell on Kali Linux


    
        
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                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                r-bioc-hsmmsinglecell
            
                    
    
    Copied

2. Uninstall "r-bioc-hsmmsinglecell" package

Here is a brief guide to show you how to uninstall r-bioc-hsmmsinglecell on Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-bioc-hsmmsinglecell
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-bioc-hsmmsinglecell package on Kali Linux

Package: r-bioc-hsmmsinglecell
Version: 1.22.0-1
Installed-Size: 16440
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-api-4.0, r-api-bioc-3.18
Size: 16773712
SHA256: 5d541401def72e2304762b80e732b51d832183c20d66f05ddf460201a97841dd
SHA1: ff4bee95334ef77273d2015956783c1c9e6f70f6
MD5sum: f675dc1fdd5c3d03695624d164a5f882
Description: Single-cell RNA-Seq for differentiating human skeletal muscle myoblasts
Skeletal myoblasts undergo a well-characterized sequence of
morphological and transcriptional changes during differentiation. In
this experiment, primary human skeletal muscle myoblasts (HSMM) were
expanded under high mitogen conditions (GM) and then differentiated by
switching to low-mitogen media (DM). RNA-Seq libraries were sequenced
from each of several hundred cells taken over a time-course of serum-
induced differentiation. Between 49 and 77 cells were captured at each
of four time points (0, 24, 48, 72 hours) following serum switch using
the Fluidigm C1 microfluidic system. RNA from each cell was isolated and
used to construct mRNA-Seq libraries, which were then sequenced to a
depth of ~4 million reads per library, resulting in a complete gene
expression profile for each cell.
Description-md5:
Homepage: https://bioconductor.org/packages/release/data/experiment/html/HSMMSingleCell.html
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-bioc-hsmmsinglecell/r-bioc-hsmmsinglecell_1.22.0-1_all.deb