How to Install and Uninstall R-Rsolid.i686 Package on Fedora 39

Last updated: November 17,2024

1. Install "R-Rsolid.i686" package

Please follow the step by step instructions below to install R-Rsolid.i686 on Fedora 39

$ sudo dnf update $ sudo dnf install R-Rsolid.i686

2. Uninstall "R-Rsolid.i686" package

Please follow the step by step instructions below to uninstall R-Rsolid.i686 on Fedora 39:

$ sudo dnf remove R-Rsolid.i686 $ sudo dnf autoremove

3. Information about the R-Rsolid.i686 package on Fedora 39

Last metadata expiration check: 5:18:11 ago on Thu Mar 7 11:44:58 2024.
Available Packages
Name : R-Rsolid
Version : 0.9.31
Release : 44.fc39
Architecture : i686
Size : 54 k
Source : R-Rsolid-0.9.31-44.fc39.src.rpm
Repository : fedora
Summary : Quantile normalization and base calling for second generation sequencing data
URL : http://rafalab.jhsph.edu/Rsolid/
License : Artistic 2.0
Description :
: Rsolid is an R package for normalizing fluorescent intensity data from
: ABI/SOLiD second generation sequencing platform. It has been observed
: that the color-calls provided by factory software contain technical
: artifacts, where the proportions of colors called are extremely
: variable across sequencing cycles. Under the random DNA fragmentation
: assumption, these proportions should be equal across sequencing cycles
: and proportional to the dinucleotide frequencies of the sample.
:
: Rsolid implements a version of the quantile normalization algorithm
: that transforms the intensity values before calling colors. Results
: show that after normalization, the total number of mappable reads
: increases by around 5%, and number of perfectly mapped reads increases
: by 10%. Moreover a 2-5% reduction in overall error rates is observed,
: with a 2-6% reduction in the rate of valid adjacent color
: mis-matches. The latter is important, since it leads to a decrease in
: false-positive SNP calls.
:
: The normalization algorithm is computationally efficient. In a test we
: are able to process 300 million reads in 2 hours using 10 computer
: cluster nodes. The engine functions of the package are written in C
: for better performance.