How to Install and Uninstall percolator.i686 Package on Fedora 39
Last updated: November 29,2024
1. Install "percolator.i686" package
This guide covers the steps necessary to install percolator.i686 on Fedora 39
$
sudo dnf update
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$
sudo dnf install
percolator.i686
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2. Uninstall "percolator.i686" package
Please follow the instructions below to uninstall percolator.i686 on Fedora 39:
$
sudo dnf remove
percolator.i686
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$
sudo dnf autoremove
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3. Information about the percolator.i686 package on Fedora 39
Last metadata expiration check: 1:18:28 ago on Thu Mar 7 17:44:52 2024.
Available Packages
Name : percolator
Version : 3.06.01
Release : 2.fc39
Architecture : i686
Size : 1.9 M
Source : percolator-3.06.01-2.fc39.src.rpm
Repository : fedora
Summary : Software for postprocessing of shotgun proteomics data
URL : https://github.com/percolator/percolator
License : ASL 2.0 and MIT and BSD and LGPLv2+
Description : The first step in analyzing an mass spectrometry assay is to match
: the harvested spectra against a target database
: using database search engines such as Sequest and Mascot,
: a process that renders list of peptide-spectrum matches.
: However, it is not trivial to assess the accuracy
: of these identifications.
:
: Percolator uses a semi-supervised machine learning to
: discriminate correct from incorrect peptide-spectrum matches,
: and calculates accurate statistics such as q-value (FDR)
: and posterior error probabilities.
Available Packages
Name : percolator
Version : 3.06.01
Release : 2.fc39
Architecture : i686
Size : 1.9 M
Source : percolator-3.06.01-2.fc39.src.rpm
Repository : fedora
Summary : Software for postprocessing of shotgun proteomics data
URL : https://github.com/percolator/percolator
License : ASL 2.0 and MIT and BSD and LGPLv2+
Description : The first step in analyzing an mass spectrometry assay is to match
: the harvested spectra against a target database
: using database search engines such as Sequest and Mascot,
: a process that renders list of peptide-spectrum matches.
: However, it is not trivial to assess the accuracy
: of these identifications.
:
: Percolator uses a semi-supervised machine learning to
: discriminate correct from incorrect peptide-spectrum matches,
: and calculates accurate statistics such as q-value (FDR)
: and posterior error probabilities.