How to Install and Uninstall percolator.x86_64 Package on Rocky Linux 8
Last updated: November 10,2024
1. Install "percolator.x86_64" package
Here is a brief guide to show you how to install percolator.x86_64 on Rocky Linux 8
$
sudo dnf update
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$
sudo dnf install
percolator.x86_64
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2. Uninstall "percolator.x86_64" package
This guide let you learn how to uninstall percolator.x86_64 on Rocky Linux 8:
$
sudo dnf remove
percolator.x86_64
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$
sudo dnf autoremove
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3. Information about the percolator.x86_64 package on Rocky Linux 8
Last metadata expiration check: 0:46:33 ago on Mon Sep 12 10:27:18 2022.
Available Packages
Name : percolator
Version : 3.05
Release : 1.el8
Architecture : x86_64
Size : 2.0 M
Source : percolator-3.05-1.el8.src.rpm
Repository : epel
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 : 3.05
Release : 1.el8
Architecture : x86_64
Size : 2.0 M
Source : percolator-3.05-1.el8.src.rpm
Repository : epel
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.