How to Install and Uninstall openms.x86_64 Package on Fedora 34

Last updated: November 28,2024

1. Install "openms.x86_64" package

Please follow the guidelines below to install openms.x86_64 on Fedora 34

$ sudo dnf update $ sudo dnf install openms.x86_64

2. Uninstall "openms.x86_64" package

Here is a brief guide to show you how to uninstall openms.x86_64 on Fedora 34:

$ sudo dnf remove openms.x86_64 $ sudo dnf autoremove

3. Information about the openms.x86_64 package on Fedora 34

Last metadata expiration check: 1:19:42 ago on Tue Sep 6 14:10:38 2022.
Available Packages
Name : openms
Version : 2.6.0
Release : 7.fc34
Architecture : x86_64
Size : 9.9 M
Source : openms-2.6.0-7.fc34.src.rpm
Repository : updates
Summary : LC/MS data management and analyses
URL : http://www.openms.de/
License : BSD
Description : OpenMS is a C++ library for LC-MS data management and analyses.
: It offers an infrastructure for the rapid development of mass spectrometry
: related software. OpenMS is free software available under the three clause BSD
: license and runs under Windows, MacOSX and Linux.
:
: It comes with a vast variety of pre-built and ready-to-use tools for proteomics
: and metabolomics data analysis (TOPPTools) and
: powerful 2D and 3D visualization(TOPPView).
:
: OpenMS offers analyses for various quantitation protocols,
: including label-free quantitation, SILAC, iTRAQ, SRM, SWATH, etc.
:
: It provides built-in algorithms for de-novo identification and database search,
: as well as adapters to other state-of-the art tools like XTandem, Mascot,
: OMSSA, etc.
: It supports easy integration of OpenMS built tools into workflow engines like
: Knime, Galaxy, WS-Pgrade, and TOPPAS via the TOPPtools concept and
: a unified parameter handling via a 'common tool description' (CTD) scheme.
:
: The OpenMS Proteomics Pipeline is a pipeline for
: the analysis of HPLC-MS data.
: It consists of several small applications that
: can be chained to create analysis pipelines tailored
: for a specific problem.
:
: The TOPP tools are divided into several subgroups:
:
: - Graphical Tools
: - File Handling
: - Signal Processing and Preprocessing
: - Quantitation
: - Map Alignment
: - Protein/Peptide Identification
: - Protein/Peptide Processing
: - Targeted Experiments
: - Peptide Property Prediction
: - Misc