How to Install and Uninstall cluster3 Package on Ubuntu 21.10 (Impish Indri)
Last updated: November 26,2024
1. Install "cluster3" package
Here is a brief guide to show you how to install cluster3 on Ubuntu 21.10 (Impish Indri)
$
sudo apt update
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$
sudo apt install
cluster3
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2. Uninstall "cluster3" package
This is a short guide on how to uninstall cluster3 on Ubuntu 21.10 (Impish Indri):
$
sudo apt remove
cluster3
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the cluster3 package on Ubuntu 21.10 (Impish Indri)
Package: cluster3
Architecture: amd64
Version: 1.59+ds-3
Priority: optional
Section: multiverse/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 4508
Depends: python3 (<< 3.10), python3 (>= 3.9~), python3:any, libc6 (>= 2.29), libx11-6, libxm4 (>= 2.3.4), libxt6
Recommends: treeview
Suggests: mapleview, smile
Filename: pool/multiverse/c/cluster3/cluster3_1.59+ds-3_amd64.deb
Size: 1396952
MD5sum: 049a60aae3a5e9076f25faa9aee667b3
SHA1: 947f814116b0a6cb881d4dd4c0ed89da72bfb6c0
SHA256: 4c32f01bf06c3a9a8954267f33783d5a6e6719d0b21c467782804780403cdfee
SHA512: 1583f23b1f6f3c9ef6cd3684d3c17848838683e20a979332002bd06ab01501dc071398598c2783f045fc4e3f1edf954b6d15ae30afc7b35f32971c9a98137c8b
Homepage: http://bonsai.hgc.jp/~mdehoon/software/cluster/
Description-en: Reimplementation of the Eisen-clustering software
The open source clustering software available here contains clustering
routines that can be used to analyze gene expression data. Routines for
hierarchical (pairwise simple, complete, average, and centroid linkage)
clustering, k-means and k-medians clustering, and 2D self-organizing maps
are included. The routines are available in the form of a C clustering
library, an extension module to Python, a module to Perl, as well as an
enhanced version of Cluster, which was originally developed by Michael
Eisen of Berkeley Lab. The C clustering library and the associated
extension module for Python was released under the Python license. The
Perl module was released under the Artistic License. Cluster 3.0 is
covered by the original Cluster/TreeView license.
.
This package only contains the command line and motif gui versions
of Cluster 3.0.
Description-md5: fdd3e34e11f67c13bdf614925d3877ff
Architecture: amd64
Version: 1.59+ds-3
Priority: optional
Section: multiverse/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 4508
Depends: python3 (<< 3.10), python3 (>= 3.9~), python3:any, libc6 (>= 2.29), libx11-6, libxm4 (>= 2.3.4), libxt6
Recommends: treeview
Suggests: mapleview, smile
Filename: pool/multiverse/c/cluster3/cluster3_1.59+ds-3_amd64.deb
Size: 1396952
MD5sum: 049a60aae3a5e9076f25faa9aee667b3
SHA1: 947f814116b0a6cb881d4dd4c0ed89da72bfb6c0
SHA256: 4c32f01bf06c3a9a8954267f33783d5a6e6719d0b21c467782804780403cdfee
SHA512: 1583f23b1f6f3c9ef6cd3684d3c17848838683e20a979332002bd06ab01501dc071398598c2783f045fc4e3f1edf954b6d15ae30afc7b35f32971c9a98137c8b
Homepage: http://bonsai.hgc.jp/~mdehoon/software/cluster/
Description-en: Reimplementation of the Eisen-clustering software
The open source clustering software available here contains clustering
routines that can be used to analyze gene expression data. Routines for
hierarchical (pairwise simple, complete, average, and centroid linkage)
clustering, k-means and k-medians clustering, and 2D self-organizing maps
are included. The routines are available in the form of a C clustering
library, an extension module to Python, a module to Perl, as well as an
enhanced version of Cluster, which was originally developed by Michael
Eisen of Berkeley Lab. The C clustering library and the associated
extension module for Python was released under the Python license. The
Perl module was released under the Artistic License. Cluster 3.0 is
covered by the original Cluster/TreeView license.
.
This package only contains the command line and motif gui versions
of Cluster 3.0.
Description-md5: fdd3e34e11f67c13bdf614925d3877ff