How to Install and Uninstall clonalframe Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 14,2024

1. Install "clonalframe" package

Please follow the guidance below to install clonalframe on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install clonalframe

2. Uninstall "clonalframe" package

Please follow the guidance below to uninstall clonalframe on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove clonalframe $ sudo apt autoclean && sudo apt autoremove

3. Information about the clonalframe package on Ubuntu 20.10 (Groovy Gorilla)

Package: clonalframe
Architecture: amd64
Version: 1.2-10build2
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 135
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libgsl25 (>= 2.6), libstdc++6 (>= 5.2)
Suggests: clonalframeml
Filename: pool/universe/c/clonalframe/clonalframe_1.2-10build2_amd64.deb
Size: 50732
MD5sum: 44b441a0a6bd258c818991e89dcd9e8b
SHA1: 32a6576b01474120d2526077390ec32902c9eebe
SHA256: fd985853bc32e96bacb2f859b0ddf7cd43debe66ba77049d7d481b5e5a52304d
SHA512: be7ba7cd573f83b289aea8ce27785a32a91cefcc15dbbdda45aa08b501e36a67f489d6f934df3b77a968bfc91a36dde62d6b1fb7aee78eaf384e42aab509eea1
Homepage: http://www.xavierdidelot.xtreemhost.com/clonalframe.htm
Description-en: inference of bacterial microevolution using multilocus sequence data
ClonalFrame identifies the clonal relationships between the members of
a sample, while also estimating the chromosomal position of homologous
recombination events that have disrupted the clonal inheritance.
.
ClonalFrame can be applied to any kind of sequence data, from a single
fragment of DNA to whole genomes. It is well suited for the analysis of
MLST data, where 7 gene fragments have been sequenced, but becomes
progressively more powerful as the sequenced regions increase in length
and number up to whole genomes. However, it requires the sequences to be
aligned. If you have genomic data that is not aligned, it is recommend to
use Mauve which produces alignment of whole bacterial genomes in
exactly the format required for analysis with ClonalFrame.
Description-md5: 819b92534a0771df03d25aa1b0334115