How to Install and Uninstall lamarc Package on Ubuntu 20.04 LTS (Focal Fossa)
Last updated: November 26,2024
1. Install "lamarc" package
Please follow the step by step instructions below to install lamarc on Ubuntu 20.04 LTS (Focal Fossa)
$
sudo apt update
Copied
$
sudo apt install
lamarc
Copied
2. Uninstall "lamarc" package
In this section, we are going to explain the necessary steps to uninstall lamarc on Ubuntu 20.04 LTS (Focal Fossa):
$
sudo apt remove
lamarc
Copied
$
sudo apt autoclean && sudo apt autoremove
Copied
3. Information about the lamarc package on Ubuntu 20.04 LTS (Focal Fossa)
Package: lamarc
Architecture: amd64
Version: 2.1.10.1+dfsg-4build1
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: 9691
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 9), libtinyxml2.6.2v5, libwxbase3.0-0v5 (>= 3.0.4+dfsg), libwxgtk3.0-gtk3-0v5 (>= 3.0.4+dfsg-10~)
Filename: pool/universe/l/lamarc/lamarc_2.1.10.1+dfsg-4build1_amd64.deb
Size: 3585208
MD5sum: a32680076d82f049b9b657f26e02a0a6
SHA1: 5c771da443dc328e87073f816d6bf7b46f076528
SHA256: a3db95f645a3426445b244e8954d85ba414303985c54359300f6abd2a7212e5f
Homepage: http://evolution.gs.washington.edu/lamarc/
Description: Likelihood Analysis with Metropolis Algorithm using Random Coalescence
Description-md5: 83af88c2849d5e6ad8d625b97ca91d25
Architecture: amd64
Version: 2.1.10.1+dfsg-4build1
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: 9691
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 9), libtinyxml2.6.2v5, libwxbase3.0-0v5 (>= 3.0.4+dfsg), libwxgtk3.0-gtk3-0v5 (>= 3.0.4+dfsg-10~)
Filename: pool/universe/l/lamarc/lamarc_2.1.10.1+dfsg-4build1_amd64.deb
Size: 3585208
MD5sum: a32680076d82f049b9b657f26e02a0a6
SHA1: 5c771da443dc328e87073f816d6bf7b46f076528
SHA256: a3db95f645a3426445b244e8954d85ba414303985c54359300f6abd2a7212e5f
Homepage: http://evolution.gs.washington.edu/lamarc/
Description: Likelihood Analysis with Metropolis Algorithm using Random Coalescence
Description-md5: 83af88c2849d5e6ad8d625b97ca91d25