How to Install and Uninstall aevol Package on Ubuntu 20.04 LTS (Focal Fossa)
Last updated: November 21,2024
1. Install "aevol" package
Please follow the instructions below to install aevol on Ubuntu 20.04 LTS (Focal Fossa)
$
sudo apt update
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$
sudo apt install
aevol
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2. Uninstall "aevol" package
Please follow the instructions below to uninstall aevol on Ubuntu 20.04 LTS (Focal Fossa):
$
sudo apt remove
aevol
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the aevol package on Ubuntu 20.04 LTS (Focal Fossa)
Package: aevol
Architecture: amd64
Version: 5.0+ds-1build1
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: 4835
Depends: libboost-filesystem1.71.0, libc6 (>= 2.15), libgcc-s1 (>= 3.0), libgomp1 (>= 6), libstdc++6 (>= 5.2), libx11-6, zlib1g (>= 1:1.1.4)
Filename: pool/universe/a/aevol/aevol_5.0+ds-1build1_amd64.deb
Size: 563864
MD5sum: 1af1be1c9e1fec10f56b8b81720a23b8
SHA1: 9b90c8855ce74c96ab35adb7755de8601345e2b2
SHA256: 68260ebaf2b91ceb7109c994f94ab746b9b7d2d61d73161844923138982aec70
Homepage: http://www.aevol.fr/
Description: digital genetics model to run Evolution Experiments in silico
Description-md5: c506f0e4b59e40f15c941d3aed497d29
Architecture: amd64
Version: 5.0+ds-1build1
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: 4835
Depends: libboost-filesystem1.71.0, libc6 (>= 2.15), libgcc-s1 (>= 3.0), libgomp1 (>= 6), libstdc++6 (>= 5.2), libx11-6, zlib1g (>= 1:1.1.4)
Filename: pool/universe/a/aevol/aevol_5.0+ds-1build1_amd64.deb
Size: 563864
MD5sum: 1af1be1c9e1fec10f56b8b81720a23b8
SHA1: 9b90c8855ce74c96ab35adb7755de8601345e2b2
SHA256: 68260ebaf2b91ceb7109c994f94ab746b9b7d2d61d73161844923138982aec70
Homepage: http://www.aevol.fr/
Description: digital genetics model to run Evolution Experiments in silico
Description-md5: c506f0e4b59e40f15c941d3aed497d29