How to Install and Uninstall mlv-smile Package on Kali Linux
Last updated: December 23,2024
1. Install "mlv-smile" package
This guide let you learn how to install mlv-smile on Kali Linux
$
sudo apt update
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$
sudo apt install
mlv-smile
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2. Uninstall "mlv-smile" package
Please follow the steps below to uninstall mlv-smile on Kali Linux:
$
sudo apt remove
mlv-smile
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the mlv-smile package on Kali Linux
Package: mlv-smile
Version: 1.47-8
Installed-Size: 473
Maintainer: Debian Med Packaging Team
Architecture: amd64
Depends: libc6 (>= 2.29), perl:any
Size: 188772
SHA256: 756dbca3c592acceab36d76d5e77cf21278cba3718c957b594ff8745b59593e2
SHA1: f2542835c87d2a71e68554963efe1b9ec69e706a
MD5sum: d5a6f996e8930c266c0f7418009cea04
Description: Find statistically significant patterns in sequences
Smile determines sequence motifs on the basis of a set of DNA, RNA or
protein sequences.
* No hard limit on the number of combinations of motifs to describe
subsets of sequences.
* The sequence alphabet may be specified.
* The use of wildcards is supported.
* Better determination of significance of motifs by simulation.
* Introduction of a set of sequences with negative controls
that should not match automatically determined motifs.
Description-md5:
Homepage: http://www-igm.univ-mlv.fr/~marsan/smile_english.html
Section: science
Priority: optional
Filename: pool/main/m/mlv-smile/mlv-smile_1.47-8_amd64.deb
Version: 1.47-8
Installed-Size: 473
Maintainer: Debian Med Packaging Team
Architecture: amd64
Depends: libc6 (>= 2.29), perl:any
Size: 188772
SHA256: 756dbca3c592acceab36d76d5e77cf21278cba3718c957b594ff8745b59593e2
SHA1: f2542835c87d2a71e68554963efe1b9ec69e706a
MD5sum: d5a6f996e8930c266c0f7418009cea04
Description: Find statistically significant patterns in sequences
Smile determines sequence motifs on the basis of a set of DNA, RNA or
protein sequences.
* No hard limit on the number of combinations of motifs to describe
subsets of sequences.
* The sequence alphabet may be specified.
* The use of wildcards is supported.
* Better determination of significance of motifs by simulation.
* Introduction of a set of sequences with negative controls
that should not match automatically determined motifs.
Description-md5:
Homepage: http://www-igm.univ-mlv.fr/~marsan/smile_english.html
Section: science
Priority: optional
Filename: pool/main/m/mlv-smile/mlv-smile_1.47-8_amd64.deb