How to Install and Uninstall mptp Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 23,2024

1. Install "mptp" package

Learn how to install mptp on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install mptp

2. Uninstall "mptp" package

Please follow the guidelines below to uninstall mptp on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove mptp $ sudo apt autoclean && sudo apt autoremove

3. Information about the mptp package on Ubuntu 21.10 (Impish Indri)

Package: mptp
Architecture: amd64
Version: 0.2.4-3
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: 268
Depends: libc6 (>= 2.29), libgsl25 (>= 2.6)
Recommends: bash-completion
Filename: pool/universe/m/mptp/mptp_0.2.4-3_amd64.deb
Size: 76516
MD5sum: 710f76c306d6a013a01c9e6b30000221
SHA1: fa2602dc4d80e5d5cbca211b91674cb5715a6409
SHA256: d1b4670df27d31eade3825a11377b351d7feb108e0bdc2348cadbb8a83b01c0c
SHA512: 81e9e6b7185e2e328519ade9f2e2c54388efce1c3e162037d85d5cb27146dabd4b988b3269c829734968c02b6b612f0e8822100cd88893f74200613e376ce277
Homepage: https://github.com/Pas-Kapli/mptp
Description-en: single-locus species delimitation
Implementation of a fast species delimitation method, based on PTP
(Zhang et al. 2013) with a 64-bit multi-threaded design that handles
very large datasets.
.
The tool mPTP can handle very large biodiversity datasets. It implements
a fast method to compute the ML delimitation from an inferred
phylogenetic tree of the samples. Using MCMC, it also computes the
support values for each clade, which can be used to assess the
confidence of the ML delimitation.
.
ML delimitation mPTP implements two flavours of the point-estimate
solution. First, it implements the original method from (Zhang et al.
2013) where all within-species processes are modelled with a single
exponential distribution. mPTP uses a dynamic programming implementation
which estimates the ML delimitation faster and more accurately than the
original PTP. The dynamic programming implementation has similar
properties as (Gulek et al. 2010). See the wiki for more information.
The second method assumes a distinct exponential distribution for the
branching events of each of the delimited species allowing it to fit to
a wider range of empirical datasets.
.
MCMC method mPTP generates support values for each clades. They
represent the ratio of the number of samples for which a particular node
was in the between-species process, to the total number of samples.
Description-md5: d7cf1c24ea0cfedf397ca38d0ce5d8a8