How to Install and Uninstall mptp Package on Kali Linux
Last updated: December 23,2024
1. Install "mptp" package
This is a short guide on how to install mptp on Kali Linux
$
sudo apt update
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$
sudo apt install
mptp
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2. Uninstall "mptp" package
Please follow the step by step instructions below to uninstall mptp on Kali Linux:
$
sudo apt remove
mptp
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the mptp package on Kali Linux
Package: mptp
Source: mptp (0.2.4-3)
Version: 0.2.4-3+b2
Installed-Size: 286
Maintainer: Debian Med Packaging Team
Architecture: amd64
Depends: libc6 (>= 2.34), libgsl27 (>= 2.7.1)
Recommends: bash-completion
Size: 82800
SHA256: d82895b3b9899c3da16a347563d8223fa791d15cd162fb866aae1c4efe24fc79
SHA1: 1520bac108da329ad64f6056f132a0ca3553e303
MD5sum: 362b787125d5d0555460de8da4b4cbb3
Description: 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:
Homepage: https://github.com/Pas-Kapli/mptp
Section: science
Priority: optional
Filename: pool/main/m/mptp/mptp_0.2.4-3+b2_amd64.deb
Source: mptp (0.2.4-3)
Version: 0.2.4-3+b2
Installed-Size: 286
Maintainer: Debian Med Packaging Team
Architecture: amd64
Depends: libc6 (>= 2.34), libgsl27 (>= 2.7.1)
Recommends: bash-completion
Size: 82800
SHA256: d82895b3b9899c3da16a347563d8223fa791d15cd162fb866aae1c4efe24fc79
SHA1: 1520bac108da329ad64f6056f132a0ca3553e303
MD5sum: 362b787125d5d0555460de8da4b4cbb3
Description: 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:
Homepage: https://github.com/Pas-Kapli/mptp
Section: science
Priority: optional
Filename: pool/main/m/mptp/mptp_0.2.4-3+b2_amd64.deb