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pastml 1.9.46

PastML
PastML provides fast methods for Ancestral Character Reconstruction (ACR) and visualisation
on rooted phylogenetic trees. Given a rooted tree and its node annotations, it can either visualise them as-is,
or infer ancestral node states based on the tip states, with a selection of maximum likelihood and parsimonious methods.
The result is then visualised as a zoomable html map.

Article
Ishikawa SA, Zhukova A, Iwasaki W, Gascuel O (2019) A Fast Likelihood Method to Reconstruct and Visualize Ancestral Scenarios. Molecular Biology and Evolution, msz131.
How it works
For detailed description of the ACR methods, and visualization procedure used in PastML please visit our help page.
Try it online
Try PastML at pastml.pasteur.fr
Input data
As an input, one needs to provide a rooted phylogenetical tree in newick format,
and a table containing tip states,
in tab-delimited (by default) or csv format (to be specified with --data_sep , option).
Example
You can download HIV1-A in Albania data as an example.
Let's assume that the tree and annotation files are in the Downloads folder,
and are named respectively Albanian.tree.152tax.tre and data.txt.
The data.txt is a comma-separated file, containing tip ids in the first column,
and Country in the second column, i.e.:

id
Country

98CMAJ6932
Africa

98CMAJ6933
Africa

96CMAJ6134
Africa

00SEAY5240
WestEurope

...
...

02GRAY0303
Greece

97YUAF9960
EastEurope

Installation
There are 3 alternative ways to run pastml on your computer: with docker, singularity or in python3.
Run with docker
Basic usage
Once docker is installed, run the following command:
docker run -v <path_to_the_folder_containing_the_tree_and_the_annotations>:/data:rw -t evolbioinfo/pastml --tree /data/<tree_file.nwk> --data /data/<annotation_file.csv> --data_sep <separator_eg_,> --columns <column1 column2 ...> --html_compressed /data/<output_map.html>

For example, to reconstruct and visualise the ancestral Country states for Albanian data,
one needs to run the following command:
docker run -v ~/Downloads:/data:rw -t evolbioinfo/pastml --tree /data/Albanian.tree.152tax.tre --data /data/data.txt --columns Country --html_compressed /data/Albanian_map.html --data_sep ,

This will produce a file Albanian_map.html in the Downloads folder,
that can be viewed with a browser.
Help
To see advanced options, run
docker run -t evolbioinfo/pastml -h

Run with singularity
Basic usage
Once singularity is installed, run the following command:
singularity run docker://evolbioinfo/pastml --tree <path/to/tree_file.nwk> --data <path/to/annotation_file.csv> --columns <column1 column2 ...> --html_compressed <path/to/output/map.html> --data_sep <separator_eg_,>

For example, to reconstruct and visualise the ancestral Country states for Albanian data,
one needs to run the following command:
singularity run docker://evolbioinfo/pastml --tree ~/Downloads/Albanian.tree.152tax.tre --data ~/Downloads/data.txt --columns Country --html_compressed ~/Downloads/Albanian_map.html --data_sep ,

This will produce a file Albanian_map.html in the Downloads folder,
that can be viewed with a browser.
Help
To see advanced options, run
singularity run docker://evolbioinfo/pastml -h

Run in python3
Windows
For Windows users, we recommend installing pastml via Cygwin environment.
First instal python3 and pip3 from the Cygwin packages. Then install pastml:
pip3 install pastml

All other platforms
You can install pastml for python with or without conda, following the procedures described below:
Installing with conda
Once you have conda installed create an environment for pastml with python3, here we name it pastmlenv:
conda create --name pastmlenv python=3

Then activate it:
source activate pastmlenv

Then install pastml in it:
pip install pastml

Installing without conda
Make sure that pyhon3 and pip3 are installed, then install pastml:
pip3 install pastml

Basic usage in a command line
If you installed pastml via conda, do not forget to first activate the dedicated environment (here named pastmlenv), e.g.
source activate pastmlenv

To run pastml:
pastml --tree <path/to/tree_file.nwk> --data <path/to/annotation_file.csv> --columns <column1 column2 ...> --html_compressed <path/to/output/map.html> --data_sep <separator_eg_,>

For example, to reconstruct and visualise the ancestral Country states for Albanian data,
one needs to run the following command:
pastml --tree ~/Downloads/Albanian.tree.152tax.tre --data ~/Downloads/data.txt --columns Country --html_compressed ~/Downloads/Albanian_map.html --data_sep ,

This will produce a file Albanian_map.html in the Downloads folder,
that can be viewed with a browser.
Help
To see advanced options, run:
pastml -h

Basic usage in python3
from pastml.acr import pastml_pipeline

# Path to the table containing tip/node annotations, in csv or tab format
data = "~/Downloads/data.txt"

# Path to the tree in newick format
tree = "~/Downloads/Albanian.tree.152tax.tre"

# Columns present in the annotation table,
# for which we want to reconstruct ancestral states
# (for Albanian data we only have one column, but multiple columns are also allowed)
columns = ['Country']

# Path to the output compressed map visualisation
html_compressed = "~/Downloads/Albanian_map.html"

# (Optional) path to the output tree visualisation
html = "~/Downloads/Albanian_tree.html"

pastml_pipeline(data=data, data_sep=',', columns=columns, name_column='Country', tree=tree,
html_compressed=html_compressed, html=html, verbose=True)

Examples
See the examples folder for ideas :)