The most commonly used constructors are available from this toplevel module.
cogent3 is a mature python library for analysis of genomic sequence data. We endeavour to provide a first-class experience within Jupyter notebooks, but the algorithms also support parallel execution on compute systems with 1000's of processors.
Who is it for?
Anyone who wants to analyse sequence divergence using robust statistical models
cogent3 is unique in providing numerous non-stationary Markov models for modelling sequence evolution, including codon models.
cogent3 also includes an extensive collection of time-reversible models (again including novel codon models). We have done more than just invent these new methods, we have established the most robust algorithms for their implementation and their suitability for real data. Additionally, there are novel signal processing methods focussed on statistical estimation of integer period signals.
Anyone who wants to undertake exploratory genomic data analysis
Beyond our novel methods,
cogent3 provides an extensive suite of capabilities for manipulating and analysing sequence data. You can manipulate sequences by their annotations, e.g.
Plus, you can read standard tabular and biological data formats, perform multiple sequence alignment using any
cogent3 substitution models, phylogenetic reconstruction and tree manipulation, manipulation of tabular data, visualisation of phylogenies and much more.
Anyone looking for a functional programming style approach to genomic data analysis
cogent3.app module provides a very different approach to using the library capabilities. Notably, a functional programming style interface lowers the barrier to entry for using
cogent3's advanced capabilities. It also supports building pipelines suitable for large-scale analysis. Individuals comfortable with R should find this interface pretty easy to use.
$ pip install cogent3
extra -- adds visualisation support
$ pip install "cogent3[extra]"
dev -- adds
cogent3 development related libraries
dev group includes python libraries required for development of
$ pip install "cogent3[dev]"
Install the development version
$ pip install git+https://github.com/cogent3/cogent3.git@develop#egg=cogent3
cogent3 is released under the BSD-3 license, documentation is at cogent3.org, while
cogent3 code is on GitHub. If you would like to contribute (and we hope you do!), we have created a companion
c3dev GitHub repo which provides details on how to contribute and some useful tools for doing so.
cogent3 is a descendant of PyCogent. While there is much in common with PyCogent, the amount of change has been substantial, motivating the name change to
cogent3. This name has been chosen because
cogent was always the import name (dating back to PyEvolve in 2004) and it's Python 3 only.
Given this history, we are grateful to the multitude of individuals who have made contributions over the years. These individuals are explicitly acknowledged in all the files they contributed to and were co-authors on the original PyEvolve and PyCogent publications.
Compared to PyCogent version 1.9, there has been a massive amount of changes. These include integration of many of the new developments on algorithms and modelling published by the Huttley lab over the last decade. We have also modernised our dependencies. For example, we now use
plotly for visualisation,
tqdm for progress bar display,
mpi4py.futures for parallel process execution,
pytest for unit testing.
Release history Release notifications | RSS feed
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size cogent3-2021.10.12a1.tar.gz (101.0 MB)||File type Source||Python version None||Upload date||Hashes View|
|Filename, size cogent3-2021.10.12a1-py3-none-any.whl (636.2 kB)||File type Wheel||Python version py3||Upload date||Hashes View|
Hashes for cogent3-2021.10.12a1-py3-none-any.whl