GithubHelp home page GithubHelp logo

jharman25 / phylopandas Goto Github PK

View Code? Open in Web Editor NEW

This project forked from zsailer/phylopandas

0.0 2.0 0.0 978 KB

Pandas DataFrames for phylogenetics

License: BSD 3-Clause "New" or "Revised" License

Python 100.00%

phylopandas's Introduction

Gitter chat Documentation Status Build Status Binder

Bringing the Pandas DataFrame to phylogenetics.

PhyloPandas provides a Pandas-like interface for reading sequence and phylogenetic tree data into pandas DataFrames. This enables easy manipulation of phylogenetic data using familiar Python/Pandas functions. Finally, phylogenetics for humans!

How does it work?

Don't worry, we didn't reinvent the wheel. PhyloPandas is simply a DataFrame (great for human-accessible data storage) interface on top of Biopython (great for parsing/writing sequence data) and DendroPy (great for reading tree data).

PhyloPandas does two things:

  1. It offers new read functions to read sequence/tree data directly into a DataFrame.
  2. It attaches a new phylo accessor to the Pandas DataFrame. This accessor provides writing methods for sequencing/tree data (powered by Biopython and dendropy).

Basic Usage

Sequence data:

Read in a sequence file.

import phylopandas as ph

df1 = ph.read_fasta('sequences.fasta')
df2 = ph.read_phylip('sequences.phy')

Write to various sequence file formats.

df1.phylo.to_clustal('sequences.clustal')

Convert between formats.

# Read a format.
df = ph.read_fasta('sequences.fasta')

# Write to a different format.
df.phylo.to_phylip('sequences.phy')

Tree data:

Read newick tree data

df = ph.read_newick('tree.newick')

Visualize the phylogenetic data (powered by phylovega).

df.phylo.show(
    height=500,
)

Contributing

If you have ideas for the project, please share them on the project's Gitter chat.

It's easy to create new read/write functions and methods for PhyloPandas. If you have a format you'd like to add, please submit PRs! There are many more formats in Biopython that I haven't had the time to add myself, so please don't be afraid to add them! I thank you ahead of time!

Testing

PhyloPandas includes a small pytest suite. Run these tests from base directory.

$ cd phylopandas
$ pytest

Install

Install from PyPI:

pip install phylopandas

Install from source:

git clone https://github.com/Zsailer/phylopandas
cd phylopandas
pip install -e .

Dependencies

  • BioPython: Library for managing and manipulating biological data.
  • DendroPy: Library for phylogenetic scripting, simulation, data processing and manipulation
  • Pandas: Flexible and powerful data analysis / manipulation library for Python
  • pandas_flavor: Flavor pandas objects with new accessors using pandas' new register API (with backwards compatibility).

phylopandas's People

Contributors

zsailer avatar harmsm avatar safay avatar biophyser avatar matsen avatar jvkersch avatar

Watchers

James Cloos avatar Joseph Harman avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.