Coder Social home page Coder Social logo

jerryatmda / emperor Goto Github PK

View Code? Open in Web Editor NEW

This project forked from biocore/emperor

0.0 1.0 0.0 25.83 MB

Emperor a tool for the analysis and visualization of large microbial ecology datasets

Home Page: http://emperor.microbio.me/uno

License: Other

Python 42.62% CSS 0.20% JavaScript 54.78% HTML 2.23% Shell 0.17%

emperor's Introduction

Emperor

Join the chat at https://gitter.im/biocore/emperor

Build Status Coverage Status

Emperor is a next-generation tool for the analysis and visualization of large microbial ecology datasets; amongst many features Emperor provides a modern user interface that will rapidly adjust to your daily workflow.

To start using Emperor, please refer to the installation notes.

Before contributing code to Emperor, please familiarize yourself with the contributing guidelines.

Usage examples

The main interface to create Emperor visualizations is the make_emperor.py script, inputing a mapping file and a PCoA data file, will generate an Emperor graphical user interface to analyze and visualize your data.

If you have a QIIME compliant mapping file and a PCoA file, try the following command from a terminal session:

make_emperor.py -i unweighted_unifrac_pc.txt -m mapping_file.txt

That command will create a new directory called emperor, there you will find a file called index.html open it with Google Chrome to start visualizing and interacting with your data.

Similarly if you have a study expressed over a gradient, for example a study where you have multiple samples over time, you can use this metadata with your visualization using the -a option:

make_emperor.py -i unweighted_unifrac_pc_time.txt -m mapping_with_time.txt -a TIMEPOINT

Some build examples are bundled with every Emperor repository, you can begin exploring some sample data using Google Chrome:

  • To see an example of a simple PCoA plot, see this link.
  • To see an example of a Jackknifed plot, see this link.
  • To see an example of a PCoA Biplot, see this link.
  • To see an example of a PCoA plot with connecting lines between samples, see this link.
  • To see an example of a PCoA plot with connecting lines between samples and an explicit axis, see this link.

emperor's People

Contributors

eldeveloper avatar antgonza avatar squirrelo avatar mortonjt avatar josenavas avatar jacksonchen avatar meganap avatar gregcaporaso avatar jairideout avatar wasade avatar drhodges avatar santiagotorres avatar jerryatmda avatar wdwvt1 avatar jorge-c avatar teravest avatar gitter-badger avatar

Watchers

 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.