GithubHelp home page GithubHelp logo

emmaggie / virtualeating Goto Github PK

View Code? Open in Web Editor NEW

This project forked from andrewblane/virtualeating

0.0 1.0 0.0 26.68 MB

Digital methods for CRISPR-EATING

License: Apache License 2.0

Jupyter Notebook 96.48% Python 3.52%

virtualeating's Introduction

VirtualEating

Andrew Lane, University of California, Berkeley

Changelog:

20150930 (v. 2.0): Major overhaul. The iPython notebook examples/implementation have been deprecated (moved to the archive folder) and the core logic abstracted into the eating module. 20150530 (v. 1.0): Initial release.

Description

The eating package is a set of functions designed to help in planning, implementing and analyzing CRISPR-EATING enzymatically generated sgRNA libraries for genome labeling or screening as decribed in Lane et al., 2015

Installation:

Copy the eating folder from this git repo into to your python site-packages directory or your project working directory.

virtualeating's People

Contributors

andrewblane avatar crispr-test avatar

Watchers

James Cloos avatar

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    🖖 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. 📊📈🎉

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 ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.