Code Monkey home page Code Monkey logo

cnvpytor_binder's Introduction

Launch CNVpytor Binder

Analysis of CNVpytor results (Binder-ready)

This repository was developed for the interactive analysis and visualisation of genome-wide copy number variations (CNV) from Whole-Genome-Sequencing (WGS) data using CNVpytor [1].

Instructions

Launch Binder with this repository by clicking on this badge - Launch CNVpytor Binder, then follow the instructions in the CNVpytor repository.
An example Jupyter notebook is available in the Example folder. All the required packages and data files are “bound” in the repository and you can start working straight away.

For more details and instructions how to setup a similar repository, please visit From Zero to Binder in R!

  1. Suvakov M, Panda A, Diesh C, Holmes I, Abyzov A. CNVpytor: a tool for copy number variation detection and analysis from read depth and allele imbalance in whole-genome sequencing. GigaScience. 2021 Nov 1;10(11):giab074. https://doi.org/10.1093/gigascience/giab074

cnvpytor_binder's People

Contributors

idobar avatar

Stargazers

 avatar

Watchers

 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.