GithubHelp home page GithubHelp logo

agudeloromero / everest Goto Github PK

View Code? Open in Web Editor NEW
10.0 1.0 0.0 81 KB

Viral genome assemble and characterisation

License: MIT License

Python 90.97% R 9.03%
genome-analysis genome-annotation genome-assembly viral-genomics viral-metagenomics viral-ngs

everest's Introduction

EVEREST (pipEline for Viral assEmbly and chaRactEriSaTion)

The current snakemake version of EVEREST is operational, but this repository is archived.

Further development is done under nextflow version here


Running EVEREST:

EVEREST is a snakemake pipeline for virus discovery, its main purpose is to characterise phage genomes isolates but can be also used for all the virome.

  1. Clone EVEREST repository.
$ git clone --recursive https://github.com/agudeloromero/EVEREST.git
  1. Create everest environment
  • Creating Snakemake from scratch following these steps (Recommended)
  • using everest.yml file provided here.
$ conda env -n everest create -f everest.yml
  1. EVEREST databases have to be requested by email, but they will open soon.

How to run

  • Edit conf/config.yml file to point to the input, output and databases directories.
  • The databases include the human genome as a reference to get rid off those reads. However, this link can be changed by an alternative genome. Example of how to download other genomes of interest can be seen here (https://github.com/agudeloromero/Reference_Genomes).
$ conda activate everest
(everest)$ snakemake --use-conda -j 2 --keep-going
  • Input directory should contain the .fastq.gz files to analyse ( -j option have to be set depending on number of available cores).
  • Files are expected to be named as "name_R1" and "name_R2" plus extension. In case you need to rename then, please see this example (https://github.com/agudeloromero/rename_fastq_files).

everest's People

Contributors

agudeloromero avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  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.