Coder Social home page Coder Social logo

askor's Introduction

AskoR - RNAseq data analysis tool

Authors: Susete Alves Carvalho, Kévin Gazengel (co-first), Stéphanie Robin, Sylvin Masanelli, Stéphanie Daval, Fabrice Legeai

AskoR is an R pipeline for gene expression analysis from RNAseq data. It allows, through the articulation of well-known R packages (EdgeR, UpSetR, topGO, Coseq), to perform a complete and automatic transcriptomic analysis: data filtering, normalisation of filtered data, descriptive analysis of data quality, differential gene expression analysis, enrichment in terms of "Gene Ontology", clustering genes by co-expression profile, and enhanced with multiple graphic representations.

Sample data

You'll find a test set in the inst/extdata/input folder. It'll be used for the vignettes documentation.

  • Count matrix file: CountsMatrix.txt OR Counts files per samples: files in "counts" directory (counts.tgz)
  • Samples file: Samples_CountsMatrix.txt OR Samples_CountsFiles.txt
  • Contrasts file: Contrasts.txt
  • Genes annotations file: Genes_annotations.txt (optional)
  • GO annotations file: GO_annotations.txt (optional)

IMPORTANT : All input files must be in a folder named input (case sensitive).

Vignettes

Download

NOTE: Currently it is preferable to use this method which is the most up to date.
If you don't want to install it: You can use the AskoR.R file in ScriptR instead and "run file" in the same directory.
Just source it in your R script file (see AskoR_analysis_script.R):

source("/directory/where/you/downloaded/the/file/AskoR.R")

OR

NOTE: This method is not up to date, we will update it asap !
Download the latest development code of AskoR from GitHub using devtools with

install.packages("devtools")
library(devtools)
devtools::install_github("askomics/askoR")

For Windows users only: install Rtools or check that it is already installed (needed to build the package).

License

The coseq package is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License, version 3, as published by the Free Software Foundation.

This program is distributed in the hope that it will be useful, but without any warranty; without even the implied warranty of merchantability or fitness for a particular purpose. See the GNU General Public License for more details.

A copy of the GNU General Public License, version 3, is available at http://www.r-project.org/Licenses/GPL-3.

askor's People

Contributors

asusete avatar flegeai avatar kgazengel avatar mboudet avatar sylvinmasanelli 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.