Coder Social home page Coder Social logo

smartgamer / deepstats Goto Github PK

View Code? Open in Web Editor NEW

This project forked from gtrichard/deepstats

0.0 0.0 0.0 8.58 MB

deepStats: a stastitical toolbox for deeptools and genomic signals

License: GNU General Public License v3.0

R 99.20% Shell 0.80%

deepstats's Introduction

CircleCI Conda version Downloads DOI GPL

Description

deepStats is a statistical and dataviz toolbox for deeptools, genomic signals, and more (GOterms, etc).

It aims at providing statistical analyses and streamlining the production of high quality, color-blind friendly, and fully customisable plots (up to the fonts!) for your classic genomic datasets (.bed, .bigwig, gene lists). The goal of deepStats is thus to significantly decrease the amount of time spent in Inkscape/Illustrator to get publication ready plots, and decreasing the research time allotted to finding proper statistical analyses for your genomic signals and datasets. It also aims at giving tools to complement deepTools functions.

This is currently a Work In Progress

Tools

Below are quickly presented the available tools. Click on their name to access their respective documentation, or check the Wiki: https://github.com/gtrichard/deepStats/wiki

Tool name Description
dsCompareCurves compares multiple genomic scores at multiple regions sets by bootstraps and per-bin distribution test.
dsComputeBEDDensity computes BED files features density along the genome given a bin size, output as bedGraphs.
dsComputeGCCoverage calculates the GC% along the genome for bins of a given size in a memory efficient way.

Citation

If you use deepStats in your work, please cite this repository using the following :

Gautier RICHARD. (2019, August 6). gtrichard/deepStats: deepStats 0.3.1 (Version 0.3.1). Zenodo. https://doi.org/10.5281/zenodo.3336593

Installation

  • As a command-line tool through Conda

deepStats is easily deployable as a command-line tool with conda. Use the following command to create a virtual env for deepStats. Don't install deepStats in your base env nor in an environment containing other tools. The installation can be quite long using the regular conda create command, this is thus recommended to use mamba create instead.

conda create -n mamba -c conda-forge mamba
conda activate mamba
mamba create -n deepStats -c bioconda -c conda-forge  deepstats
conda activate deepStats
  • As R Notebooks

Currently, R notebooks are not up-to-date.

Install the following packages in your R environment:

install.packages('optparse',repos = "http://cran.us.r-project.org")
install.packages('boot',repos = "http://cran.us.r-project.org")
install.packages('ggplot2',repos = "http://cran.us.r-project.org")
install.packages('cowplot',repos = "http://cran.us.r-project.org")
install.packages('tidyverse',repos = "http://cran.us.r-project.org")
install.packages('dichromat',repos = "http://cran.us.r-project.org")
install.packages('purrr',repos = "http://cran.us.r-project.org")

Then, access the R Notebooks stored in deepStats/notebooks/ by cloning this repository:

git clone https://github.com/gtrichard/deepStats
  • As Galaxy wrappers

You can install deepStats in a Galaxy instance through the Galaxy Tool Shed

deepstats's People

Contributors

gtrichard 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.