GithubHelp home page GithubHelp logo

nturaga / bioconductor-teaching Goto Github PK

View Code? Open in Web Editor NEW

This project forked from bioconductor/bioconductor-teaching

0.0 0.0 0.0 65.54 MB

Bioconductor teaching working group

Home Page: https://bioconductor.org/help/education-training/

R 0.03% HTML 99.97%

bioconductor-teaching's Introduction

R-CMD-check

The Bioconductor teaching committee

The Bioconductor teaching committee is a collaborative effort to consolidate Bioconductor-focused training material and establish a community of Bioconductor trainers. We define a curriculum and implement online lessons for beginner and more advanced R users who want to learn to analyse their data with Bioconductor packages.

The Bioconductor teaching committee reports to the Bioconductor Community Advisory Board. It is currently chaired by Charlotte Soneson and Laurent Gatto. Membership is open to everybody interested in contributing and joining the discussion during the monthly meetings (announced on the Google group, see below).

This meta-repository is used for general discussions. The respective lessons are developed as modules in their own repositories.

Modules

  • bioc-intro The Data science lesson is based on the Carpentries Ecology Curriculum. There are no pre-requisites for this module, and the materials assume no prior knowledge about R and Bioconductor. It introduces R, RStudio, teaches data cleaning, management, analysis, and visualisation and introduces some Bioconductor concepts. Notes are collated in bioc-intro.md in this repo.

  • bioc-project The Bioconductor project lesson provides an introduction to the Bioconductor project such as the Bioconductor home page, packages, package landing pages, and package vignettes, where to find help, Bioconductor workflows, Bioconductor release schedule and versions, some core infrastructure, ... It is meant to be use in combination with other modules as part of a wider workshop.

  • bioc-rnaseq Analysis and interpretation of bulk RNA-Sequencing data using Bioconductor shows how to use Bioconductor packages to analyse RNA-Seq data. It expects good familiarity with R and the Bioconductor project.

New lessons

If you are interested in contributing new lessons or Carpentry modules, feel free to get in touch with the teaching committee via slack of the google group (see below). We would be happy to discuss and/or contribute to anything related to the lesson design, general help with the long-term maintenance, dissemination of the lesson, or any help/topic you can think of.

Notes and meetings

Discussions

Contact

If you are interested in this project and want to get in touch or participate, please contact the group via the Google group or individual members on slack or by email.

bioconductor-teaching's People

Contributors

lgatto avatar csoneson avatar kevinrue avatar jdrnevich avatar rcastelo avatar kozo2 avatar nturaga avatar helenlindsay avatar petehaitch avatar lshep 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.