Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Learn Challenge: Sharing and Collaboration | Reproducible and Genomic-Style Analysis
Practice
Projects
Quizzes & Challenges
Quizzes
Challenges
/
R for Biologists and Bioinformatics (Core)

bookChallenge: Sharing and Collaboration

In biological research, sharing your analysis with collaborators is crucial for transparency, reproducibility, and advancing science. Organizing your R project, exporting analysis results, and preparing files for sharing ensures that others can follow your workflow, understand your findings, and build upon your work. As you prepare to collaborate, you'll need to structure your project directory, save key results in accessible formats, and gather all necessary files for easy transfer. This challenge will help you practice these essential skills and reinforce your understanding of reproducible and collaborative analysis in R.

Task

Swipe to start coding

Organize an R project, export analysis results, and prepare files for sharing with collaborators.

  • Create directories for data, results, scripts, and figures.
  • Save a sample data frame as a CSV file in the data directory.
  • Perform a simple analysis on the data and save the results as a CSV file in the results directory.
  • Save an R script in the scripts directory that reproduces the analysis.
  • Create a README file in the main project directory describing the project and its structure.
  • List all files in the project to confirm they are ready for sharing.

Solution

Everything was clear?

How can we improve it?

Thanks for your feedback!

SectionΒ 4. ChapterΒ 6
single

single

Ask AI

expand

Ask AI

ChatGPT

Ask anything or try one of the suggested questions to begin our chat

close

bookChallenge: Sharing and Collaboration

Swipe to show menu

In biological research, sharing your analysis with collaborators is crucial for transparency, reproducibility, and advancing science. Organizing your R project, exporting analysis results, and preparing files for sharing ensures that others can follow your workflow, understand your findings, and build upon your work. As you prepare to collaborate, you'll need to structure your project directory, save key results in accessible formats, and gather all necessary files for easy transfer. This challenge will help you practice these essential skills and reinforce your understanding of reproducible and collaborative analysis in R.

Task

Swipe to start coding

Organize an R project, export analysis results, and prepare files for sharing with collaborators.

  • Create directories for data, results, scripts, and figures.
  • Save a sample data frame as a CSV file in the data directory.
  • Perform a simple analysis on the data and save the results as a CSV file in the results directory.
  • Save an R script in the scripts directory that reproduces the analysis.
  • Create a README file in the main project directory describing the project and its structure.
  • List all files in the project to confirm they are ready for sharing.

Solution

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

SectionΒ 4. ChapterΒ 6
single

single

some-alt