Skip to content

Valkenborg/SAILED

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

481 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

In this notebook series, we explore how different data analysis strategies affect the outcome of a proteomics experiment based on isobaric labeling and mass spectrometry. Start by reading the intro, and then pick a notebook of your interest!

If you wish to see the notebooks' underlying R code, visit the GitHub source repository.

Links to model-based-normalization workflows

Links to data-driven-normalization workflows

Extra analyses


Enjoy the read!
Piotr Prostko & Joris Van Houtven

About

On this page we collect a series of R Markdown scripts that represent different analysis strategies for isobaric-label spectra for quantitative proteomics. Each script is a manual that illustrate how a certain strategies performs on a benchmark data set. Performance metrics and a dashboard with relevant visualizations are provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors