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olinkwrapper Code

The app provides user-friendly interface for performing olink analysis

Brought to you by: jd2112
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File Date Author Commit
 .github 2025-03-27 Jyotirmoy Das Jyotirmoy Das [9b8f05] Update shinyapps_deploy.yml
 CONTRIBUTION 2024-12-06 jd2112 jd2112 [7f8005] first commit
 app 2025-08-12 jd2112 jd2112 [f9f61b] v1.2.4 - linear regression added
 helpers 2025-01-22 jd2112 jd2112 [305353] renv added, dockerfile added
 script 2025-01-27 jd2112 jd2112 [5883de] new features added
 .Rprofile 2025-01-22 jd2112 jd2112 [305353] renv added, dockerfile added
 .gitignore 2025-03-28 jd2112 jd2112 [8ee3ab] Updated:bugs fixed
 CITATION.cff 2025-03-28 jd2112 jd2112 [ee6653] Updated: bugs fixed
 CODEOWNERS.md 2024-12-06 jd2112 jd2112 [7f8005] first commit
 CODE_OF_CONDUCT.md 2024-12-06 jd2112 jd2112 [7f8005] first commit
 Dockerfile 2025-08-12 jd2112 jd2112 [f9f61b] v1.2.4 - linear regression added
 Instructions.md 2025-03-28 jd2112 jd2112 [ee6653] Updated: bugs fixed
 LICENSE 2025-01-22 Jyotirmoy Das Jyotirmoy Das [5e9f15] Update LICENSE
 README.md 2025-03-28 jd2112 jd2112 [ee6653] Updated: bugs fixed
 SECURITY.md 2024-12-06 jd2112 jd2112 [7f8005] first commit
 renv.lock 2025-03-28 jd2112 jd2112 [421021] bugs fixed: Pathway analysis

Read Me

Shiny for Olink Data Analysis

(Under active development)

DOI
GitHub Invite Collaborators

This Shiny app provides a user-friendly interface for performing quick analysis of Olink data using OlinkAnalyze package. It allows for data upload, parameter customization, visualization of results, and exporting of analysis outputs.

Data Upload and Merging

NOTE:

  • needs to change the separator from ; to ,.
  • should not be any space in the column name.
  • should not any special character or Swedish characters (Ö,Ä,Å) in the column name.

In the sidebar, you'll find three file upload buttons:

  • Upload NPX Data (CSV) - needs to have SampleID column
  • Upload Key File (CSV) - needs to have SampleID and SUBJID columns
  • Upload Variables File (CSV) - needs to have SUBJID columns

How to run locally

Using R

R # laod R >= 4.3.1
library(shiny)
shiny::runApp("app.R")

Using Docker

docker run --rm -p 3838:3838 jd21/shinyolink:v1.2.1

Online webserver

https://olinkwrapper.serve.scilifelab.se/

Highlights

  1. Data upload and merging
  2. Data preview
  3. Descriptive statistics
  4. Normality tests for individual proteins
  5. PCA plot with customizable options
  6. T-Test with downloadable results
  7. ANOVA with customizable number of covariates and downloadable results
  8. Volcano plot
  9. Violin plot for selected proteins

Credits

  • Main Author:

    • Jyotirmoy Das (@JD2112)
  • Collaborators:

    • Debojyoti Das (@BioDebojyoti)

References

See OlinkAnalyze package https://github.com/Olink-Proteomics/OlinkRPackage

Citation

Das, J. (2025). olinkWrappeR (v1.2.1). Zenodo. https://doi.org/10.5281/zenodo.15098644

Acknowledgement

I would like to acknowledge the Core Facility, Faculty of Medicine and Health Sciences, Linköping University, Linköping, Sweden and Clinical Genomics Linköping, Science for Life Laboratory, Sweden for their support to build this application and SciLifeLab data center to host the application on their server.

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