# writing

Writing

Notes on the tools I build, R Shiny, bioinformatics, and NF1.

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  1. R Shiny Template v2.0

    A reproducible and container-ready R Shiny template with renv, Docker, and Zenodo citation support.

    r shinypackages
  2. R Shiny Template

    Here's why you need a template for your next R Shiny app.

    r shinypackages
  3. Introduction to GlucoKinaseDB

    A Centralized Resource for Diabetes Drug Target Information

    bioinformatics
  4. Introduction to SEAS

    Understanding your sample subsets: an introduction to SEAS

    bioinformaticsr shiny
  5. Introduction to PepEngine

    A database of synthetic peptides with the non-standard amino acids

    bioinformatics
  6. Enrichment analysis and annotation using PAGER

    A database of annotations to enrich gene lists or identify cell types.

    bioinformaticsr shiny
  7. Microarray analysis for non-coders using sMAP

    An R Shiny application enabling researchers to analyze microarray datasets.

    bioinformaticsr shiny
  8. Deploy your Shiny App on AWS

    Learn how to deploy your R shiny app on AWS instance.

    r shinytutorials
  9. Introduction to Vitiligo Information Resource (VIRdb 2.0)

    A database for vitiligo biomarkers and its comorbidities.

    bioinformatics