Department of Immunology

Harvard Medical School

Bioinformatics Resources

Advancing immunological research through computational tools, educational resources, and collaborative bioinformatics solutions.

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Bioinformatics Resources

Analysis Pipelines

Standardized computational pipelines for immunological data analysis.

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Datasets

Curated datasets for educational and research purposes.

Browse Datasets
RNA-seq QC Tool

Interactive Shiny application for comprehensive RNA sequencing data validation and preprocessing.

View Tool
Project Tracker

Comprehensive tool for managing and tracking bioinformatics research projects.

Launch Tracker

Educational Workshops

Introduction to R

Foundational R programming skills for immunological data analysis.

Beginner Level Repository
Single-Cell RNA-seq

Comprehensive workshop on single-cell RNA sequencing analysis.

Intermediate Level Repository

Analysis Pipelines

RNA-seq Quality Control & Preprocessing

Interactive Shiny application for comprehensive RNA sequencing data validation, quality assessment, filtering, and normalization. Features include automated data import, real-time validation, PCA visualization, correlation analysis, and multiple normalization methods.

R/Shiny RNA-seq QC Preprocessing
Production Ready
Additional Pipelines

More analysis pipelines are currently in development, including differential expression analysis, pathway enrichment tools, and advanced visualization modules.

Coming soon: Differential Gene Expression (DEG) Analysis Tool and Pathway & Functional Enrichment Analysis Tool.
In Development View All

Contact

Department of Immunology
Harvard Medical School

GitHub Organization

Eren Ada, PhD

Last updated: 06/05/2025