EBSOpenSource|Computational Biology Curriculum
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R for Bioinformatics

Master R for data analysis, visualization, and bioinformatics

R Basics & Operators

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Variables, arithmetic, logical & relational operators

Final Project: Gene Expression Calculator

+50 XP

Build a script that performs arithmetic and logical operations on simulated gene expression data using only base R operators.

Tidyverse

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Data manipulation with dplyr, tidyr, readr, purrr, and more

Final Project: TCGA Data Wrangling Pipeline

+50 XP

Clean and transform TCGA RNA-seq clinical data using dplyr and tidyr.

ggplot2

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Create stunning data visualizations with the grammar of graphics

Final Project: Publication-Quality Figure Panel

+50 XP

Create a multi-panel figure for a manuscript using ggplot2.

Bioconductor & BiocManager

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Install and use bioinformatics packages from Bioconductor

Final Project: Genomic Overlap Analysis

+50 XP

Find overlaps between ChIP-seq peaks and gene promoters using GenomicRanges.

org.Hs.eg.db

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Gene annotation, ID mapping, and functional analysis

Final Project: Gene Set Annotation Report

+50 XP

Annotate a DESeq2 result table with GO terms, pathways, and gene symbols using org.Hs.eg.db.

Dry Lab Research Projects

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Applied R projects for computational biology and dry lab research

Final Project: Full RNA-seq Analysis

+100 XP

End-to-end RNA-seq differential expression and pathway analysis.

DESeq2 & Differential Expression

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Identify differentially expressed genes with rigorous statistics

Final Project: Complete DESeq2 Analysis

+75 XP

End-to-end differential expression analysis from counts to biological interpretation.

R Markdown & Reproducible Reports

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Create dynamic, reproducible analysis reports

Final Project: Reproducible RNA-seq Report

+75 XP

Create a parameterized, publication-quality RNA-seq analysis report.

Biostrings & Sequence Analysis

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Analyze DNA, RNA, and protein sequences with Bioconductor

Final Project: Promoter Motif Scanner

+75 XP

Scan promoter sequences for transcription factor binding motifs using PWM matching.

Survival Analysis

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Analyze time-to-event data with Kaplan-Meier and Cox models

Final Project: TCGA Survival Biomarker Study

+75 XP

Identify and validate survival biomarkers from TCGA clinical and expression data.