Bioinformatics Methods for Transcriptomics
Key Takeaways
Covers bioinformatics methods for analyzing transcriptomic RNA sequencing data, including short read and long read sequencing
Original Description
This course will cover bioinformatics methods for analyzing transcriptomic RNA sequencing data generated with the short read (RNA-seq) and long read (PacBio, ONT) sequencing. In its four modules, the course addresses the core transcriptomics questions: What are the genes and transcripts expressed in a given sample or condition of an experiment?, What are their expression levels?, and What are the differences in gene expression and splicing patterns between conditions? It provides hands-on instruction on how to use popular and/or emerging tools such as STAR, PsiCLASS, DESeq2, rMATS, MntJULiP, Minimap2 and IsoQuant. This is an intermediate level course, and assumes basic knowledge on using command line bioinformatics tools in a Unix-type environment.
AI explanation not available for this lesson yet
This lesson is still being prepared for the AI tutor. In the meantime, explore lessons that are ready.
Browse explainer-ready lessons →
More on: Data Literacy
View skill →Related Reads
📰
📰
📰
📰
10 Backend Mistakes That Work Perfectly on localhost but Break in Production
Medium · DevOps
A reproducible memory-regression workflow for Node
Dev.to · Yaseen Khatib
Writing a real PNG compressor in vanilla JavaScript (no WASM, no libraries)
Dev.to · Ihtisham Khalil
The dev.to API can edit a published post. The quickstart never says so.
Dev.to · frank chu
🎓
Tutor Explanation
DeepCamp AI