Learning Path

Transcriptomics and RNA Analysis

Genomics Fundamentals → Single-Cell RNA-seq (scRNA-seq) Overview

15 Knowledge Nodes · 15 Learning Steps · v0 Active

A comprehensive learning path for biology and computational biology students to master computational transcriptomics. It covers the full pipeline from RNA-seq data generation and processing to advanced analyses of differential expression, transcript assembly, alternative splicing, and non-coding RNAs, with a foundation in genomics and programming.

Knowledge Map

Explore the complete knowledge graph with this learning route highlighted, or switch to Route to focus on the route topology.

Explore Knowledge Structure

Explore all concepts and relationships across the complete graph.

15 nodes25 edges3 relationships

Drag to pan · Scroll to zoom · Click a node to inspect

Click a node to preview its details without leaving this path. Scroll to zoom, or open Fullscreen to explore the whole map.

Learning Route

15 learning steps · 4 phases. Click any step to inspect it and see it on the Knowledge Map.

Phase 1

Foundation

4 steps

Phase 2

Core Concepts

4 steps

Phase 3

Advanced Topics

4 steps

Phase 4

Specialization

3 steps