hands-on tutorial
Hands-on for 'Filter, Plot and Explore Single-cell RNA-seq Data' tutorial
The questions this addresses are:
- Is my single cell dataset a quality dataset?
- How do I generate and annotate cell clusters?
- How do I pick thresholds and parameters in my analysis? What's a "reasonable" number, and will the world collapse if I pick the wrong one?
The objectives are:
- Interpret quality control plots to direct parameter decisions
- Repeat analysis from matrix to clustering
- Identify decision-making points
- Appraise data outputs and decisions
- Explain why single cell analysis is an iterative (i.e. the first plots you generate are not final, but rather you go back and re-analyse your data repeatedly) process
Licence: Creative Commons Attribution 4.0 International
Keywords: single-cell, single-cell, 10x, paper-replication, español, transcriptomics
Target audience: Students
Resource type: hands-on tutorial
Contributors: Wendi Bacon
Scientific topics: Transcriptomics
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