Single-cell omics course

A 7 day long summer workshop on single-cell (transcript)omics and data analysis.

News

• The slides are online:
  (Use 2D navigation with arrows, or simply click the space bar!)

  • 00.intro.SCG

  • 01.Next.gensequencing

  • 03.Single-cell.experiments

  • 04.1.1.Unix.essentials

  • 04.2.Analysis.pipeline

  • 04.3.File.formats

  • 04.x.Single-cell.prices

  • 05.0.Example.dataset.analysis.with.Seurat.html

  • 5.4.1.Linear.dimensionality.reduction.by.PCA.html

  • 5.4.6.Clustering.html

  • 5.4.7.Non-linear.dimensionality.reduction.by.tSNE.html

  • 5.4.8._Finding.differentially.expressed.genes.DEG.html

  • 05.x.Object.oriented.programming.brief.explanation.html

About the course

In this course we will combine lectures with on-hand data analysis to understand concepts and learn skills to analyze publicly available single-cell data for your own research.

Resources

• Overview and details are on the course website.
• Reading: http://bit.ly/Readings_SC_OMICS
• Schedule: http://bit.ly/Schedule_SC_OMICS
• Apply for the course online.

Topics covered

• Single-cell biology: concepts, history and technologies.
• Single-cell transcriptomics: experimental and analytic overview.
• R-programming to explore and visualize data.
• Data analysis concepts related to high-throughput data, and single-cell transcriptomics.
• Exploring published single-cell datasets as resource.