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Mon 2 Mar, Mon 9 Mar, ... Mon 23 Mar 2020
16:00, ...
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Provided by: Department of Chemistry


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Single Cell RNA Sequencing
New

Mon 2 Mar, Mon 9 Mar, ... Mon 23 Mar 2020

Description

The course will outlay bioinformatic analysis of cell populations from single-cell RNA including visualisation, clustering and functional analysis of genes. This will be using the programming language R and packages such as Seurat. Participants are encouraged to bring their own laptop to follow along.

Lesson 1

  • 4.00 - 4.45pm = Setting up
  • 4.45 - 5.00pm = Break, questions
  • 5.00 - 6.00pm = Introduction to scRNA-Seq

Lesson 2

  • 1.00 - 1.45pm = QC, Normalising, Feature Selection
  • 1.45 - 2.00pm = Break, questions
  • 2.00 - 3.00pm = Scaling, Dimensionality reduction, Determining dimensionality of dataset

Lesson 3

  • 1.00 - 1.45pm = Clustering, UMAP/t-SNE
  • 1.45 - 2.00pm = Break, questions
  • 2.00 - 3.00pm = Cluster biomarkers, Assigning cell type identity, Differential expression, Enrichment

Lesson 4

  • 1.00 - 1.45pm = Work on dataset from Stanford/literature/own dataset
  • 1.45 - 2.00pm = Break, questions
  • 2.00 - 3.00pm = Work on dataset from Stanford/literature/own dataset
Target audience
  • Chemistry Postgraduates
  • Further details regarding eligibility criteria are available
Sessions

Number of sessions: 4

# Date Time Venue Trainers
1 Mon 2 Mar   16:00 - 18:00 16:00 - 18:00 Unilever Lecture Theatre Andrew Boardman,  L. Hosseini-Gerami
2 Mon 9 Mar   13:00 - 15:00 13:00 - 15:00 Todd-Hamied Andrew Boardman,  L. Hosseini-Gerami
3 Mon 16 Mar   13:00 - 15:00 13:00 - 15:00 Todd-Hamied Andrew Boardman,  L. Hosseini-Gerami
4 Mon 23 Mar   13:00 - 15:00 13:00 - 15:00 Todd-Hamied Andrew Boardman,  L. Hosseini-Gerami

Booking / availability