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scRNA-seq Lessons from HCBC (first release)

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@jihe-liu jihe-liu released this 06 Jan 22:00
· 353 commits to master since this release
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Description
This repository has teaching materials for an Introduction to single-cell RNA-seq analysis workshop. This workshop will instruct participants on how to design a single-cell RNA-seq experiment, and how to efficiently manage and analyze the data starting from count matrices.

Learning Objectives

  • Explain common considerations when designing a single-cell RNA-seq experiment
  • Discuss the steps involved in taking raw single-cell RNA-sequencing data and generating a count (gene expression) matrix
  • Compute and assess QC metrics at every step in the workflow
  • Cluster cells based on expression data and derive the identity of the different cell types present
  • Perform integration of different sample conditions