This repository contains the materials for the Boston-area Women's Bioinformatics Meetup for Cluster without the fluster: what to expect in a single-cell RNA-seq workflow. The materials highlight the different steps and considerations involved when performing a single-cell RNA-seq analysis, from raw data QC to clustering and marker identification.
Materials:
- Raw data to generation of the count matrix
- Quality control and filtering
- Integration of datasets and clustering
- Marker identification and identification of cell types
These materials have been developed by Mary Piper. These are open access materials distributed under the terms of the Creative Commons Attribution license (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- These materials were derived from work that is Copyright © Harvard Chan Bioinformatics Core (HBC). All HBC instructional material is made available under the Creative Commons Attribution license (CC BY 4.0).
- Adapted from the lessons by Harvard Chan Bioinformatics Core (HBC) with contributions from Mary Piper, Radhika Khetani, Meeta Mistry, Rory Kirchner, and Lorena Pantano.
- A portion of these materials and hands-on activities were adapted from the Satija Lab's Seurat - Guided Clustering Tutorial