Bioinformatics Self Learning Resources

Partek Flow  offers a very comprehensive analysis pipeline for single-cell RNAseq data analysis. 

• Start with BCL, FASTQ, count matrix (h5), or Seurat Object
• Pre-processing: filter barcode, alignment, single cell quality and filtering
• Classification: graph-based clustering, tSNE, UMAP, PCA
• Functional analysis: differential expression, trajectory analysis, tissue mapping

Tutorials

• Partek Flow Quick-start Guide
• Multiple-sample single-cell RNAseq workflow tutorial
• Single-sample single-cell RNAseq workflow tutorial

Webinars

• Introduction Single Cell Analysis with Partek Flow and Nadia
• Classification 
  • Single Cell Analysis - Identifying Cell Populations
  • Single Cell Analysis - Identifying Group Biomarkers
• Visualization and discovery: 
  • Single Cell Analysis - Visualization of CRISPR Data
  • Single Cell Analysis - Tissue Transcriptomics
  • Single Cell Analysis - Trajectory Analysis
• Additional single cell webinars: https://www.partek.com/application-page/single-cell-gene-expression/

2019 Partek onsite training - single cell

• Training recording - Overview
• Training recording - Live demo
• Hands-on practice workbook (PDF)

Start using Partek Flow

One of the most comprehensive scRNAseq courses (R-based) available for self-learning:

https://scrnaseq-course.cog.sanger.ac.uk/website/index.html