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Bioinformatics Self Learning Resources

Bioinformatics tools and learning resources relevant to sequencing data and other high-throughput genomic data analysis

Partek Flow

Partek Flow USC-logo 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






2019 Partek onsite training - single cell


Start using Partek Flow

Sanger Institute scRNAseq course

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