GSE154778 Processing Pipeline

RNA-Seq code_examples 1 step

Publication

A super-enhancer-regulated RNA-binding protein cascade drives pancreatic cancer.

Nature communications (2023) — PMID 37673892

Dataset

GSE154778

Single-cell transcriptomics analysis of pancreatic primary tumor and metastatic biopsy tissues

Warning: Pipeline descriptions and code snippets may be inferred or AI-generated. Use them only as a starting point to guide analysis, and validate before use.
  1. 1

    Cell Ranger

    Cell Ranger vNot specified
    $ Bash example
    # Install Cell Ranger (example, adjust for specific environment and version)
    # Download Cell Ranger from the 10x Genomics website:
    # https://www.10xgenomics.com/support/software/cell-ranger/downloads
    # For example, to install version 8.0.0:
    # wget https://cf.10xgenomics.com/releases/cell-ranger/cellranger-8.0.0.tar.gz
    # tar -xzf cellranger-8.0.0.tar.gz
    # export PATH=/path/to/cellranger-8.0.0:$PATH
    
    # Reference Dataset: Cell Ranger requires a pre-built transcriptome reference.
    # This reference is typically generated once using the 'cellranger mkref' command
    # from a genome FASTA file and a gene annotation GTF file (e.g., from GENCODE or Ensembl).
    # As a placeholder, we'll assume a GRCh38 human transcriptome reference.
    # Example command to build a reference (replace paths and versions as needed):
    # cellranger mkref \
    #     --genome=GRCh38_v8.0.0 \
    #     --fasta=/path/to/GRCh38.primary_assembly.fa \
    #     --genes=/path/to/gencode.v38.annotation.gtf \
    #     --ref-version=8.0.0
    
    # Example: Run cellranger count for a single-cell RNA-seq experiment.
    # Replace 'sample_id', '/path/to/fastqs', and '/path/to/transcriptome_ref' with actual values.
    # The '--transcriptome' argument should point to the directory created by 'cellranger mkref'.
    cellranger count \
        --id=sample_id_output \
        --transcriptome=/path/to/cellranger_ref/GRCh38_v8.0.0 \
        --fastqs=/path/to/fastqs \
        --sample=sample_id \
        --localcores=16 \
        --localmem=64
    
Raw Source Text
Cell Ranger
Genome_build: hg19
Supplementary_files_format_and_content: csv format that contains the umi count for each gene in each barcodes (cells)
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