GSE133509 Processing Pipeline
RNA-Seq
code_examples
1 step
Publication
Longitudinal assessment of tumor development using cancer avatars derived from genetically engineered pluripotent stem cells.Nature communications (2020) — PMID 31992716
Dataset
GSE133509Cancer avatars derived from genetically engineered pluripotent stem cells allow for longitudinal assessment of tumor development
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.
Processing Steps
Generate Jupyter Notebook-
1
alignment, cell barcode processing, umis processing, abundance measurements: cellranger count (version 2.1.1)
Cell Ranger v2.1.1$ Bash example
# Install Cell Ranger (example, adjust path as needed) # wget https://cf.10xgenomics.com/releases/cell-exp/cellranger-2.1.1.tar.gz # tar -xzf cellranger-2.1.1.tar.gz # export PATH=/path/to/cellranger-2.1.1:$PATH # Define variables for clarity FASTQ_INPUT_DIR="/path/to/your/fastq_files" # Directory containing FASTQ files for the sample REFERENCE_PATH="/path/to/cellranger_reference/GRCh38_transcriptome" # Placeholder for Cell Ranger-compatible reference transcriptome (e.g., refdata-gex-GRCh38-2020-A) SAMPLE_NAME="my_sample" # A unique name for this sample, used for output directory and matching FASTQ files # Run cellranger count cellranger count \ --id="${SAMPLE_NAME}_count" \ --transcriptome="${REFERENCE_PATH}" \ --fastqs="${FASTQ_INPUT_DIR}" \ --sample="${SAMPLE_NAME}" \ --localcores=16 \ --localmem=64
Raw Source Text
alignment, cell barcode processing, umis processing, abundance measurements: cellranger count (version 2.1.1) Genome_build: hg19 Supplementary_files_format_and_content: XXX_summary.html: summary HTML file containing summary metrics and automated secondary analysis results Supplementary_files_format_and_content: XXX_filtered_gene_bc_matrices_h5.h5: gene-barcode matrix in sparse h5 format