GSE136908 Processing Pipeline

RNA-Seq code_examples 2 steps

Publication

Suppression of Endothelial AGO1 Promotes Adipose Tissue Browning and Improves Metabolic Dysfunction.

Circulation (2020) — PMID 32393053

Dataset

GSE136908

RNA Seq of HMVEC under hypoxia

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

    STAR2.6.0a was used to align reads to the genome with default parameters

    $ Bash example
    # Install STAR (example using conda)
    # conda install -c bioconda star=2.6.0a
    
    # Define variables
    # Placeholder for the pre-built STAR genome index (e.g., for hg38)
    GENOME_DIR="/path/to/STAR_genome_index/hg38"
    # Placeholder for input FASTQ files (assuming paired-end reads)
    READS_R1="sample_R1.fastq.gz"
    READS_R2="sample_R2.fastq.gz"
    # Prefix for output files
    OUTPUT_PREFIX="sample_aligned"
    # Number of threads to use (a common default might be 8 or more)
    NUM_THREADS=8
    
    # Run STAR alignment with default parameters
    # STAR 2.6.0a was used to align reads to the genome.
    STAR \
      --genomeDir "${GENOME_DIR}" \
      --readFilesIn "${READS_R1}" "${READS_R2}" \
      --runThreadN "${NUM_THREADS}" \
      --outFileNamePrefix "${OUTPUT_PREFIX}_" \
      --outSAMtype BAM SortedByCoordinate \
      --outSAMattributes All
  2. 2

    Kallisto0.44.0 was used to quantify transcripts abundance in terms of TPM

    Kallisto v0.44.0 GitHub
    $ Bash example
    # Assume Kallisto 0.44.0 is installed and in PATH.
    # For installation, you might use:
    # conda create -n kallisto_env kallisto=0.44.0 -c bioconda -c conda-forge
    # conda activate kallisto_env
    
    # Placeholder for reference transcriptome index (e.g., human GRCh38 cDNA)
    # Replace with your actual index file path
    KALLISTO_INDEX="path/to/your/GRCh38_kallisto_index.idx"
    
    # Placeholder for input RNA-seq reads (assuming paired-end)
    # Replace with your actual input FASTQ files
    READS_R1="path/to/your/sample_R1.fastq.gz"
    READS_R2="path/to/your/sample_R2.fastq.gz"
    
    # Output directory for quantification results
    OUTPUT_DIR="kallisto_quant_output"
    
    # Create output directory if it doesn't exist
    mkdir -p "${OUTPUT_DIR}"
    
    # Run Kallisto quantification
    kallisto quant \
      -i "${KALLISTO_INDEX}" \
      -o "${OUTPUT_DIR}" \
      "${READS_R1}" \
      "${READS_R2}"
    

Tools Used

Raw Source Text
STAR2.6.0a was used to align reads to the genome with default parameters
Kallisto0.44.0 was used to quantify transcripts abundance in terms of TPM
Genome_build: hg38
Supplementary_files_format_and_content: tab-delimited text files include TPM values
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