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