Use a simple command to pull the SRR IDs for bulk downloading: cut -f 1 -d ',' SRR5273-653_688.csv > accessions.txt
If you are planning to process these samples, you can use this file to automate data retrieval:
Extract the raw reads for alignment or variant calling: fasterq-dump --split-files --outdir ./raw_data accessions.txt SRR5273-653_688.csv
For more detailed project context, you can search these specific accessions directly in the NCBI SRA Run Selector. The Sequence Read Archive (SRA) - NCBI - NIH
Use the SRA Toolkit to fetch the data: prefetch --option-file accessions.txt Use a simple command to pull the SRR
📊 Dataset Update: Genomic Run Metadata ( SRR5273-653_688.csv )
This CSV file contains the exported metadata for SRA accessions . These records are part of the public Sequence Read Archive (SRA) , which stores raw high-throughput sequencing data. 📂 File Contents 📂 File Contents Unique identifiers (SRR#) used to
Unique identifiers (SRR#) used to fetch raw FASTQ files.
Use a simple command to pull the SRR IDs for bulk downloading: cut -f 1 -d ',' SRR5273-653_688.csv > accessions.txt
If you are planning to process these samples, you can use this file to automate data retrieval:
Extract the raw reads for alignment or variant calling: fasterq-dump --split-files --outdir ./raw_data accessions.txt
For more detailed project context, you can search these specific accessions directly in the NCBI SRA Run Selector. The Sequence Read Archive (SRA) - NCBI - NIH
Use the SRA Toolkit to fetch the data: prefetch --option-file accessions.txt
📊 Dataset Update: Genomic Run Metadata ( SRR5273-653_688.csv )
This CSV file contains the exported metadata for SRA accessions . These records are part of the public Sequence Read Archive (SRA) , which stores raw high-throughput sequencing data. 📂 File Contents
Unique identifiers (SRR#) used to fetch raw FASTQ files.