NCBI SRA Gene Feature RNA-Seq Counts for Human and Mouse

The NIH Sequence Read Archive (SRA) stores raw sequencing data from high-throughput next-generation platforms. NCBI has processed publicly released human and mouse RNA-Seq experiments to provide un-normalized gene feature counts. These counts are available in tab-delimited files with gene IDs and expression values.

Use Cases

• Perform differential gene expression analysis based on un-normalized RNA-Seq counts.
• Compare gene expression profiles across different studies within the SRA corpus.
• Integrate expression data from multiple public RNA-Seq experiments for meta-analysis.

Strengths

• Data originates from the authoritative NIH Sequence Read Archive (SRA).
• Counts are provided in a concise, tab-delimited format for direct analysis.
• The description specifies coverage of both human and mouse RNA-Seq experiments.

Limitations

• Row count and dataset scale are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM)

Collection Method

Gene expression analysis conducted on publicly released RNA-Seq experiments from the SRA.