Additional file 1 of Computational identification of novel therapeutic candidates for Stre

Supplementary material from a computational drug repositioning study for Streptococcus pyogenes and influenza A coinfections. The dataset contains mapped read counts and lists of differentially expressed genes, authored by Kevin Strey and last updated in April 2026. It is provided as a 3.2 MB XLSX file under a CC-BY-4.0 license.

Use Cases

• Validate differential gene expression results based on the provided read counts and gene lists.
• Perform secondary analysis for drug repositioning based on the identified transcriptional signatures.
• Compare gene expression patterns in bacterial-viral coinfection models.

Strengths

• Data is directly linked to a peer-reviewed research article on computational drug repositioning.
• The dataset is openly available under a permissive CC-BY-4.0 license.
• File size of 3.2 MB suggests a focused, manageable dataset for analysis.

Limitations

• Row count and specific column definitions are unknown, requiring manual inspection after download.
• Description metadata is limited; actual data quality and completeness require verification.

Provenance

Source

Kevin Strey via figshare.

Collection Method

Likely generated from RNA-seq analysis as part of a computational biology study.

Freshness

Last updated 2026-04-25 03:37:58; freshness should be verified.