COVID-19 Patient Cohort Proteomics Data: Protein and Peptide Identifications

Supplementary proteomics data from a study characterizing a cohort of patients with COVID-19. The dataset contains protein and peptide identifications generated using Progenesis QI for Proteomics software. It was authored by Shaufa Shareef and last updated on May 12, 2026.

Use Cases

• Identify potential protein biomarkers for COVID-19 severity based on peptide identification data.
• Validate proteomic analysis workflows using data processed with Progenesis QI software.
• Perform patient stratification analysis by correlating protein expression with clinical outcomes.
• Compare protein identification results across different patient subgroups within the COVID-19 cohort.

Strengths

• Data is openly licensed under CC-BY-4.0, permitting broad reuse.
• The dataset is focused on a specific clinical application (COVID-19 proteomics).
• File size is 464.5 KB, indicating a manageable download and processing scope.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Proteomic analysis using Progenesis QI for Proteomics software.

Freshness

Last updated 2026-05-12 04:43:27; freshness should be verified.