DIA-NN EasyFilter: KNIME Workflow for Proteomics Data Visualization

DIA-NN EasyFilter (DEF) is a 14.0 MB KNIME-based workflow designed to address the difficulty of interrogating DIA-NN proteomics outputs, which are typically provided as compressed PARQUET files requiring programming expertise. The workflow, authored by Gontse Mabuse Moagi and last updated in April 2026, integrates chromatographic peak filtering, contaminant libraries, and quality assessment for quantitative protein characterization. It is demonstrated to show high comparability across large-scale proteomics studies regardless of instrument platform or dataset size.

Use Cases

• Filtering proteomics data based on chromatographic peak quality mentioned in the description
• Assessing data quality and quantity using the integrated assessment modules
• Exploring qualitative and quantitative proteomics data through interactive visualization tools
• Removing contaminants using the curated contaminant libraries integrated into the workflow

Strengths

• Workflow is optimized for efficient execution in the local KNIME desktop environment
• Demonstrated utility and robustness using published large-scale proteomics datasets
• File size is a manageable 14.0 MB for distribution and use

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data may reflect temporal or source bias inherent to the demonstration datasets used

Provenance

Source

figshare

Collection Method

Developed as a computational workflow (DEF) to process outputs from the DIA-NN proteomics analysis tool.

Time Range

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Freshness

Last updated 2026-04-27 20:05:55

Geography

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