DIA-NN EasyFilter: KNIME Workflow for Proteomics Data Filtering and Visualization

DIA-NN EasyFilter (DEF) is a 26.5 MB KNIME-based workflow designed to address the challenge 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 modules. It demonstrates high comparability across studies using published large-scale proteomics datasets.

Use Cases

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

Strengths

• Workflow is optimized for efficient execution in the local KNIME desktop environment
• Demonstrated high comparability across studies regardless of instrument platform or dataset size
• File size is 26.5 MB, indicating a manageable download

Limitations

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

Provenance

Source

Gontse Mabuse Moagi

Collection Method

Developed as a KNIME workflow to process outputs from the DIA-NN computational tool

Time Range

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Freshness

Last updated 2026-04-27 20:05:53; freshness should be verified

Geography

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