Veneer

Veneer analyzes results from mammalian cell surface N-glycocapture workflows, assigning protein localization based on defined experimental and bioinformatic evidence to standardize interpretation and reporting of cell surface proteomics data.

Key Features:

• Protein Localization Assignment: Veneer assigns protein localization based on defined experimental and bioinformatic evidence rather than varied ontology annotations or computational predictions alone.
• Updated Criteria and Process: The tool implements updated criteria and process for assigning protein localization to increase confidence in localization claims.
• Experimental Quality Assessment: Veneer can be used to assess experimental quality of cell surface N-glycocapture data sets.
• Data Extraction Facilitation: The tool facilitates data extraction for informing future biological studies and annotating public repositories.

Scientific Applications:

• Cell Surface Proteomics Analysis: Veneer enables standardized analysis and reporting of cell surface proteome data sets from N-glycocapture workflows.
• Cross-Study Data Comparison: Analysis of 587 cell surface N-glycocapture data sets from 32 published studies demonstrates the importance of applying defined criteria when analyzing cell surface proteomics data sets.
• Repository Annotation: The tool supports annotation of public repositories with standardized protein localization information.

Methodology:

Veneer analyzes results from cell surface N-glycocapture workflows and assigns protein localization based on defined experimental and bioinformatic evidence criteria.