detelpy

detelpy identifies amino acid substitutions in mass spectrometry datasets and quantifies translation error rates across the proteome.

Key Features:

• High-throughput processing: Processes hundreds of mass spectrometry datasets in batch mode for proteome-wide analysis.
• Amino acid substitution detection: Identifies amino acid misincorporations in mass spectrometry data indicative of translation errors.
• Error rate calculation: Computes codon-specific and site-specific translation error rates from detected substitutions.
• Systematic error modeling: Enables construction of error models across organisms and conditions such as stress, drug exposure, or disease states.

Scientific Applications:

• Organismal biology: Comparative measurement of translation error rates across species.
• Stress response research: Analysis of how stress, drug exposure, or disease states affect translation fidelity.
• Proteomics: Identification and quantification of translation errors to refine proteomic analyses.

Methodology:

Processes mass spectrometry data in batch mode, detects amino acid misincorporations indicative of translation errors, and calculates codon-specific and site-specific translation error rates.