ProteoAnnotator Services
ProteoAnnotator provides advanced services for integrating proteomics data into genomic databases. These services are essential for studying proteins and their functions, which is critical for understanding complex biological systems.
Gene Model Validation & Protein Confirmation
Practical Application: Validates the expression of predicted genes as proteins by aligning peptides from mass spectrometry (MS) data to genomic regions.
Benefits: Experimental validation improves the accuracy of genome annotations, ensuring reliable gene model predictions.
Gene Model Integration of MS Data with Genomic Sequences
Practical Application: Automates the integration of MS data with genomic sequences to accelerate protein identification and functional annotation.
Benefits: Increases data processing efficiency and consistency, reducing manual errors and ensuring high-quality results.
Gene Expression Profiling
Practical Application: Quantifies protein expression levels across various experimental conditions, providing insights into gene activity.
Benefits: Enables tracking of protein abundance variations, which is essential for discovering biomarkers and understanding gene regulation.
Alternative Splicing & Isoform Detection
Practical Application: Identifies isoform variations and alternative splicing events, expanding knowledge of gene regulation.
Benefits: Supports research into gene complexity and functional diversity, helping to understand diseases linked to splicing.
Increased Protein Coverage
Practical Application: Identifies novel or previously missed proteins by analyzing peptide sequences from MS experiments.
Benefits: Expands the protein database, ensuring a more comprehensive proteome, and improving the accuracy of genomic annotations.
PostTranslational Modifications (PTMs) Detection
Practical Application: Detects and annotates post-translational modifications, offering insights into protein regulation and function.
Benefits: Enhances the understanding of protein roles and their regulatory functions within cellular processes.
Cross-Species Comparative Proteomics
Practical Application: Compares proteomic data across different species, identifying conserved proteins and functional elements.
Benefits: Aids in functional annotation across species, helping to study evolutionary biology and conserved biological processes.
Comprehensive Data Quality Control
Practical Application: Implements error detection tools to ensure accurate peptide-to-gene mapping and data integrity.
Benefits: Increases confidence in results by ensuring that proteomic data is accurate, reliable, and free from errors.