PEAKS® Studio 11 is the next generation of the Studio platform and features a completely redesigned architecture to provide increased speed and stability. With the updated Graphical User Interface, users still get the intuitive data visualisation that PEAKS is known for but with a new look and optimised workflows to streamline your data analysis. From DDA to DIA data support, PEAKS Studio 11 provides a complete solution to bring your research to new heights!
PEAKS 11 uses the latest PEAKS algorithm for all analyses, including data loading/refinement, identification and quantification. New to PEAKS Studio 11 users have the option to use Deep learning-boosted ID workflows for DDA analysis to increase of identification rate over 10%.
Feature-based identification workflow to increase sensitivity and maximise peptide identification efficiency.
Designed for DDA technology to improve reproducibility.
Integrate database search and de novo sequencing to extend in-depth analysis.
Activate Deep learning-boost in PEAKS DDA workflows to maximise peptide ID efficiency.
Learn more about the advantages de novo sequencing brings to your research.
Streamlined Workflow with Direct Database search for DIA
DIA analysis is an appealing alternative to DDA workflows. In the past, DIA methods have relied on generating spectral libraries from DDA to identify and quantify peptides. PEAKS Studio 11 offers a unique DIA workflow to maximise identification of peptides by integrating three methods: spectral library search, direct database search, and de novo sequencing.
A library search is performed against a predefined spectral library. Peptide spectra without a library match can be directly searched against a protein database.
A protein sequence database is directly searched with DIA data. Advanced machine learning algorithms allow improved accuracy and sensitivity of peptide identification. During this step of the pipeline, PEAKS 11 DIA workflow now supports the identification of any PTMs specified by the user. This will enable an increase in identification of modified peptides without requiring their entries in a spectral library.
Unmatched spectra from the database search are de novo sequenced.
Identified peptides from both the spectrum library search and protein sequence database search can be used in a quantification analysis.
