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- Freshtime:2026-05-13
- Search:PEAKS Studio 13 crack PEAKS Studio 13 download
Description
PEAKS Studio 13: Advanced Proteomics Software for DDA & DIA
PEAKS Studio 13 is the latest version of Bioinformatics Solutions Inc.'s flagship proteomics software, released in June 2025 . It features redesigned DDA and DIA workflows, unmatched DIA performance with SPIDER for novel peptide discovery, expanded quantification options, and a new Transition List Generator for targeted proteomics .
Key New Features in Version 13
Redesigned Workflows
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Streamlined DDA & DIA Workflows: Fully redesigned for smoother, more flexible user experience; choose where to end analysis or add steps later without starting over
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DIA Peptidome Workflow: Enhanced with GraphNovo deep learning sequencing algorithm and sequence variant analysis
Unmatched DIA Performance
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Faster Processing: CPU and GPU speeds significantly improved; analysis speed increased several times
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DIA SPIDER: Discover novel peptides and sequence variants across species, unlocking the "dark proteome" — peptides not in reference databases
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Full Result Transparency: New Feature tab displays all MS1 features associated with each peptide identification for interactive validation
Expanded Quantification
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Multiple Methods: Support for Top3 and MaxLFQ alongside labeled and label-free quantification
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Broader Application: PTM, SPIDER, and PRM quantification now supported
Targeted Proteomics Tools
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Transition List Generator: New tool to generate ion pair lists directly from PEAKS results or theoretical FASTA digest for targeted assays
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Enhanced PRM: Support for PRM PASEF, SILAC-labeled PRM, and timsTOF PRM data; new PRM protein annotation
DDA Enhancements
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Quantification Integration: PEAKS PTM and SPIDER identification results can now be used for quantitative analysis
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New Filter: "Found by" filter added to peptide lists
Additional Improvements
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Flexible FDR Control: Optional precursor FDR/score threshold application for result filtering
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Optimized Scoring: Improved protein and peptide scoring increases identification confidence