Pioneer and Altimeter: Fast Analysis of DIA Proteomics Data Optimized for Narrow Isolation Windows
Nathan T. WamsleyiD, Emily WilkersoniD, Michael B. MajoriD, Dennis GoldfarbiD
Abstract
Advances in protein mass spectrometry have enabled a single instrument to acquire data for hundreds of samples per day, but the speed of analysis software has not kept pace. Here we introduce Pioneer and Altimeter for rapid analysis of proteomics data acquired by data-independent acquisition (DIA). Altimeter generates in silico spectral libraries, which Pioneer uses to identify and quantify peptides and proteins. Pioneer exceeds peptide coverage by up to 10%, improves quantitative accuracy, and runs four to eight times faster compared with state-of-the-art tools. Pioneer and Altimeter also model isolation-window effects on fragment isotopes to take advantage of narrow isolation windows deployed on fast-scanning time-of-flight instruments. We benchmarked Pioneer and validated its false-discovery-rate and false-transfer-rate control across diverse instruments, sample types, and acquisition settings. Altimeter and Pioneer are open source and cross-platform, with a graphical interface for streamlined analysis on personal computers and a command-line interface for compute-cluster workflows.
02 /Specification & Classification
Click any tag to browse matching papersReproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Narrow-window DIA: Ultra-fast quantitative analysis of comprehensive proteomes with high sequencing depth
Ulises H. Guzmán, Ana Martínez‐Val, … Jesper Velgaard Olsen·bioRxiv·Jun 2, 2023
- DIAproteomics: A multi-functional data analysis pipeline for data-independent-acquisition proteomics and peptidomics
Leon Bichmann, Shubham Gupta, … Hannes Luc Röst·bioRxiv·Dec 8, 2020
- High-Speed Mass Spectrometers diminish the difference between Data-Dependent and Data-Independent Acquisition Proteomics
Naomi O'Sullivan, Florian P Bayer, … Bernhard Küster·bioRxiv·May 28, 2026
- Comparison of TIMS-PASEF quantitative proteomics data-analysis workflows using FragPipe, DIA-NN, and Spectronaut from a user's perspective
Alejandro Fernández-Vega, Federica Farabegoli, … Ignacio Ortea·bioRxiv·Nov 29, 2021
- Extensive and accurate benchmarking of DIA acquisition methods and software tools using a complex proteomic standard
Clarisse Gotti, Florence Roux‐Dalvai, … Arnaud Droit·Journal of Proteome ResearchPeer-reviewed·Sep 2, 2021
- Recommendations for Quantitative Data-Independent Acquisition (DIA) Proteomics using Controlled Quantitative Experiments (CQEs)
Andrew Michael Frey, Frances R. Sidgwick, … Matthias Trost·bioRxiv·Sep 22, 2025