Published March 23, 2022
| Version v1.0.0
Dataset
Open
Source data to publication "Benchmarking of Analysis Strategies for Data-Independent Acquisition Proteomics Using a Large-Scale Dataset Comprising Inter-Patient Heterogeneity"
Authors/Creators
- 1. Institute of Medical Biometry and Statistics, Medical Center-University of Freiburg, Germany
- 2. Institute for Surgical Pathology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
Contributors
- 1. Institute for Surgical Pathology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
- 2. Institute of Medical Biometry and Statistics, Medical Center-University of Freiburg, Germany
- 3. Epidemiology, Biostatistics & Prevention Institute, University of Zurich, Switzerland
- 4. Proteomics Core Facility, Biozentrum, University of Basel, Switzerland
- 5. Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, and Swiss Institute of Bioinformatics (SIB), Switzerland
Description
Source data to publication "Benchmarking of Analysis Strategies for Data-Independent Acquisition Proteomics Using a Large-Scale Dataset Comprising Inter-Patient Heterogeneity".
Data and further information at GitHub repository https://github.com/kreutz-lab/dia-benchmarking (DOI: 10.5281/zenodo.6371925)