Published September 8, 2021
| Version Version 1
Journal article
Open
APIR: a universal FDR-control framework for boosting peptide identification power by aggregating multiple proteomics database search algorithms
- 1. Department of Statistics, University of California, Los Angeles, CA 90095
- 2. Department of Immuno-Oncology, Beckman Research Institute, City of Hope National Medical Center, Duarte CA 91010
- 3. Departments of Pediatrics and Immuno-Oncology, Beckman Research Institute, City of Hope National Medical Center, Duarte CA 91010
Description
The data folder includes all the processed database search results as well as the combining results from ConsensusID and Scaffold on the complex proteomics standard dataset generated from Pyrococcus furiosus.
The Rcode folder contains all the R code files for running APIR, analyzing results, and generate figures.