FineFDR: Fine-grained Taxonomy-specific False Discovery Rates Control in Metaproteomics
Author:
Affiliation:
1. University of North Texas,Department of Computer Science and Engineering,Denton,TX,United States,76207
2. University of Oklahoma,School of Computer Science,Department of Microbiology and Plant Biology,Norman,OK,United States,73019
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9994793/9994847/09995401.pdf?arnumber=9995401
Reference27 articles.
1. A survey of computational methods and error rate estimation procedures for peptide and protein identification in shotgun proteomics
2. False discovery rate: the Achilles’ heel of proteogenomics
3. Transferred Subgroup False Discovery Rate for Rare Post-translational Modifications Detected by Mass Spectrometry
4. PeptideShaker enables reanalysis of MS-derived proteomics data sets
5. MSFragger: ultrafast and comprehensive peptide identification in mass spectrometry–based proteomics
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Data-independent acquisition in metaproteomics;Expert Review of Proteomics;2024-08-02
2. SEMQuant: Extending Sipros-Ensemble with Match-Between-Runs for Comprehensive Quantitative Metaproteomics;Lecture Notes in Computer Science;2024
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