Assessment and Comparison of Database Search Engines for Peptidomic Applications
Author:
Affiliation:
1. Beckman Institute of Advanced Science and Technology, University of Illinois at Urbana─Champaign, Urbana, Illinois 61801, United States
2. Department of Chemistry, University of Illinois at Urbana─Champaign, Urbana, Illinois 61801, United States
Funder
National Institute on Drug Abuse
Publisher
American Chemical Society (ACS)
Subject
General Chemistry,Biochemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.2c00307
Reference40 articles.
1. Mass Spectrometry Approaches Empowering Neuropeptide Discovery and Therapeutics
2. Peptidomics for the discovery and characterization of neuropeptides and hormones
3. Anatomy and evolution of database search engines—a central component of mass spectrometry based proteomic workflows
4. Tailoring to Search Engines: Bottom-Up Proteomics with Collision Energies Optimized for Identification Confidence
5. In-depth analysis of protein inference algorithms using multiple search engines and well-defined metrics
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