Abstract
Target–decoy competition has been commonly used for over a decade to control the false discovery rate when analyzing tandem mass spectrometry (MS/MS) data. We recently developed a framework that uses multiple decoys to increase the number of detected peptides in MS/MS data. Here, we present a pipeline of Apache licensed, open-source software that allows the user to readily take advantage of our framework.
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Hasam, S., Emery, K., Noble, W.S., Keich, U. (2023). A Pipeline for Peptide Detection Using Multiple Decoys. In: Burger, T. (eds) Statistical Analysis of Proteomic Data. Methods in Molecular Biology, vol 2426. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1967-4_2
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DOI: https://doi.org/10.1007/978-1-0716-1967-4_2
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