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| TIDD is a universal post-processing tool which supports confident peptide identifications regardless of the search engine adopted. TIDD can work for any (including newly developed) search engines because it calculates universal features that assess peptide-spectrum match quality while it allows additional features provided by search engines (or users) as well. |
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 Publication
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TIDD: tool-independent and data-dependent machine learning for peptide identification.
Honglan Li, Seungjin Na, Kyu-Baek Hwang, and Eunok Paek.
BMC Bioinformatics, 2022, 23(1), 1-12. [ PMID: 35354356 ] |
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