These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
9. MSBooster: improving peptide identification rates using deep learning-based features. Yang KL; Yu F; Teo GC; Li K; Demichev V; Ralser M; Nesvizhskii AI Nat Commun; 2023 Jul; 14(1):4539. PubMed ID: 37500632 [TBL] [Abstract][Full Text] [Related]
10. Fragment ion intensity prediction improves the identification rate of non-tryptic peptides in timsTOF. Adams C; Gabriel W; Laukens K; Picciani M; Wilhelm M; Bittremieux W; Boonen K Nat Commun; 2024 May; 15(1):3956. PubMed ID: 38730277 [TBL] [Abstract][Full Text] [Related]
11. Improving MHC-I Ligand Identifications from LC-MS/MS Data by Incorporating Allelic Peptide Motifs. Konda P; Murphy JP; Gujar S Proteomics; 2019 Mar; 19(5):e1800458. PubMed ID: 30710433 [TBL] [Abstract][Full Text] [Related]
12. Rescoring Peptide Spectrum Matches: Boosting Proteomics Performance by Integrating Peptide Property Predictors Into Peptide Identification. Kalhor M; Lapin J; Picciani M; Wilhelm M Mol Cell Proteomics; 2024 Jun; 23(7):100798. PubMed ID: 38871251 [TBL] [Abstract][Full Text] [Related]
13. Deep Learning-Assisted Analysis of Immunopeptidomics Data. Gabriel W; Picciani M; The M; Wilhelm M Methods Mol Biol; 2024; 2758():457-483. PubMed ID: 38549030 [TBL] [Abstract][Full Text] [Related]
15. Enhanced peptide identification by electron transfer dissociation using an improved Mascot Percolator. Wright JC; Collins MO; Yu L; Käll L; Brosch M; Choudhary JS Mol Cell Proteomics; 2012 Aug; 11(8):478-91. PubMed ID: 22493177 [TBL] [Abstract][Full Text] [Related]
16. Improving X!Tandem on peptide identification from mass spectrometry by self-boosted Percolator. Yang P; Ma J; Wang P; Zhu Y; Zhou BB; Yang YH IEEE/ACM Trans Comput Biol Bioinform; 2012; 9(5):1273-80. PubMed ID: 22689082 [TBL] [Abstract][Full Text] [Related]
17. MS-Rescue: A Computational Pipeline to Increase the Quality and Yield of Immunopeptidomics Experiments. Andreatta M; Nicastri A; Peng X; Hancock G; Dorrell L; Ternette N; Nielsen M Proteomics; 2019 Feb; 19(4):e1800357. PubMed ID: 30578603 [TBL] [Abstract][Full Text] [Related]
18. TIDD: tool-independent and data-dependent machine learning for peptide identification. Li H; Na S; Hwang KB; Paek E BMC Bioinformatics; 2022 Mar; 23(1):109. PubMed ID: 35354356 [TBL] [Abstract][Full Text] [Related]
19. Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics. Wilhelm M; Zolg DP; Graber M; Gessulat S; Schmidt T; Schnatbaum K; Schwencke-Westphal C; Seifert P; de Andrade Krätzig N; Zerweck J; Knaute T; Bräunlein E; Samaras P; Lautenbacher L; Klaeger S; Wenschuh H; Rad R; Delanghe B; Huhmer A; Carr SA; Clauser KR; Krackhardt AM; Reimer U; Kuster B Nat Commun; 2021 Jun; 12(1):3346. PubMed ID: 34099720 [TBL] [Abstract][Full Text] [Related]
20. Accurate and sensitive peptide identification with Mascot Percolator. Brosch M; Yu L; Hubbard T; Choudhary J J Proteome Res; 2009 Jun; 8(6):3176-81. PubMed ID: 19338334 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]