152 related articles for article (PubMed ID: 33902435)
1. Evaluation of open search methods based on theoretical mass spectra comparison.
Lysiak A; Fertin G; Jean G; Tessier D
BMC Bioinformatics; 2021 Apr; 22(Suppl 2):65. PubMed ID: 33902435
[TBL] [Abstract][Full Text] [Related]
2. Fast alignment of mass spectra in large proteomics datasets, capturing dissimilarities arising from multiple complex modifications of peptides.
Prunier G; Cherkaoui M; Lysiak A; Langella O; Blein-Nicolas M; Lollier V; Benoist E; Jean G; Fertin G; Rogniaux H; Tessier D
BMC Bioinformatics; 2023 Nov; 24(1):421. PubMed ID: 37940845
[TBL] [Abstract][Full Text] [Related]
3. Two-dimensional target decoy strategy for shotgun proteomics.
Bern MW; Kil YJ
J Proteome Res; 2011 Dec; 10(12):5296-301. PubMed ID: 22010998
[TBL] [Abstract][Full Text] [Related]
4. False discovery rate estimation using candidate peptides for each spectrum.
Lee S; Park H; Kim H
BMC Bioinformatics; 2022 Nov; 23(1):454. PubMed ID: 36319948
[TBL] [Abstract][Full Text] [Related]
5. An improved method for the construction of decoy peptide MS/MS spectra suitable for the accurate estimation of false discovery rates.
Ahrné E; Ohta Y; Nikitin F; Scherl A; Lisacek F; Müller M
Proteomics; 2011 Oct; 11(20):4085-95. PubMed ID: 21898822
[TBL] [Abstract][Full Text] [Related]
6. False Discovery Rate Estimation for Hybrid Mass Spectral Library Search Identifications in Bottom-up Proteomics.
Burke MC; Zhang Z; Mirokhin YA; Tchekovskoi DV; Liang Y; Stein SE
J Proteome Res; 2019 Sep; 18(9):3223-3234. PubMed ID: 31364354
[TBL] [Abstract][Full Text] [Related]
7. Common Decoy Distributions Simplify False Discovery Rate Estimation in Shotgun Proteomics.
Madej D; Wu L; Lam H
J Proteome Res; 2022 Feb; 21(2):339-348. PubMed ID: 34989576
[TBL] [Abstract][Full Text] [Related]
8. Fast Open Modification Spectral Library Searching through Approximate Nearest Neighbor Indexing.
Bittremieux W; Meysman P; Noble WS; Laukens K
J Proteome Res; 2018 Oct; 17(10):3463-3474. PubMed ID: 30184435
[TBL] [Abstract][Full Text] [Related]
9. MUMAL2: Improving sensitivity in shotgun proteomics using cost sensitive artificial neural networks and a threshold selector algorithm.
Cerqueira FR; Ricardo AM; de Paiva Oliveira A; Graber A; Baumgartner C
BMC Bioinformatics; 2016 Dec; 17(Suppl 18):472. PubMed ID: 28105913
[TBL] [Abstract][Full Text] [Related]
10. Crescendo: A Protein Sequence Database Search Engine for Tandem Mass Spectra.
Wang J; Zhang Y; Yu Y
J Am Soc Mass Spectrom; 2015 Jul; 26(7):1077-84. PubMed ID: 25895889
[TBL] [Abstract][Full Text] [Related]
11. A peptide-retrieval strategy enables significant improvement of quantitative performance without compromising confidence of identification.
Tu C; Shen S; Sheng Q; Shyr Y; Qu J
J Proteomics; 2017 Jan; 152():276-282. PubMed ID: 27903464
[TBL] [Abstract][Full Text] [Related]
12. SpecOMS: A Full Open Modification Search Method Performing All-to-All Spectra Comparisons within Minutes.
David M; Fertin G; Rogniaux H; Tessier D
J Proteome Res; 2017 Aug; 16(8):3030-3038. PubMed ID: 28660767
[TBL] [Abstract][Full Text] [Related]
13. Tandem Mass Spectrum Identification via Cascaded Search.
Kertesz-Farkas A; Keich U; Noble WS
J Proteome Res; 2015 Aug; 14(8):3027-38. PubMed ID: 26084232
[TBL] [Abstract][Full Text] [Related]
14. New mixture models for decoy-free false discovery rate estimation in mass spectrometry proteomics.
Peng Y; Jain S; Li YF; Greguš M; Ivanov AR; Vitek O; Radivojac P
Bioinformatics; 2020 Dec; 36(Suppl_2):i745-i753. PubMed ID: 33381824
[TBL] [Abstract][Full Text] [Related]
15. Search and decoy: the automatic identification of mass spectra.
Eisenacher M; Kohl M; Turewicz M; Koch MH; Uszkoreit J; Stephan C
Methods Mol Biol; 2012; 893():445-88. PubMed ID: 22665317
[TBL] [Abstract][Full Text] [Related]
16. Improved False Discovery Rate Estimation Procedure for Shotgun Proteomics.
Keich U; Kertesz-Farkas A; Noble WS
J Proteome Res; 2015 Aug; 14(8):3148-61. PubMed ID: 26152888
[TBL] [Abstract][Full Text] [Related]
17. False discovery rates in spectral identification.
Jeong K; Kim S; Bandeira N
BMC Bioinformatics; 2012; 13 Suppl 16(Suppl 16):S2. PubMed ID: 23176207
[TBL] [Abstract][Full Text] [Related]
18. In-depth analysis of protein inference algorithms using multiple search engines and well-defined metrics.
Audain E; Uszkoreit J; Sachsenberg T; Pfeuffer J; Liang X; Hermjakob H; Sanchez A; Eisenacher M; Reinert K; Tabb DL; Kohlbacher O; Perez-Riverol Y
J Proteomics; 2017 Jan; 150():170-182. PubMed ID: 27498275
[TBL] [Abstract][Full Text] [Related]
19. Integrated approach for manual evaluation of peptides identified by searching protein sequence databases with tandem mass spectra.
Chen Y; Kwon SW; Kim SC; Zhao Y
J Proteome Res; 2005; 4(3):998-1005. PubMed ID: 15952748
[TBL] [Abstract][Full Text] [Related]
20. Challenges in Peptide-Spectrum Matching: A Robust and Reproducible Statistical Framework for Removing Low-Accuracy, High-Scoring Hits.
Hubler SL; Kumar P; Mehta S; Easterly C; Johnson JE; Jagtap PD; Griffin TJ
J Proteome Res; 2020 Jan; 19(1):161-173. PubMed ID: 31793300
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
