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Journal Abstract Search
362 related items for PubMed ID: 20628072
1. A dynamic wavelet-based algorithm for pre-processing tandem mass spectrometry data. Wang P, Yang P, Arthur J, Yang JY. Bioinformatics; 2010 Sep 15; 26(18):2242-9. PubMed ID: 20628072 [Abstract] [Full Text] [Related]
2. VEMS 3.0: algorithms and computational tools for tandem mass spectrometry based identification of post-translational modifications in proteins. Matthiesen R, Trelle MB, Højrup P, Bunkenborg J, Jensen ON. J Proteome Res; 2005 Sep 15; 4(6):2338-47. PubMed ID: 16335983 [Abstract] [Full Text] [Related]
3. Proteomic data analysis workflow for discovery of candidate biomarker peaks predictive of clinical outcome for patients with acute myeloid leukemia. Forshed J, Pernemalm M, Tan CS, Lindberg M, Kanter L, Pawitan Y, Lewensohn R, Stenke L, Lehtiö J. J Proteome Res; 2008 Jun 15; 7(6):2332-41. PubMed ID: 18452325 [Abstract] [Full Text] [Related]
4. Isotopic peak intensity ratio based algorithm for determination of isotopic clusters and monoisotopic masses of polypeptides from high-resolution mass spectrometric data. Park K, Yoon JY, Lee S, Paek E, Park H, Jung HJ, Lee SW. Anal Chem; 2008 Oct 01; 80(19):7294-303. PubMed ID: 18754627 [Abstract] [Full Text] [Related]
5. Algorithms and tools for analysis and management of mass spectrometry data. Veltri P. Brief Bioinform; 2008 Mar 01; 9(2):144-55. PubMed ID: 18356204 [Abstract] [Full Text] [Related]
6. Filtering strategies for improving protein identification in high-throughput MS/MS studies. Salmi J, Nyman TA, Nevalainen OS, Aittokallio T. Proteomics; 2009 Feb 01; 9(4):848-60. PubMed ID: 19160393 [Abstract] [Full Text] [Related]
7. Binomial probability distribution model-based protein identification algorithm for tandem mass spectrometry utilizing peak intensity information. Xiao CL, Chen XZ, Du YL, Sun X, Zhang G, He QY. J Proteome Res; 2013 Jan 04; 12(1):328-35. PubMed ID: 23163785 [Abstract] [Full Text] [Related]
8. i-RUBY: a novel software for quantitative analysis of highly accurate shotgun-proteomics liquid chromatography/tandem mass spectrometry data obtained without stable-isotope labeling of proteins. Wada K, Ogiwara A, Nagasaka K, Tanaka N, Komatsu Y. Rapid Commun Mass Spectrom; 2011 Apr 15; 25(7):960-8. PubMed ID: 21416533 [Abstract] [Full Text] [Related]
9. Highly accelerated feature detection in proteomics data sets using modern graphics processing units. Hussong R, Gregorius B, Tholey A, Hildebrandt A. Bioinformatics; 2009 Aug 01; 25(15):1937-43. PubMed ID: 19447788 [Abstract] [Full Text] [Related]
10. Fast tandem mass spectra-based protein identification regardless of the number of spectra or potential modifications examined. Falkner J, Andrews P. Bioinformatics; 2005 May 15; 21(10):2177-84. PubMed ID: 15746284 [Abstract] [Full Text] [Related]
11. Data pre-processing in liquid chromatography-mass spectrometry-based proteomics. Zhang X, Asara JM, Adamec J, Ouzzani M, Elmagarmid AK. Bioinformatics; 2005 Nov 01; 21(21):4054-9. PubMed ID: 16150809 [Abstract] [Full Text] [Related]
12. Improved peak detection in mass spectrum by incorporating continuous wavelet transform-based pattern matching. Du P, Kibbe WA, Lin SM. Bioinformatics; 2006 Sep 01; 22(17):2059-65. PubMed ID: 16820428 [Abstract] [Full Text] [Related]
13. A geometric approach for the alignment of liquid chromatography-mass spectrometry data. Lange E, Gröpl C, Schulz-Trieglaff O, Leinenbach A, Huber C, Reinert K. Bioinformatics; 2007 Jul 01; 23(13):i273-81. PubMed ID: 17646306 [Abstract] [Full Text] [Related]
14. An accurate and efficient algorithm for Peptide and ptm identification by tandem mass spectrometry. Ning K, Ng HK, Leong HW. Genome Inform; 2007 Jul 01; 19():119-30. PubMed ID: 18546510 [Abstract] [Full Text] [Related]
15. An algorithm for identifying multiply modified endogenous proteins using both full-scan and high-resolution tandem mass spectrometric data. Mazur MT, Fyhr R. Rapid Commun Mass Spectrom; 2011 Dec 15; 25(23):3617-26. PubMed ID: 22095511 [Abstract] [Full Text] [Related]
16. SwissPIT: An workflow-based platform for analyzing tandem-MS spectra using the Grid. Quandt A, Masselot A, Hernandez P, Hernandez C, Maffioletti S, Appel RD, Lisacek F. Proteomics; 2009 May 15; 9(10):2648-55. PubMed ID: 19391179 [Abstract] [Full Text] [Related]
17. MassWiz: a novel scoring algorithm with target-decoy based analysis pipeline for tandem mass spectrometry. Yadav AK, Kumar D, Dash D. J Proteome Res; 2011 May 06; 10(5):2154-60. PubMed ID: 21417338 [Abstract] [Full Text] [Related]
18. Intensity-based protein identification by machine learning from a library of tandem mass spectra. Elias JE, Gibbons FD, King OD, Roth FP, Gygi SP. Nat Biotechnol; 2004 Feb 06; 22(2):214-9. PubMed ID: 14730315 [Abstract] [Full Text] [Related]
19. Virtual expert mass spectrometrist: iTRAQ tool for database-dependent search, quantitation and result storage. Rodríguez-Suárez E, Gubb E, Alzueta IF, Falcón-Pérez JM, Amorim A, Elortza F, Matthiesen R. Proteomics; 2010 Apr 06; 10(8):1545-56. PubMed ID: 20140907 [Abstract] [Full Text] [Related]
20. MSNovo: a dynamic programming algorithm for de novo peptide sequencing via tandem mass spectrometry. Mo L, Dutta D, Wan Y, Chen T. Anal Chem; 2007 Jul 01; 79(13):4870-8. PubMed ID: 17550227 [Abstract] [Full Text] [Related] Page: [Next] [New Search]