Analyzing marginal cases in differential shotgun proteomics

Bioinformatics

Volumn 27, Issue 2, 2011, Pages 275-276

  Carvalho, Paulo C ^a   Fischer, Juliana S G ^a   Perales, Jonas ^a   Yates, John R ^b   Barbosa, Valmir C ^c   Bareinboim, Elias ^d  

^a INSTITUTO OSWALDO CRUZ   (Brazil)

^b SCRIPPS RESEARCH INSTITUTE   (United States)

^c FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^d Department of Civil and Environmental Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PROTEIN;

ARTICLE; BAYES THEOREM; COMPUTER PROGRAM; METABOLISM; METHODOLOGY; PROTEOMICS;

BAYES THEOREM; PROTEINS; PROTEOMICS; SOFTWARE;

EID: 78651418570     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btq632     Document Type: Article

References (5)

1. Carvalho,P.C. et al. (2008) PatternLab for proteomics: a tool for differential shotgun proteomics. BMC Bioinformatics, 9, 316.
2. Carvalho,P.C. et al. (2010) Analyzing shotgun proteomic data with PatternLab for proteomics. Curr. Protoc. Bioinformatics, Chapter 13, Unit 15.
3. Fischer,J.S. et al. (2010) Dynamic proteomic overview of glioblastoma cells (A172) exposed to perillyl alcohol. J. Proteomics, 73, 1018-1027.
4. Liu,H. et al. (2004) A model for random sampling and estimation of relative protein abundance in shotgun proteomics. Anal. Chem., 76, 4193-4201.
5. Washburn,M.P. et al. (2001) Large-scale analysis of the yeast proteome by multidimensional protein identification technology. Nat. Biotechnol., 19, 242-247.