DanteR: An extensible R-based tool for quantitative analysis of -omics data

Bioinformatics

Volumn 28, Issue 18, 2012, Pages 2404-2406

  Taverner, Tom ^a   Karpievitch, Yuliya V ^a,b   Polpitiya, Ashoka D ^c   Brown, Joseph N ^a   Dabney, Alan R ^d   Anderson, Gordon A ^a   Smith, Richard D ^a  

^a PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

^b UNIVERSITY OF TASMANIA   (Australia)

^c TRANSLATIONAL GENOMICS RESEARCH INSTITUTE   (United States)

^d TEXAS A AND M UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PROTEIN;

ALGORITHM; ARTICLE; COMPUTER PROGRAM; MASS SPECTROMETRY; METABOLISM; METHODOLOGY; PROTEOMICS; STATISTICAL ANALYSIS;

ALGORITHMS; DATA INTERPRETATION, STATISTICAL; MASS SPECTROMETRY; PROTEINS; PROTEOMICS; SOFTWARE;

EID: 84866459077     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/bts449     Document Type: Article

References (7)

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3. Karpievitch,Y.V. et al. (2009b) Normalization of peak intensities in bottom-up MS-based proteomics using singular value decomposition. Bioinformatics, 25, 2573-2580.
4. Nesvizhskii,A.I. (2010) A survey of computational methods and error rate estimation procedures for peptide and protein identification in shotgun proteomics. J. Proteomics, 73, 2092-2123.
5. Polpitiya,A.D. et al. (2008) DAnTE: a statistical tool for quantitative analysis of -omics data. Bioinformatics, 24, 1556-1558.
6. Rigbolt,K.T. et al. (2011) Mol Cell Proteomics 10(8).
7. Troyanskaya,O. et al. (2001) Missing value estimation methods for DNA microarrays. Bioinformatics, 17, 520-525.