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Jeffrey Whiteaker

Showing results (1-10 of 5) with videos related to

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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 11, 2006
Normalization regarding non-random missing values in high-throughput mass spectrometry dataPei Wang, Hua Tang, Heidi Zhang, et al.
Molecular & Cellular Proteomics : MCP|November 5, 2005
Signal maps for mass spectrometry-based comparative proteomicsAmol Prakash, Parag Mallick, Jeffrey Whiteaker, et al.
Bioinformatics (Oxford, England)|June 13, 2006
A suite of algorithms for the comprehensive analysis of complex protein mixtures using high-resolution LC-MSMatthew Bellew, Marc Coram, Matthew Fitzgibbon, et al.
Journal of Proteome Research|July 11, 2006
Quality control metrics for LC-MS feature detection tools demonstrated on Saccharomyces cerevisiae proteomic profilesBrian D Piening, Pei Wang, Chaitanya S Bangur, et al.
Journal of Proteome Research|January 7, 2006
Computational Proteomics Analysis System (CPAS): an extensible, open-source analytic system for evaluating and publishing proteomic data and high throughput biological experimentsAdam Rauch, Matthew Bellew, Jimmy Eng, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 11, 2006
Normalization regarding non-random missing values in high-throughput mass spectrometry dataPei Wang, Hua Tang, Heidi Zhang, et al.
Molecular & Cellular Proteomics : MCP|November 5, 2005
Signal maps for mass spectrometry-based comparative proteomicsAmol Prakash, Parag Mallick, Jeffrey Whiteaker, et al.
Bioinformatics (Oxford, England)|June 13, 2006
A suite of algorithms for the comprehensive analysis of complex protein mixtures using high-resolution LC-MSMatthew Bellew, Marc Coram, Matthew Fitzgibbon, et al.
Journal of Proteome Research|July 11, 2006
Quality control metrics for LC-MS feature detection tools demonstrated on Saccharomyces cerevisiae proteomic profilesBrian D Piening, Pei Wang, Chaitanya S Bangur, et al.
Journal of Proteome Research|January 7, 2006
Computational Proteomics Analysis System (CPAS): an extensible, open-source analytic system for evaluating and publishing proteomic data and high throughput biological experimentsAdam Rauch, Matthew Bellew, Jimmy Eng, et al.
Pageof 1