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Brett Trost

Showing results (1-10 of 90) with videos related to

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Bioinformatics (Oxford, England)|January 24, 2013
Computational phosphorylation site prediction in plants using random forests and organism-specific instance weightsBrett Trost, Anthony Kusalik
Bioinformatics (Oxford, England)|September 20, 2011
Computational prediction of eukaryotic phosphorylation sitesBrett Trost, Anthony Kusalik
BMC Microbiology|April 18, 2009
Statistical characterization of the GxxxG glycine repeats in the flagellar biosynthesis protein FliH and its Type III secretion homologue YscLBrett Trost, Stanley A Moore
Plos One|April 6, 2016
Computational Analysis of the Predicted Evolutionary Conservation of Human Phosphorylation SitesBrett Trost, Anthony Kusalik, Scott Napper
Plos One|August 15, 2018
Conservation of kinase-phosphorylation site pairings: Evidence for an evolutionarily dynamic phosphoproteomeMegan McDonald, Brett Trost, Scott Napper
Briefings in Bioinformatics|November 9, 2014
Case study: using sequence homology to identify putative phosphorylation sites in an evolutionarily distant species (honeybee)Brett Trost, Scott Napper, Anthony Kusalik
Immunome Research|March 27, 2007
Strength in numbers: achieving greater accuracy in MHC-I binding prediction by combining the results from multiple prediction toolsBrett Trost, Mik Bickis, Anthony Kusalik
Bioinformatics (Oxford, England)|March 10, 2015
EpIC: a rational pipeline for epitope immunogenicity characterizationKristen Marciniuk, Brett Trost, Scott Napper
Journal of the Royal Society, Interface|October 25, 2008
Rare peptide segments are found significantly more often in proto-oncoproteins than control proteins: implications for immunology and oncologyBrett Trost, Darja Kanduc, Anthony Kusalik
Plos One|May 5, 2012
Comparing the similarity of different groups of bacteria to the human proteomeBrett Trost, Rolando Pajon, Teenus Jayaprakash, et al.
Pageof 9

Showing results (1-10 of 90) with videos related to

Sort By:
Pageof 9
Bioinformatics (Oxford, England)|January 24, 2013
Computational phosphorylation site prediction in plants using random forests and organism-specific instance weightsBrett Trost, Anthony Kusalik
Bioinformatics (Oxford, England)|September 20, 2011
Computational prediction of eukaryotic phosphorylation sitesBrett Trost, Anthony Kusalik
BMC Microbiology|April 18, 2009
Statistical characterization of the GxxxG glycine repeats in the flagellar biosynthesis protein FliH and its Type III secretion homologue YscLBrett Trost, Stanley A Moore
Plos One|April 6, 2016
Computational Analysis of the Predicted Evolutionary Conservation of Human Phosphorylation SitesBrett Trost, Anthony Kusalik, Scott Napper
Plos One|August 15, 2018
Conservation of kinase-phosphorylation site pairings: Evidence for an evolutionarily dynamic phosphoproteomeMegan McDonald, Brett Trost, Scott Napper
Briefings in Bioinformatics|November 9, 2014
Case study: using sequence homology to identify putative phosphorylation sites in an evolutionarily distant species (honeybee)Brett Trost, Scott Napper, Anthony Kusalik
Immunome Research|March 27, 2007
Strength in numbers: achieving greater accuracy in MHC-I binding prediction by combining the results from multiple prediction toolsBrett Trost, Mik Bickis, Anthony Kusalik
Bioinformatics (Oxford, England)|March 10, 2015
EpIC: a rational pipeline for epitope immunogenicity characterizationKristen Marciniuk, Brett Trost, Scott Napper
Journal of the Royal Society, Interface|October 25, 2008
Rare peptide segments are found significantly more often in proto-oncoproteins than control proteins: implications for immunology and oncologyBrett Trost, Darja Kanduc, Anthony Kusalik
Plos One|May 5, 2012
Comparing the similarity of different groups of bacteria to the human proteomeBrett Trost, Rolando Pajon, Teenus Jayaprakash, et al.
Pageof 9