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Anthony Kusalik

Showing results (1-10 of 72) with videos related to

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Briefings in Functional Genomics|May 1, 2020
Computational methods for predicting 3D genomic organization from high-resolution chromosome conformation capture dataKimberly MacKay, Anthony Kusalik
Bioinformatics (Oxford, England)|January 24, 2013
Computational phosphorylation site prediction in plants using random forests and organism-specific instance weightsBrett Trost, Anthony Kusalik
Microarrays (Basel, Switzerland)|September 8, 2016
A Synthetic Kinome Microarray Data GeneratorFarhad Maleki, Anthony Kusalik
Bioinformatics (Oxford, England)|September 20, 2011
Computational prediction of eukaryotic phosphorylation sitesBrett Trost, 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
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|April 6, 2016
Computational Analysis of the Predicted Evolutionary Conservation of Human Phosphorylation SitesBrett Trost, Anthony Kusalik, 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
BMC Research Notes|July 1, 2018
GrapHi-C: graph-based visualization of Hi-C datasetsKimberly MacKay, Anthony Kusalik, Christopher H Eskiw
Self/Nonself|May 12, 2011
Bacterial peptides are intensively present throughout the human proteomeBrett Trost, Anthony Kusalik, Guglielmo Lucchese, et al.
Pageof 8

Showing results (1-10 of 72) with videos related to

Sort By:
Pageof 8
Briefings in Functional Genomics|May 1, 2020
Computational methods for predicting 3D genomic organization from high-resolution chromosome conformation capture dataKimberly MacKay, Anthony Kusalik
Bioinformatics (Oxford, England)|January 24, 2013
Computational phosphorylation site prediction in plants using random forests and organism-specific instance weightsBrett Trost, Anthony Kusalik
Microarrays (Basel, Switzerland)|September 8, 2016
A Synthetic Kinome Microarray Data GeneratorFarhad Maleki, Anthony Kusalik
Bioinformatics (Oxford, England)|September 20, 2011
Computational prediction of eukaryotic phosphorylation sitesBrett Trost, 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
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|April 6, 2016
Computational Analysis of the Predicted Evolutionary Conservation of Human Phosphorylation SitesBrett Trost, Anthony Kusalik, 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
BMC Research Notes|July 1, 2018
GrapHi-C: graph-based visualization of Hi-C datasetsKimberly MacKay, Anthony Kusalik, Christopher H Eskiw
Self/Nonself|May 12, 2011
Bacterial peptides are intensively present throughout the human proteomeBrett Trost, Anthony Kusalik, Guglielmo Lucchese, et al.
Pageof 8