Publications by authors named "Christopher Oehmen"

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Defending Our Public Biological Databases as a Global Critical Infrastructure.
Jacob Caswell, Jason D Gans, Nicholas Generous, Corey M Hudson, Eric Merkley, Christopher Oehmen

Front Bioeng Biotechnol· April 2019

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ScalaBLAST 2.0: rapid and robust BLAST calculations on multiprocessor systems.
Christopher S Oehmen, Douglas J Baxter

Bioinformatics· March 2013

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Inhibition of dengue virus infections in cell cultures and in AG129 mice by a small interfering RNA targeting a highly conserved sequence.
David A Stein, Stuart T Perry, Michael D Buck, Christopher S Oehmen, Matthew A Fischer

J Virol· October 2011

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A model of cyclic transcriptomic behavior in the cyanobacterium Cyanothece sp. ATCC 51142.
Jason E McDermott, Christopher S Oehmen, Lee Ann McCue, Eric Hill, Daniel M Choi

Mol Biosyst· August 2011

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Computational prediction of type III and IV secreted effectors in gram-negative bacteria.
Jason E McDermott, Abigail Corrigan, Elena Peterson, Christopher Oehmen, George Niemann

Infect Immun· January 2011

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A support vector machine model for the prediction of proteotypic peptides for accurate mass and time proteomics.
Bobbie-Jo M Webb-Robertson, William R Cannon, Christopher S Oehmen, Anuj R Shah, Vidhya Gurumoorthi

Bioinformatics· July 2010

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Physicochemical property distributions for accurate and rapid pairwise protein homology detection.
Bobbie-Jo M Webb-Robertson, Kyle G Ratuiste, Christopher S Oehmen

BMC Bioinformatics· March 2010

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A feature vector integration approach for a generalized support vector machine pairwise homology algorithm.
Bobbie-Jo M Webb-Robertson, Christopher S Oehmen, Anuj R Shah

Comput Biol Chem· December 2008

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A support vector machine model for the prediction of proteotypic peptides for accurate mass and time proteomics.
Bobbie-Jo M Webb-Robertson, William R Cannon, Christopher S Oehmen, Anuj R Shah, Vidhya Gurumoorthi

Bioinformatics· July 2008

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SVM-HUSTLE--an iterative semi-supervised machine learning approach for pairwise protein remote homology detection.
Anuj R Shah, Christopher S Oehmen, Bobbie-Jo Webb-Robertson

Bioinformatics· March 2008

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PQuad--a visual analysis platform for proteomic data exploration of microbial organisms.
Bobbie-Jo M Webb-Robertson, Elena S Peterson, Mudita Singhal, Kyle R Klicker, Christopher S Oehmen

Bioinformatics· July 2007

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Integrating subcellular location for improving machine learning models of remote homology detection in eukaryotic organisms.
Anuj R Shah, Christopher S Oehmen, Jill Harper, Bobbie-Jo M Webb-Robertson

Comput Biol Chem· April 2007

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Comparison of probability and likelihood models for peptide identification from tandem mass spectrometry data.
William R Cannon, Kristin H Jarman, Bobbie-Jo M Webb-Robertson, Douglas J Baxter, Christopher S Oehmen

J Proteome Res· January 2006

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SVM-BALSA: remote homology detection based on Bayesian sequence alignment.
Bobbie-Jo Webb-Robertson, Christopher Oehmen, Melissa Matzke

Comput Biol Chem· December 2005

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Mathematical model of the rapidly activating delayed rectifier potassium current I(Kr) in rabbit sinoatrial node.
Christopher S Oehmen, Wayne R Giles, Semahat S Demir

J Cardiovasc Electrophysiol· November 2002

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