Search Results - "Oehmen, Christopher S."

Inhibition of Dengue Virus Infections in Cell Cultures and in AG129 Mice by a Small Interfering RNA Targeting a Highly Conserved Sequence by Stein, David A, Perry, Stuart T, Buck, Michael D, Oehmen, Christopher S, Fischer, Matthew A, Poore, Elizabeth, Smith, Jessica L, Lancaster, Alissa M, Hirsch, Alec J, Slifka, Mark K, Nelson, Jay A, Shresta, Sujan, Früh, Klaus

“…Article Usage Stats Services JVI Citing Articles Google Scholar PubMed Related Content Social Bookmarking CiteULike Delicious Digg Facebook Google+ Mendeley…”
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Physicochemical property distributions for accurate and rapid pairwise protein homology detection by Webb-Robertson, Bobbie-Jo M, Ratuiste, Kyle G, Oehmen, Christopher S

“…The challenge of remote homology detection is that many evolutionarily related sequences have very little similarity at the amino acid level. Kernel-based…”
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ScalaBLAST 2.0: rapid and robust BLAST calculations on multiprocessor systems by Oehmen, Christopher S, Baxter, Douglas J

“…BLAST remains one of the most widely used tools in computational biology. The rate at which new sequence data is available continues to grow exponentially,…”
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Comparison of Probability and Likelihood Models for Peptide Identification from Tandem Mass Spectrometry Data by Cannon, William R, Jarman, Kristin H, Webb-Robertson, Bobbie-Jo M, Baxter, Douglas J, Oehmen, Christopher S, Jarman, Kenneth D, Heredia-Langner, Alejandro, Auberry, Kenneth J, Anderson, Gordon A

“…We evaluate statistical models used in two-hypothesis tests for identifying peptides from tandem mass spectrometry data. The null hypothesis H 0, that a…”
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A support vector machine model for the prediction of proteotypic peptides for accurate mass and time proteomics by Webb-Robertson, Bobbie-Jo M., Cannon, William R., Oehmen, Christopher S., Shah, Anuj R., Gurumoorthi, Vidhya, Lipton, Mary S., Waters, Katrina M.

“…Motivation: The standard approach to identifying peptides based on accurate mass and elution time (AMT) compares profiles obtained from a high resolution mass…”
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SVM-HUSTLE—an iterative semi-supervised machine learning approach for pairwise protein remote homology detection by Shah, Anuj R., Oehmen, Christopher S., Webb-Robertson, Bobbie-Jo

“…Motivation: As the amount of biological sequence data continues to grow exponentially we face the increasing challenge of assigning function to this enormous…”
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A support vector machine model for the prediction of proteotypic peptides for accurate mass and time proteomics by Webb-Robertson, Bobbie-Jo M., Cannon, William R., Oehmen, Christopher S., Shah, Anuj R., Gurumoorthi, Vidhya, Lipton, Mary S., Waters, Katrina M.

“…Motivation: The standard approach to identifying peptides based on accurate mass and elution time (AMT) compares profiles obtained from a high resolution mass…”
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A model of cyclic transcriptomic behavior in the cyanobacterium Cyanothece sp. ATCC 51142 by McDermott, Jason E, Oehmen, Christopher S, McCue, Lee Ann, Hill, Eric, Choi, Daniel M, Stöckel, Jana, Liberton, Michelle, Pakrasi, Himadri B, Sherman, Louis A

“…Systems biology attempts to reconcile large amounts of disparate data with existing knowledge to provide models of functioning biological systems. The…”
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A feature vector integration approach for a generalized support vector machine pairwise homology algorithm by Webb-Robertson, Bobbie-Jo M., Oehmen, Christopher S., Shah, Anuj R.

“…Due to the exponential growth of sequenced genomes, the need to quickly provide accurate annotation for existing and new sequences is paramount to facilitate…”
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PQuad—a visual analysis platform for proteomic data exploration of microbial organisms by Webb-Robertson, Bobbie-Jo M., Peterson, Elena S., Singhal, Mudita, Klicker, Kyle R., Oehmen, Christopher S., Adkins, Joshua N., Havre, Susan L.

“…The visual Platform for Proteomics Peptide and Protein data exploration (PQuad) is a multi-resolution environment that visually integrates genomic and…”
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Integrating subcellular location for improving machine learning models of remote homology detection in eukaryotic organisms by Shah, Anuj R., Oehmen, Christopher S., Harper, Jill, Webb-Robertson, Bobbie-Jo M.

“…A significant challenge in homology detection is to identify sequences that share a common evolutionary ancestor, despite significant primary sequence…”
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Advanced Computing is at the Forefront of a New "Moonshot" Revolutionizing the North American Power Grid by Oehmen, Christopher S., Peles, Slaven, Swirydowicz, Katarzyna, Petra, Cosmin G., Abhyankar, Shrirang G., Jones, Wesley, Reynolds, Matthew, Rutherford, Robert C.

“…In the 50-plus years since humans first landed on the moon, computing has grown at breakneck speed. We are faced with another challenge that is just as…”
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A Biosequence-Based Approach to Software Characterization by Oehmen, Christopher S., Peterson, Elena S., Phillips, Aaron R., Curtis, Darren S.

“…For many applications, it is desirable to have a process for recognizing when software binaries are closely related without relying on them to be identical or…”
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Computational Prediction of Type III and IV Secreted Effectors in Gram-Negative Bacteria by McDermott, Jason E, Corrigan, Abigail, Peterson, Elena, Oehmen, Christopher, Niemann, George, Cambronne, Eric D, Sharp, Danna, Adkins, Joshua N, Samudrala, Ram, Heffron, Fred

“…In this review, we provide an overview of the methods employed in four recent studies that described novel methods for computational prediction of secreted…”
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LINEBACKER: LINE-Speed Bio-Inspired Analysis and Characterization for Event Recognition by Oehmen, Christopher S., Bruillard, Paul J., Matzke, Brett D., Phillips, Aaron R., Star, Keith T., Jensen, Jeffrey L., Nordwall, Doug, Thompson, Seth, Peterson, Elena S.

“…The cyber world is a complex domain, with digital systems mediating a wide spectrum of human and machine behaviors. While this is enabling a revolution in the…”
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An efficient machine learning approach to low-complexity filtering in biological sequences by Barber, C. A., Oehmen, C. S.

“…Biological sequences contain low-complexity regions (LCRs) which produce superfluous matches in homology searches, and lead to slow execution of database…”
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Mathematical Model of the Rapidly Activating Delayed Rectifier Potassium Current IKr in Rabbit Sinoatrial Node by OEHMEN, CHRISTOPHER S., GILES, WAYNE R., DEMIR, SEMAHAT S.

“…Role of IKr in Rabbit Sinoatrial Node. Introduction: A rapidly activating delayed rectifier potassium current (IKr) is known to have an important role in…”
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High-throughput visual analytics biological sciences: turning data into knowledge by Oehmen, Christopher S, McCue, Lee Ann, Adkins, Joshua N., Waters, Katrina, Carlson, Tim, Cannon, William R., Webb-Robertson, Bobbie-Jo, Baxter, Douglas, Peterson, Elena, Singhal, Mudita, Shah, Anuj, Klicker, Kyle

“…For the SC|06 analytics challenge, we demonstrate an end-to-end solution for processing data produced by high-throughput mass spectrometry (MS)-based…”
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Mathematical model of the rapidly activating delayed rectifier potassium current I(Kr) in rabbit sinoatrial node by Oehmen, Christopher S, Giles, Wayne R, Demir, Semahat S

“…A rapidly activating delayed rectifier potassium current (I(Kr)) is known to have an important role in determining the properties of spontaneous pacing in…”
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Mathematical Model of the Rapidly Activating Delayed Rectifier Potassium Current I Kr in Rabbit Sinoatrial Node by OEHMEN, CHRISTOPHER S., GILES, WAYNE R., DEMIR, SEMAHAT S.

“…Role of I Kr in Rabbit Sinoatrial Node. Introduction: A rapidly activating delayed rectifier potassium current (I Kr ) is known to have an important role in…”
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