Výsledky vyhledávání - "Lyman, Cole A."

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Whole Genome Phylogenetic Tree Reconstruction Using Colored de Bruijn Graphs

Autor: Lyman, Cole A., Fujimoto, M. Stanley, Suvorov, Anton, Bodily, Paul M., Snell, Quinn, Crandall, Keith A., Bybee, Seth M., Clement, Mark J.

We present kleuren, a novel assembly-free method to reconstruct phylogenetic trees using the Colored de Bruijn Graph. kleuren works by constructing the Colored de Bruijn Graph and then traversing it, finding bubble structures in the graph that provid

Externí odkaz: http://arxiv.org/abs/1709.00164

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Akademický článek

Old drugs, new tricks: leveraging known compounds to disrupt coronavirus-induced cytokine storm.

Autor: Richman, Spencer¹ (AUTHOR), Lyman, Cole¹ (AUTHOR), Nesterova, Anastasia² (AUTHOR), Yuryev, Anton² (AUTHOR), Morris, Matthew¹ (AUTHOR), Cao, Hongbao² (AUTHOR), Cheadle, Chris² (AUTHOR), Skuse, Gary³ (AUTHOR), Broderick, Gordon¹ (AUTHOR) gordon.broderick@rochesterregional.org

Publikováno v: NPJ Systems Biology & Applications. 10/10/2022, Vol. 8 Issue 1, p1-14. 14p.

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Network Modeling of Complex Time-Dependent Changes in Patient Adherence to Adjuvant Endocrine Treatment in ER+ Breast Cancer.

Autor: Shinn, Eileen H., Busch, Brooke E., Jasemi, Neda, Lyman, Cole A., Toole, J. Tory, Richman, Spencer C., Symmans, William Fraser, Chavez-MacGregor, Mariana, Peterson, Susan K., Broderick, Gordon

Publikováno v: Frontiers in Psychology; 7/12/2022, Vol. 13, p1-13, 13p

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The Polygraph: A Data Structure for Genome Alignment and Variation Detection

Autor: Fujimoto, M. Stanley, Lyman, Cole, Clement, Mark

Publikováno v: Utah Space Grant Consortium

Comparing whole genomes and finding variation is an important and difficult bioinformatic task. We present the Polygraph, a data structure for reference- free, multiple whole genome alignment that can be used to identify genomic structural variation.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1459::e98e6232837401bbc1743d89b5579a94
https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=1572&context=spacegrant

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Phylogenetic Tree Representation In N-Dimensional Space

Autor: Lyman, Cole

A brief idea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0337a6daf60a38463509e13842588fd3

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Utilizing Graphical Processing for Genome Mapping

Autor: Lyman, Cole

A presentation for the Brigham Young University Student Research Conference presented on March 19, 2016.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a2d4c06abdee1f0419a397ded883650

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GO-Deep: novel gene annotation prediction using deep neural networks

Autor: Lyman, Cole

A presentation at the Brigham Young University Student Research Conference on March 4, 2017.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::483d3e7e54ca64543e12368df141ebb3

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Learning the Language of Genes: Representing Global Codon Bias with Deep Language Models

Autor: Fujimoto, M. Stanley, Bodily, Paul M., Lyman, Cole A., Jacobsen, J. Andrew, Clement, Mark J.

Publikováno v: Utah Space Grant Consortium

Codon bias, the usage patterns of synonymous codons for encoding a protein sequence as nucleotides, is a biological phenomenon that is not well understood. Current methods that measure and model the codon bias of an organism exist for usage in codon

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1459::6533f9106f68173b975f5333f1c22030
http://digitalcommons.usu.edu/spacegrant/2017/Session2/4

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