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Full-Text Articles in Life Sciences
Convolutional Neural Network-Based Gene Prediction Using Buffalograss As A Model System, Michael Morikone
Convolutional Neural Network-Based Gene Prediction Using Buffalograss As A Model System, Michael Morikone
Complex Biosystems PhD Program: Dissertations
The task of gene prediction has been largely stagnant in algorithmic improvements compared to when algorithms were first developed for predicting genes thirty years ago. Rather than iteratively improving the underlying algorithms in gene prediction tools by utilizing better performing models, most current approaches update existing tools through incorporating increasing amounts of extrinsic data to improve gene prediction performance. The traditional method of predicting genes is done using Hidden Markov Models (HMMs). These HMMs are constrained by having strict assumptions made about the independence of genes that do not always hold true. To address this, a Convolutional Neural Network (CNN) …
Motif-Cluster: A Spatial Clustering Package For Repetitive Motif Binding Patterns, Mengyuan Zhou
Motif-Cluster: A Spatial Clustering Package For Repetitive Motif Binding Patterns, Mengyuan Zhou
Department of Computer Science and Engineering: Dissertations, Theses, and Student Research
Previous efforts in using genome-wide analysis of transcription factor binding sites (TFBSs) have overlooked the importance of ranking potential significant regulatory regions, especially those with repetitive binding within a local region. Identifying these homogenous binding sites is critical because they have the potential to amplify the binding affinity and regulation activity of transcription factors, impacting gene expression and cellular functions. To address this issue, we developed an open-source tool Motif-Cluster that prioritizes and visualizes transcription factor regulatory regions by incorporating the idea of local motif clusters. Motif-Cluster can rank the significant transcription factor regulatory regions without the need for experimental …
Genomic Insights Into The Mystery Of Mouse Mummies On The Summits Of Atacama Volcanoes, Jay F. Storz, Schuyler Liphardt, Marcial Quiroga-Carmona, Naim M. Bautista, Juan C. Opazo, Guillermo D’Elía, Jeffrey M. Good
Genomic Insights Into The Mystery Of Mouse Mummies On The Summits Of Atacama Volcanoes, Jay F. Storz, Schuyler Liphardt, Marcial Quiroga-Carmona, Naim M. Bautista, Juan C. Opazo, Guillermo D’Elía, Jeffrey M. Good
Jay F. Storz Publications
Our understanding of the limits of animal life is continually revised by scientific exploration of extreme environments. Here we report the discovery of mummified cadavers of leaf-eared mice, Phyllotis vaccarum, from the summits of three different Andean volcanoes at elevations 6,029–6,233 m above sea level in the Puna de Atacama in Chile and Argentina. Such extreme elevations were previously assumed to be completely uninhabitable by mammals. In combination with a live-captured specimen of the same species from the nearby summit of Volcán Llullaillaco (6,739 m),1 the summit mummies represent the highest altitude physical records of mammals in the …
A Review Of How Bioinformatics And Genome Sequencing Are Affecting Precision Medicine, Taylor S. Hickey
A Review Of How Bioinformatics And Genome Sequencing Are Affecting Precision Medicine, Taylor S. Hickey
Honors Theses
Advancement in genomic sequencing and bioinformatics methods have been affecting biomedical research through precision medicine, especially in the area of cancer. Vaccine therapies can be developed using neoantigens that target specific mutations in tumors. The goals of this research are to identify mutations that lead to cancer and then define subpopulations in which patients can easily be identified. The future goal is to have targeted vaccines that are specific to each subpopulation ready to be used in treatment of their cancer. Limitations to reaching these goals have been due to tumor heterogeneity, cancer location, and difficulty in creating neoantigens for …
Additional Taxonomic Refinements Suggested By Genomic Analysis Of Butterflies, Jing Zhang, Qian Cong, Jinhui Shen, Leina Song, Paul A. Opler, Nick V. Grishin
Additional Taxonomic Refinements Suggested By Genomic Analysis Of Butterflies, Jing Zhang, Qian Cong, Jinhui Shen, Leina Song, Paul A. Opler, Nick V. Grishin
The Taxonomic Report of the International Lepidoptera Survey
Comparative analyses of genomic data reveal further insights into the phylogeny and taxonomic classification of butterflies presented here. As a result, 2 new subgenera and 2 new species of Hesperiidae are described: Borna Grishin, subgen. n. (type species Godmania borincona Watson, 1937) and Lilla Grishin, subgen. n. (type species Choranthus lilliae Bell, 1931) of Choranthus Scudder, 1872, Cecropterus (Murgaria) markwalkeri Grishin, sp. n. (type locality in Mexico: Sonora), and Hedone yunga Grishin, sp. n. (type locality in Bolivia: Yungas, La Paz). The lectotype is designated for Aethilla toxeus Plötz, 1882. The type locality of Dion uza (Hewitson, 1877) is likely …