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You searched for +publisher:"Virginia Tech" +contributor:("Zhang, Liqing"). Showing records 1 – 30 of 45 total matches.

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Virginia Tech

1. Chaabene, Walid. Scalable Structure Learning of Graphical Models.

Degree: MS, Computer Science and Applications, 2017, Virginia Tech

 Hypothesis-free learning is increasingly popular given the large amounts of data becoming available. Structure learning, a hypothesis-free approach, of graphical models is a field of… (more)

Subjects/Keywords: L1-based Structure Learning; Linear Dynamical Systems; Markov Random Fields

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APA (6th Edition):

Chaabene, W. (2017). Scalable Structure Learning of Graphical Models. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/86263

Chicago Manual of Style (16th Edition):

Chaabene, Walid. “Scalable Structure Learning of Graphical Models.” 2017. Masters Thesis, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/86263.

MLA Handbook (7th Edition):

Chaabene, Walid. “Scalable Structure Learning of Graphical Models.” 2017. Web. 12 Apr 2021.

Vancouver:

Chaabene W. Scalable Structure Learning of Graphical Models. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/86263.

Council of Science Editors:

Chaabene W. Scalable Structure Learning of Graphical Models. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/86263


Virginia Tech

2. Yao, Zhennan. VTQuestAR: An Augmented Reality Mobile Software Application for Virginia Tech Campus Visitors.

Degree: MS, Computer Science and Applications, 2021, Virginia Tech

 The main campus of Virginia Polytechnic Institute and State University (Virginia Tech) has more than 120 buildings. The campus visitors face problems recognizing a building,… (more)

Subjects/Keywords: Augmented reality; Core Data database; image recognition; iPhone / iPad software application; machine learning

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APA (6th Edition):

Yao, Z. (2021). VTQuestAR: An Augmented Reality Mobile Software Application for Virginia Tech Campus Visitors. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/101790

Chicago Manual of Style (16th Edition):

Yao, Zhennan. “VTQuestAR: An Augmented Reality Mobile Software Application for Virginia Tech Campus Visitors.” 2021. Masters Thesis, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/101790.

MLA Handbook (7th Edition):

Yao, Zhennan. “VTQuestAR: An Augmented Reality Mobile Software Application for Virginia Tech Campus Visitors.” 2021. Web. 12 Apr 2021.

Vancouver:

Yao Z. VTQuestAR: An Augmented Reality Mobile Software Application for Virginia Tech Campus Visitors. [Internet] [Masters thesis]. Virginia Tech; 2021. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/101790.

Council of Science Editors:

Yao Z. VTQuestAR: An Augmented Reality Mobile Software Application for Virginia Tech Campus Visitors. [Masters Thesis]. Virginia Tech; 2021. Available from: http://hdl.handle.net/10919/101790


Virginia Tech

3. Puthige, Ashwin Acharya. Bioflow: A web based workflow management system for design and execution of genomics pipelines.

Degree: MS, Computer Science and Applications, 2014, Virginia Tech

 The cost required for the process of sequencing genomes has decreased drastically in the last few years. The knowledge of full genomes has increased the… (more)

Subjects/Keywords: genomics pipeline; workflow automation; web development; workflow designer; ruby on rails; genomics workflow.

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APA (6th Edition):

Puthige, A. A. (2014). Bioflow: A web based workflow management system for design and execution of genomics pipelines. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/24809

Chicago Manual of Style (16th Edition):

Puthige, Ashwin Acharya. “Bioflow: A web based workflow management system for design and execution of genomics pipelines.” 2014. Masters Thesis, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/24809.

MLA Handbook (7th Edition):

Puthige, Ashwin Acharya. “Bioflow: A web based workflow management system for design and execution of genomics pipelines.” 2014. Web. 12 Apr 2021.

Vancouver:

Puthige AA. Bioflow: A web based workflow management system for design and execution of genomics pipelines. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/24809.

Council of Science Editors:

Puthige AA. Bioflow: A web based workflow management system for design and execution of genomics pipelines. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/24809


Virginia Tech

4. Yang, Yanshen. MCAT: Motif Combining and Association Tool.

Degree: MS, Computer Science and Applications, 2018, Virginia Tech

 De novo motif discovery in biological sequences is an important and computationally challenging problem. A myriad of algorithms have been developed to solve this problem… (more)

Subjects/Keywords: Motif finding

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APA (6th Edition):

Yang, Y. (2018). MCAT: Motif Combining and Association Tool. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/84999

Chicago Manual of Style (16th Edition):

Yang, Yanshen. “MCAT: Motif Combining and Association Tool.” 2018. Masters Thesis, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/84999.

MLA Handbook (7th Edition):

Yang, Yanshen. “MCAT: Motif Combining and Association Tool.” 2018. Web. 12 Apr 2021.

Vancouver:

Yang Y. MCAT: Motif Combining and Association Tool. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/84999.

Council of Science Editors:

Yang Y. MCAT: Motif Combining and Association Tool. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/84999


Virginia Tech

5. Weisberg, Alexandra Jamie. Investigations into the molecular evolution of plant terpene, alkaloid, and urushiol biosynthetic enzymes.

Degree: PhD, Genetics, Bioinformatics, and Computational Biology, 2014, Virginia Tech

 Plants produce a vast number of low-molecular-weight chemicals (so called secondary or specialized metabolites) that confer a selective advantage to the plant, such as defense… (more)

Subjects/Keywords: molecular evolution; plant specialized metabolism; urushiol; caffeine; nicotine; N-methyltransferase; alkaloid biosynthesis; protein engineering; terpene synthase; natural selection

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APA (6th Edition):

Weisberg, A. J. (2014). Investigations into the molecular evolution of plant terpene, alkaloid, and urushiol biosynthetic enzymes. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/64408

Chicago Manual of Style (16th Edition):

Weisberg, Alexandra Jamie. “Investigations into the molecular evolution of plant terpene, alkaloid, and urushiol biosynthetic enzymes.” 2014. Doctoral Dissertation, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/64408.

MLA Handbook (7th Edition):

Weisberg, Alexandra Jamie. “Investigations into the molecular evolution of plant terpene, alkaloid, and urushiol biosynthetic enzymes.” 2014. Web. 12 Apr 2021.

Vancouver:

Weisberg AJ. Investigations into the molecular evolution of plant terpene, alkaloid, and urushiol biosynthetic enzymes. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/64408.

Council of Science Editors:

Weisberg AJ. Investigations into the molecular evolution of plant terpene, alkaloid, and urushiol biosynthetic enzymes. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/64408


Virginia Tech

6. Chakraborty, Promita. A Computational Framework for Interacting with Physical Molecular Models of the Polypeptide Chain.

Degree: PhD, Computer Science and Applications, 2014, Virginia Tech

 Although nonflexible, scaled molecular models like Pauling-Corey's and its descendants have made significant contributions in structural biology research and pedagogy, recent technical advances in 3D… (more)

Subjects/Keywords: Physical models; polypeptides; Ramachandran plot; 3D-printing; molecular model; protein folding; structural biology; biochemistry education; physical-digital interface; macromolecule; Peppytide

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APA (6th Edition):

Chakraborty, P. (2014). A Computational Framework for Interacting with Physical Molecular Models of the Polypeptide Chain. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/47932

Chicago Manual of Style (16th Edition):

Chakraborty, Promita. “A Computational Framework for Interacting with Physical Molecular Models of the Polypeptide Chain.” 2014. Doctoral Dissertation, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/47932.

MLA Handbook (7th Edition):

Chakraborty, Promita. “A Computational Framework for Interacting with Physical Molecular Models of the Polypeptide Chain.” 2014. Web. 12 Apr 2021.

Vancouver:

Chakraborty P. A Computational Framework for Interacting with Physical Molecular Models of the Polypeptide Chain. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/47932.

Council of Science Editors:

Chakraborty P. A Computational Framework for Interacting with Physical Molecular Models of the Polypeptide Chain. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/47932


Virginia Tech

7. Lewis, Stephanie N. Refinement of the Docking Component of Virtual Screening for PPAR.

Degree: PhD, Genetics, Bioinformatics, and Computational Biology, 2013, Virginia Tech

 Exploration of peroxisome proliferator-activated receptor-gamma (PPAR") as a drug target holds applications for treating a wide variety of chronic inflammation-related diseases. Type 2 diabetes (T2D),… (more)

Subjects/Keywords: Virtual screening; PPAR

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APA (6th Edition):

Lewis, S. N. (2013). Refinement of the Docking Component of Virtual Screening for PPAR. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/23675

Chicago Manual of Style (16th Edition):

Lewis, Stephanie N. “Refinement of the Docking Component of Virtual Screening for PPAR.” 2013. Doctoral Dissertation, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/23675.

MLA Handbook (7th Edition):

Lewis, Stephanie N. “Refinement of the Docking Component of Virtual Screening for PPAR.” 2013. Web. 12 Apr 2021.

Vancouver:

Lewis SN. Refinement of the Docking Component of Virtual Screening for PPAR. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/23675.

Council of Science Editors:

Lewis SN. Refinement of the Docking Component of Virtual Screening for PPAR. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/23675


Virginia Tech

8. Torkey, Hanaa A. Machine Learning Approaches for Identifying microRNA Targets and Conserved Protein Complexes.

Degree: PhD, Computer Science and Applications, 2017, Virginia Tech

 Much research has been directed toward understanding the roles of essential components in the cell, such as proteins, microRNAs, and genes. This dissertation focuses on… (more)

Subjects/Keywords: microRNA target; machine learning; network alignment; protein complex.

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APA (6th Edition):

Torkey, H. A. (2017). Machine Learning Approaches for Identifying microRNA Targets and Conserved Protein Complexes. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/77536

Chicago Manual of Style (16th Edition):

Torkey, Hanaa A. “Machine Learning Approaches for Identifying microRNA Targets and Conserved Protein Complexes.” 2017. Doctoral Dissertation, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/77536.

MLA Handbook (7th Edition):

Torkey, Hanaa A. “Machine Learning Approaches for Identifying microRNA Targets and Conserved Protein Complexes.” 2017. Web. 12 Apr 2021.

Vancouver:

Torkey HA. Machine Learning Approaches for Identifying microRNA Targets and Conserved Protein Complexes. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/77536.

Council of Science Editors:

Torkey HA. Machine Learning Approaches for Identifying microRNA Targets and Conserved Protein Complexes. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/77536


Virginia Tech

9. Suren, Haktan. Sequence capture as a tool to understand the genomic basis for adaptation in angiosperm and gymnosperm trees.

Degree: PhD, Genetics, Bioinformatics, and Computational Biology, 2017, Virginia Tech

 Forest trees represent a unique group of organisms combined with ecological and economic importance. Owing to their random mating system and widespread geographical distribution, they… (more)

Subjects/Keywords: Forest trees; sequence capture; adaptation; next-generation sequencing

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APA (6th Edition):

Suren, H. (2017). Sequence capture as a tool to understand the genomic basis for adaptation in angiosperm and gymnosperm trees. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/86383

Chicago Manual of Style (16th Edition):

Suren, Haktan. “Sequence capture as a tool to understand the genomic basis for adaptation in angiosperm and gymnosperm trees.” 2017. Doctoral Dissertation, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/86383.

MLA Handbook (7th Edition):

Suren, Haktan. “Sequence capture as a tool to understand the genomic basis for adaptation in angiosperm and gymnosperm trees.” 2017. Web. 12 Apr 2021.

Vancouver:

Suren H. Sequence capture as a tool to understand the genomic basis for adaptation in angiosperm and gymnosperm trees. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/86383.

Council of Science Editors:

Suren H. Sequence capture as a tool to understand the genomic basis for adaptation in angiosperm and gymnosperm trees. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/86383


Virginia Tech

10. Adikari Mudiyanselage, Jayantha Bandara Adikari. DNA Sequence and Haplotype Variation Analyses of Circadian Clock Genes and Their Effects on Phenotypes in the Turkey, Meleagris gallopavo.

Degree: PhD, Animal and Poultry Sciences, 2012, Virginia Tech

 Present study was planned to compare the phenotypic variation of performances traits among commercial (CC) and heritage varieties of turkeys. Information about heritage turkey varieties… (more)

Subjects/Keywords: Heritage turkey; clock genes; haplogroups; genotype; phenotype

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APA (6th Edition):

Adikari Mudiyanselage, J. B. A. (2012). DNA Sequence and Haplotype Variation Analyses of Circadian Clock Genes and Their Effects on Phenotypes in the Turkey, Meleagris gallopavo. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/49550

Chicago Manual of Style (16th Edition):

Adikari Mudiyanselage, Jayantha Bandara Adikari. “DNA Sequence and Haplotype Variation Analyses of Circadian Clock Genes and Their Effects on Phenotypes in the Turkey, Meleagris gallopavo.” 2012. Doctoral Dissertation, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/49550.

MLA Handbook (7th Edition):

Adikari Mudiyanselage, Jayantha Bandara Adikari. “DNA Sequence and Haplotype Variation Analyses of Circadian Clock Genes and Their Effects on Phenotypes in the Turkey, Meleagris gallopavo.” 2012. Web. 12 Apr 2021.

Vancouver:

Adikari Mudiyanselage JBA. DNA Sequence and Haplotype Variation Analyses of Circadian Clock Genes and Their Effects on Phenotypes in the Turkey, Meleagris gallopavo. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/49550.

Council of Science Editors:

Adikari Mudiyanselage JBA. DNA Sequence and Haplotype Variation Analyses of Circadian Clock Genes and Their Effects on Phenotypes in the Turkey, Meleagris gallopavo. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/49550


Virginia Tech

11. Fu, Xiaonan. Functional study of miRNA-mRNA interactions in malaria mosquito An. gambiae.

Degree: PhD, Genetics, Bioinformatics and Computational Biology, 2018, Virginia Tech

 Female adults of many mosquito species possess distinct physiological features adapting to blood feeding for successful reproduction. The disease pathogens that are transmitted by mosquitoes… (more)

Subjects/Keywords: microRNA; Argonaute; CLEAR-CLIP; CLIP-seq; mRNA-seq; Ribo-seq; RISC; miR-309; let-7; kr-h1; SIX4; oogenesis; metabolism dynamics; Plasmodium falciparum; malaria; Anopheles gambiae

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APA (6th Edition):

Fu, X. (2018). Functional study of miRNA-mRNA interactions in malaria mosquito An. gambiae. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/96216

Chicago Manual of Style (16th Edition):

Fu, Xiaonan. “Functional study of miRNA-mRNA interactions in malaria mosquito An. gambiae.” 2018. Doctoral Dissertation, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/96216.

MLA Handbook (7th Edition):

Fu, Xiaonan. “Functional study of miRNA-mRNA interactions in malaria mosquito An. gambiae.” 2018. Web. 12 Apr 2021.

Vancouver:

Fu X. Functional study of miRNA-mRNA interactions in malaria mosquito An. gambiae. [Internet] [Doctoral dissertation]. Virginia Tech; 2018. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/96216.

Council of Science Editors:

Fu X. Functional study of miRNA-mRNA interactions in malaria mosquito An. gambiae. [Doctoral Dissertation]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/96216


Virginia Tech

12. Ahn, Tae-Hyuk. Computational Techniques for the Analysis of Large Scale Biological Systems.

Degree: PhD, Computer Science, 2016, Virginia Tech

 An accelerated pace of discovery in biological sciences is made possible by a new generation of computational biology and bioinformatics tools. In this dissertation we… (more)

Subjects/Keywords: Stochastic simulation algorithm (SSA); Parallel load balancing; Cell cycle; RNA-Sequencing; Stochastic differential equations (SDEs)

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APA (6th Edition):

Ahn, T. (2016). Computational Techniques for the Analysis of Large Scale Biological Systems. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/77162

Chicago Manual of Style (16th Edition):

Ahn, Tae-Hyuk. “Computational Techniques for the Analysis of Large Scale Biological Systems.” 2016. Doctoral Dissertation, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/77162.

MLA Handbook (7th Edition):

Ahn, Tae-Hyuk. “Computational Techniques for the Analysis of Large Scale Biological Systems.” 2016. Web. 12 Apr 2021.

Vancouver:

Ahn T. Computational Techniques for the Analysis of Large Scale Biological Systems. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/77162.

Council of Science Editors:

Ahn T. Computational Techniques for the Analysis of Large Scale Biological Systems. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/77162


Virginia Tech

13. Na, Che Woo. Ieee 802.15.4 Wireless Sensor Networks: Gts Scheduling and Service Differentiation.

Degree: PhD, Electrical and Computer Engineering, 2011, Virginia Tech

 Recently there has been a growing interest in the use of Low Rate Wireless Personal Area Networks (LR-WPAN) [1] driven by the large number of… (more)

Subjects/Keywords: delay guarantee; real-time scheduling; virtual collision; wireless sensor; Service Differentiation; GTS; Scheduling

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APA (6th Edition):

Na, C. W. (2011). Ieee 802.15.4 Wireless Sensor Networks: Gts Scheduling and Service Differentiation. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28841

Chicago Manual of Style (16th Edition):

Na, Che Woo. “Ieee 802.15.4 Wireless Sensor Networks: Gts Scheduling and Service Differentiation.” 2011. Doctoral Dissertation, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/28841.

MLA Handbook (7th Edition):

Na, Che Woo. “Ieee 802.15.4 Wireless Sensor Networks: Gts Scheduling and Service Differentiation.” 2011. Web. 12 Apr 2021.

Vancouver:

Na CW. Ieee 802.15.4 Wireless Sensor Networks: Gts Scheduling and Service Differentiation. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/28841.

Council of Science Editors:

Na CW. Ieee 802.15.4 Wireless Sensor Networks: Gts Scheduling and Service Differentiation. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/28841


Virginia Tech

14. Haac, Mary Etna Richter. Genetic factors affecting the RNA interference pathway of Aedes aegypti mosquitoes.

Degree: PhD, Entomology, 2013, Virginia Tech

 Aedes aegypti mosquitoes are the vectors of many significant arboviruses that cause tremendous social and economic impact. RNA interference (RNAi) plays a crucial role in… (more)

Subjects/Keywords: mosquito; RNA interference; Aedes aegypti

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APA (6th Edition):

Haac, M. E. R. (2013). Genetic factors affecting the RNA interference pathway of Aedes aegypti mosquitoes. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/53506

Chicago Manual of Style (16th Edition):

Haac, Mary Etna Richter. “Genetic factors affecting the RNA interference pathway of Aedes aegypti mosquitoes.” 2013. Doctoral Dissertation, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/53506.

MLA Handbook (7th Edition):

Haac, Mary Etna Richter. “Genetic factors affecting the RNA interference pathway of Aedes aegypti mosquitoes.” 2013. Web. 12 Apr 2021.

Vancouver:

Haac MER. Genetic factors affecting the RNA interference pathway of Aedes aegypti mosquitoes. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/53506.

Council of Science Editors:

Haac MER. Genetic factors affecting the RNA interference pathway of Aedes aegypti mosquitoes. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/53506


Virginia Tech

15. Zhang, Jing. Transforming and Optimizing Irregular Applications for Parallel Architectures.

Degree: PhD, Computer Science and Applications, 2018, Virginia Tech

 Parallel architectures, including multi-core processors, many-core processors, and multi-node systems, have become commonplace, as it is no longer feasible to improve single-core performance through increasing… (more)

Subjects/Keywords: Irregular Applications; Parallel Architectures; Multi-core; Many-core; Multi-node; Bioinformatics

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APA (6th Edition):

Zhang, J. (2018). Transforming and Optimizing Irregular Applications for Parallel Architectures. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/82069

Chicago Manual of Style (16th Edition):

Zhang, Jing. “Transforming and Optimizing Irregular Applications for Parallel Architectures.” 2018. Doctoral Dissertation, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/82069.

MLA Handbook (7th Edition):

Zhang, Jing. “Transforming and Optimizing Irregular Applications for Parallel Architectures.” 2018. Web. 12 Apr 2021.

Vancouver:

Zhang J. Transforming and Optimizing Irregular Applications for Parallel Architectures. [Internet] [Doctoral dissertation]. Virginia Tech; 2018. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/82069.

Council of Science Editors:

Zhang J. Transforming and Optimizing Irregular Applications for Parallel Architectures. [Doctoral Dissertation]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/82069


Virginia Tech

16. Tithi, Saima Sultana. Computational Analysis of Viruses in Metagenomic Data.

Degree: PhD, Computer Science and Applications, 2019, Virginia Tech

 Virus, the most abundant micro-organism on earth has a profound impact on human health and environment. Analyzing metagenomic data for viruses has the beneFIt of… (more)

Subjects/Keywords: Metagenomics; Virus; Phage; Viral Read Classification; Viral Genome Assembly; Improvement of Virus Assembly; Development of Computational Pipeline

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APA (6th Edition):

Tithi, S. S. (2019). Computational Analysis of Viruses in Metagenomic Data. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/97194

Chicago Manual of Style (16th Edition):

Tithi, Saima Sultana. “Computational Analysis of Viruses in Metagenomic Data.” 2019. Doctoral Dissertation, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/97194.

MLA Handbook (7th Edition):

Tithi, Saima Sultana. “Computational Analysis of Viruses in Metagenomic Data.” 2019. Web. 12 Apr 2021.

Vancouver:

Tithi SS. Computational Analysis of Viruses in Metagenomic Data. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/97194.

Council of Science Editors:

Tithi SS. Computational Analysis of Viruses in Metagenomic Data. [Doctoral Dissertation]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/97194


Virginia Tech

17. Bawa, Rajesh Kumar. Evolutionary Genomics of Populus trichocarpa (Western Poplar).

Degree: PhD, Forestry, 2017, Virginia Tech

 Forest trees are an important pool of biodiversity at the gene, individual and an ecosystem level. This variation is a result of complex environmental interactions,… (more)

Subjects/Keywords: Evolutionary Genomics; Populus trichocarpa; Speciation; Selection; Demographic history; Selection

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APA (6th Edition):

Bawa, R. K. (2017). Evolutionary Genomics of Populus trichocarpa (Western Poplar). (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/87515

Chicago Manual of Style (16th Edition):

Bawa, Rajesh Kumar. “Evolutionary Genomics of Populus trichocarpa (Western Poplar).” 2017. Doctoral Dissertation, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/87515.

MLA Handbook (7th Edition):

Bawa, Rajesh Kumar. “Evolutionary Genomics of Populus trichocarpa (Western Poplar).” 2017. Web. 12 Apr 2021.

Vancouver:

Bawa RK. Evolutionary Genomics of Populus trichocarpa (Western Poplar). [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/87515.

Council of Science Editors:

Bawa RK. Evolutionary Genomics of Populus trichocarpa (Western Poplar). [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/87515


Virginia Tech

18. Hu, Wanqi. The early zygotic genes and microRNAs in the yellow fever mosquito Aedes aegypti  and the Asian malaria mosquito Anopheles stephensi.

Degree: PhD, Biochemistry, 2014, Virginia Tech

 Mosquitoes are notorious vectors for multiple diseases like malaria, yellow fever and dengue fever. To manipulate gene expression in mosquito and spread desired genes among… (more)

Subjects/Keywords: Aedes aegypti; Anopheles stephensi; early zygotic gene; cis-regulatory motif; early zygotic promoter; transgenic mosquito; microRNA

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APA (6th Edition):

Hu, W. (2014). The early zygotic genes and microRNAs in the yellow fever mosquito Aedes aegypti  and the Asian malaria mosquito Anopheles stephensi. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/70857

Chicago Manual of Style (16th Edition):

Hu, Wanqi. “The early zygotic genes and microRNAs in the yellow fever mosquito Aedes aegypti  and the Asian malaria mosquito Anopheles stephensi.” 2014. Doctoral Dissertation, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/70857.

MLA Handbook (7th Edition):

Hu, Wanqi. “The early zygotic genes and microRNAs in the yellow fever mosquito Aedes aegypti  and the Asian malaria mosquito Anopheles stephensi.” 2014. Web. 12 Apr 2021.

Vancouver:

Hu W. The early zygotic genes and microRNAs in the yellow fever mosquito Aedes aegypti  and the Asian malaria mosquito Anopheles stephensi. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/70857.

Council of Science Editors:

Hu W. The early zygotic genes and microRNAs in the yellow fever mosquito Aedes aegypti  and the Asian malaria mosquito Anopheles stephensi. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/70857


Virginia Tech

19. Uliana, David Christopher. FPGA-Based Accelerator Development for Non-Engineers.

Degree: MS, Electrical and Computer Engineering, 2014, Virginia Tech

 In today's world of big-data computing, access to massive, complex data sets has reached an unprecedented level, and the task of intelligently processing such data… (more)

Subjects/Keywords: Big-data; HPC; FPGA; Heterogeneous Computing; Life Sciences

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APA (6th Edition):

Uliana, D. C. (2014). FPGA-Based Accelerator Development for Non-Engineers. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78091

Chicago Manual of Style (16th Edition):

Uliana, David Christopher. “FPGA-Based Accelerator Development for Non-Engineers.” 2014. Masters Thesis, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/78091.

MLA Handbook (7th Edition):

Uliana, David Christopher. “FPGA-Based Accelerator Development for Non-Engineers.” 2014. Web. 12 Apr 2021.

Vancouver:

Uliana DC. FPGA-Based Accelerator Development for Non-Engineers. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/78091.

Council of Science Editors:

Uliana DC. FPGA-Based Accelerator Development for Non-Engineers. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/78091


Virginia Tech

20. Kang, Lin. Comparative Genomics Insights into Speciation and Evolution of Hawaiian Drosophila.

Degree: PhD, Genetics, Bioinformatics, and Computational Biology, 2017, Virginia Tech

 Speciation and adaptation have always been of great interest to biologists. The Hawaiian archipelago provides a natural arena for understanding adaptive radiation and speciation, and… (more)

Subjects/Keywords: Genomics; Comparative genomics; Drosophila; Evolution; Adaptation

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APA (6th Edition):

Kang, L. (2017). Comparative Genomics Insights into Speciation and Evolution of Hawaiian Drosophila. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/85467

Chicago Manual of Style (16th Edition):

Kang, Lin. “Comparative Genomics Insights into Speciation and Evolution of Hawaiian Drosophila.” 2017. Doctoral Dissertation, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/85467.

MLA Handbook (7th Edition):

Kang, Lin. “Comparative Genomics Insights into Speciation and Evolution of Hawaiian Drosophila.” 2017. Web. 12 Apr 2021.

Vancouver:

Kang L. Comparative Genomics Insights into Speciation and Evolution of Hawaiian Drosophila. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/85467.

Council of Science Editors:

Kang L. Comparative Genomics Insights into Speciation and Evolution of Hawaiian Drosophila. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/85467


Virginia Tech

21. Badr, Eman. Identifying Splicing Regulatory Elements with de Bruijn Graphs.

Degree: PhD, Computer Science and Applications, 2015, Virginia Tech

 Splicing regulatory elements (SREs) are short, degenerate sequences on pre-mRNA molecules that enhance or inhibit the splicing process via the binding of splicing factors, proteins… (more)

Subjects/Keywords: Alternative splicing; de Bruijn graphs; algorithms; graph mining; splicing regulatory elements

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APA (6th Edition):

Badr, E. (2015). Identifying Splicing Regulatory Elements with de Bruijn Graphs. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/73366

Chicago Manual of Style (16th Edition):

Badr, Eman. “Identifying Splicing Regulatory Elements with de Bruijn Graphs.” 2015. Doctoral Dissertation, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/73366.

MLA Handbook (7th Edition):

Badr, Eman. “Identifying Splicing Regulatory Elements with de Bruijn Graphs.” 2015. Web. 12 Apr 2021.

Vancouver:

Badr E. Identifying Splicing Regulatory Elements with de Bruijn Graphs. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/73366.

Council of Science Editors:

Badr E. Identifying Splicing Regulatory Elements with de Bruijn Graphs. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/73366


Virginia Tech

22. Hall, Andrew Brantley. Identification and Characterization of Y Chromosome and M Locus Genes in Anopheles and Aedes Mosquitoes Using the Chromosome Quotient Method.

Degree: PhD, Genetics, Bioinformatics, and Computational Biology, 2016, Virginia Tech

 In mosquitoes, sex determination is initiated by a dominant male-determining factor located on the Y chromosome in Anopheles mosquitoes or in a small Y-like region… (more)

Subjects/Keywords: Genetics; Bioinformatics

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APA (6th Edition):

Hall, A. B. (2016). Identification and Characterization of Y Chromosome and M Locus Genes in Anopheles and Aedes Mosquitoes Using the Chromosome Quotient Method. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78883

Chicago Manual of Style (16th Edition):

Hall, Andrew Brantley. “Identification and Characterization of Y Chromosome and M Locus Genes in Anopheles and Aedes Mosquitoes Using the Chromosome Quotient Method.” 2016. Doctoral Dissertation, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/78883.

MLA Handbook (7th Edition):

Hall, Andrew Brantley. “Identification and Characterization of Y Chromosome and M Locus Genes in Anopheles and Aedes Mosquitoes Using the Chromosome Quotient Method.” 2016. Web. 12 Apr 2021.

Vancouver:

Hall AB. Identification and Characterization of Y Chromosome and M Locus Genes in Anopheles and Aedes Mosquitoes Using the Chromosome Quotient Method. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/78883.

Council of Science Editors:

Hall AB. Identification and Characterization of Y Chromosome and M Locus Genes in Anopheles and Aedes Mosquitoes Using the Chromosome Quotient Method. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/78883


Virginia Tech

23. Arango Argoty, Gustavo Alonso. Computational Tools for Annotating Antibiotic Resistance in Metagenomic Data.

Degree: PhD, Computer Science and Applications, 2019, Virginia Tech

 Antimicrobial resistance (AMR) is one of the biggest threats to human public health. It has been estimated that the number of deaths caused by AMR… (more)

Subjects/Keywords: bioinformatics; metagenomics; antibiotic resistance; machine learning

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APA (6th Edition):

Arango Argoty, G. A. (2019). Computational Tools for Annotating Antibiotic Resistance in Metagenomic Data. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/88987

Chicago Manual of Style (16th Edition):

Arango Argoty, Gustavo Alonso. “Computational Tools for Annotating Antibiotic Resistance in Metagenomic Data.” 2019. Doctoral Dissertation, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/88987.

MLA Handbook (7th Edition):

Arango Argoty, Gustavo Alonso. “Computational Tools for Annotating Antibiotic Resistance in Metagenomic Data.” 2019. Web. 12 Apr 2021.

Vancouver:

Arango Argoty GA. Computational Tools for Annotating Antibiotic Resistance in Metagenomic Data. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/88987.

Council of Science Editors:

Arango Argoty GA. Computational Tools for Annotating Antibiotic Resistance in Metagenomic Data. [Doctoral Dissertation]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/88987


Virginia Tech

24. Jiang, Xiaofang. Genomics and Transcriptomics Analysis of the Asian Malaria Mosquito Anopheles stephensi.

Degree: PhD, Genetics, Bioinformatics, and Computational Biology, 2016, Virginia Tech

 Anopheles stephensi is a potent vector of malaria throughout the Indian subcontinent and Middle East. An. stephensi is emerging as a model for molecular and… (more)

Subjects/Keywords: genomic; comparative transcriptomes; dosage compensation; sex-specific expression Iso-Seq; trans-splicing

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APA (6th Edition):

Jiang, X. (2016). Genomics and Transcriptomics Analysis of the Asian Malaria Mosquito Anopheles stephensi. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/79959

Chicago Manual of Style (16th Edition):

Jiang, Xiaofang. “Genomics and Transcriptomics Analysis of the Asian Malaria Mosquito Anopheles stephensi.” 2016. Doctoral Dissertation, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/79959.

MLA Handbook (7th Edition):

Jiang, Xiaofang. “Genomics and Transcriptomics Analysis of the Asian Malaria Mosquito Anopheles stephensi.” 2016. Web. 12 Apr 2021.

Vancouver:

Jiang X. Genomics and Transcriptomics Analysis of the Asian Malaria Mosquito Anopheles stephensi. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/79959.

Council of Science Editors:

Jiang X. Genomics and Transcriptomics Analysis of the Asian Malaria Mosquito Anopheles stephensi. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/79959


Virginia Tech

25. Liu, Mingming. Predicting the Functional Effects of Human Short Variations Using Hidden Markov Models.

Degree: PhD, Computer Science and Applications, 2015, Virginia Tech

 With the development of sequencing technologies, more and more sequence variants are available for investigation. Different types of variants in the human genome have been… (more)

Subjects/Keywords: Genetic variation; Indel; SNP; Hidden Markov Model

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APA (6th Edition):

Liu, M. (2015). Predicting the Functional Effects of Human Short Variations Using Hidden Markov Models. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/73703

Chicago Manual of Style (16th Edition):

Liu, Mingming. “Predicting the Functional Effects of Human Short Variations Using Hidden Markov Models.” 2015. Doctoral Dissertation, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/73703.

MLA Handbook (7th Edition):

Liu, Mingming. “Predicting the Functional Effects of Human Short Variations Using Hidden Markov Models.” 2015. Web. 12 Apr 2021.

Vancouver:

Liu M. Predicting the Functional Effects of Human Short Variations Using Hidden Markov Models. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/73703.

Council of Science Editors:

Liu M. Predicting the Functional Effects of Human Short Variations Using Hidden Markov Models. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/73703

26. Lei, Shaohua. A RNA Virus Reference Database (RVRD) to Enhance Virus Detection in Metagenomic Data.

Degree: MS, Computer Science and Applications, 2018, Virginia Tech

 Next-generation sequencing technology has demonstrated capability for the detection of viruses in various samples, but one challenge in bioinformatics analysis is the lack of well-curated… (more)

Subjects/Keywords: RNA virus; Database; Virus detection; Metagenomics; Cluster

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APA (6th Edition):

Lei, S. (2018). A RNA Virus Reference Database (RVRD) to Enhance Virus Detection in Metagenomic Data. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/85388

Chicago Manual of Style (16th Edition):

Lei, Shaohua. “A RNA Virus Reference Database (RVRD) to Enhance Virus Detection in Metagenomic Data.” 2018. Masters Thesis, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/85388.

MLA Handbook (7th Edition):

Lei, Shaohua. “A RNA Virus Reference Database (RVRD) to Enhance Virus Detection in Metagenomic Data.” 2018. Web. 12 Apr 2021.

Vancouver:

Lei S. A RNA Virus Reference Database (RVRD) to Enhance Virus Detection in Metagenomic Data. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/85388.

Council of Science Editors:

Lei S. A RNA Virus Reference Database (RVRD) to Enhance Virus Detection in Metagenomic Data. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/85388

27. Tran, Hong Thi Thanh. Evaluating and Improving Performance of Bisulfite Short Reads Alignment and the Identification of Differentially Methylated Sites.

Degree: PhD, Genetics, Bioinformatics, and Computational Biology, 2018, Virginia Tech

 Large-scale bisulfite treatment and short reads sequencing technology allows comprehensive estimation of methylation states of Cs in the genomes of different tissues, cell types, and… (more)

Subjects/Keywords: Sequence Analysis; Methylation; Bisulfite short next generation sequence mapping; Bayesian statistics

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APA (6th Edition):

Tran, H. T. T. (2018). Evaluating and Improving Performance of Bisulfite Short Reads Alignment and the Identification of Differentially Methylated Sites. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/81861

Chicago Manual of Style (16th Edition):

Tran, Hong Thi Thanh. “Evaluating and Improving Performance of Bisulfite Short Reads Alignment and the Identification of Differentially Methylated Sites.” 2018. Doctoral Dissertation, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/81861.

MLA Handbook (7th Edition):

Tran, Hong Thi Thanh. “Evaluating and Improving Performance of Bisulfite Short Reads Alignment and the Identification of Differentially Methylated Sites.” 2018. Web. 12 Apr 2021.

Vancouver:

Tran HTT. Evaluating and Improving Performance of Bisulfite Short Reads Alignment and the Identification of Differentially Methylated Sites. [Internet] [Doctoral dissertation]. Virginia Tech; 2018. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/81861.

Council of Science Editors:

Tran HTT. Evaluating and Improving Performance of Bisulfite Short Reads Alignment and the Identification of Differentially Methylated Sites. [Doctoral Dissertation]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/81861


Virginia Tech

28. Jiao, Jian. A framework for finding and summarizing product defects, and ranking helpful threads from online customer forums through machine learning.

Degree: PhD, Computer Science and Applications, 2013, Virginia Tech

 The Internet has revolutionized the way users share and acquire knowledge. As important and popular Web-based applications, online discussion forums provide interactive platforms for users… (more)

Subjects/Keywords: product defect detection; product feature extraction; summarization; clustering; learning to rank; thread ranking

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APA (6th Edition):

Jiao, J. (2013). A framework for finding and summarizing product defects, and ranking helpful threads from online customer forums through machine learning. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/23159

Chicago Manual of Style (16th Edition):

Jiao, Jian. “A framework for finding and summarizing product defects, and ranking helpful threads from online customer forums through machine learning.” 2013. Doctoral Dissertation, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/23159.

MLA Handbook (7th Edition):

Jiao, Jian. “A framework for finding and summarizing product defects, and ranking helpful threads from online customer forums through machine learning.” 2013. Web. 12 Apr 2021.

Vancouver:

Jiao J. A framework for finding and summarizing product defects, and ranking helpful threads from online customer forums through machine learning. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/23159.

Council of Science Editors:

Jiao J. A framework for finding and summarizing product defects, and ranking helpful threads from online customer forums through machine learning. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/23159


Virginia Tech

29. Warren, Andrew S. Methods for Analysis of Prokaryotic Genome Architecture.

Degree: PhD, Computer Science and Applications, 2017, Virginia Tech

 Research in comparative microbial genomics has largely been organized around the concept of reference genomes. Reference genomes provide a useful comparative touchstone for closely related… (more)

Subjects/Keywords: Computer science; Bioinformatics; Microbiology

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APA (6th Edition):

Warren, A. S. (2017). Methods for Analysis of Prokaryotic Genome Architecture. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/86660

Chicago Manual of Style (16th Edition):

Warren, Andrew S. “Methods for Analysis of Prokaryotic Genome Architecture.” 2017. Doctoral Dissertation, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/86660.

MLA Handbook (7th Edition):

Warren, Andrew S. “Methods for Analysis of Prokaryotic Genome Architecture.” 2017. Web. 12 Apr 2021.

Vancouver:

Warren AS. Methods for Analysis of Prokaryotic Genome Architecture. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/86660.

Council of Science Editors:

Warren AS. Methods for Analysis of Prokaryotic Genome Architecture. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/86660

30. Porter, Jacob Stuart. Mapping Bisulfite-Treated Short DNA Reads.

Degree: PhD, Computer Science and Applications, 2018, Virginia Tech

 Epigenetics are stable heritable traits that are not a result of the DNA sequence. Epigenetic modification of DNA cytosine plays a role in development and… (more)

Subjects/Keywords: DNA read alignment; hairpin whole genome bisulfite; indels; bisulfite Ion Torrent; BisPin; BFAST-Gap

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APA (6th Edition):

Porter, J. S. (2018). Mapping Bisulfite-Treated Short DNA Reads. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/82870

Chicago Manual of Style (16th Edition):

Porter, Jacob Stuart. “Mapping Bisulfite-Treated Short DNA Reads.” 2018. Doctoral Dissertation, Virginia Tech. Accessed April 12, 2021. http://hdl.handle.net/10919/82870.

MLA Handbook (7th Edition):

Porter, Jacob Stuart. “Mapping Bisulfite-Treated Short DNA Reads.” 2018. Web. 12 Apr 2021.

Vancouver:

Porter JS. Mapping Bisulfite-Treated Short DNA Reads. [Internet] [Doctoral dissertation]. Virginia Tech; 2018. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10919/82870.

Council of Science Editors:

Porter JS. Mapping Bisulfite-Treated Short DNA Reads. [Doctoral Dissertation]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/82870

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