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You searched for +publisher:"Georgia Tech" +contributor:("Jordan, King"). Showing records 1 – 30 of 32 total matches.

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Georgia Tech

1. Rojas Pena, Monica Lisseth. Gene expression profiling approach towards enhancement of malaria vaccine development.

Degree: PhD, Biology, 2016, Georgia Tech

 Malaria continues to be one of the highest morbidity and mortality infectious diseases in the world, posing an enormous public health burden with significant economic… (more)

Subjects/Keywords: Malaria; Plasmodim vivax; Vaccine; Gene expression; RNA-seq

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APA (6th Edition):

Rojas Pena, M. L. (2016). Gene expression profiling approach towards enhancement of malaria vaccine development. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56252

Chicago Manual of Style (16th Edition):

Rojas Pena, Monica Lisseth. “Gene expression profiling approach towards enhancement of malaria vaccine development.” 2016. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/56252.

MLA Handbook (7th Edition):

Rojas Pena, Monica Lisseth. “Gene expression profiling approach towards enhancement of malaria vaccine development.” 2016. Web. 05 Apr 2020.

Vancouver:

Rojas Pena ML. Gene expression profiling approach towards enhancement of malaria vaccine development. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/56252.

Council of Science Editors:

Rojas Pena ML. Gene expression profiling approach towards enhancement of malaria vaccine development. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/56252


Georgia Tech

2. Pena Gonzalez, Angela Viviana. INTEGRATING TRADITIONAL MICROBIOLOGY WITH CUTTING-EDGE (META-)GENOMICS TO ADVANCE PATHOGEN DETECTION AND TO ELUCIDATE MICROBIOME SIGNATURES OF INFECTION.

Degree: PhD, Biology, 2018, Georgia Tech

 Microbes play a central role in human health. Through normal everyday activities, the human body is exposed to countless microorganisms from the environment in addition… (more)

Subjects/Keywords: Clinical Metagenomics; Diarrheal Diseases, Bioinformatics, Comparative Genomics; Escherichia coli, Bacillus anthracis; Clostridium sporogenes

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APA (6th Edition):

Pena Gonzalez, A. V. (2018). INTEGRATING TRADITIONAL MICROBIOLOGY WITH CUTTING-EDGE (META-)GENOMICS TO ADVANCE PATHOGEN DETECTION AND TO ELUCIDATE MICROBIOME SIGNATURES OF INFECTION. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62231

Chicago Manual of Style (16th Edition):

Pena Gonzalez, Angela Viviana. “INTEGRATING TRADITIONAL MICROBIOLOGY WITH CUTTING-EDGE (META-)GENOMICS TO ADVANCE PATHOGEN DETECTION AND TO ELUCIDATE MICROBIOME SIGNATURES OF INFECTION.” 2018. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/62231.

MLA Handbook (7th Edition):

Pena Gonzalez, Angela Viviana. “INTEGRATING TRADITIONAL MICROBIOLOGY WITH CUTTING-EDGE (META-)GENOMICS TO ADVANCE PATHOGEN DETECTION AND TO ELUCIDATE MICROBIOME SIGNATURES OF INFECTION.” 2018. Web. 05 Apr 2020.

Vancouver:

Pena Gonzalez AV. INTEGRATING TRADITIONAL MICROBIOLOGY WITH CUTTING-EDGE (META-)GENOMICS TO ADVANCE PATHOGEN DETECTION AND TO ELUCIDATE MICROBIOME SIGNATURES OF INFECTION. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/62231.

Council of Science Editors:

Pena Gonzalez AV. INTEGRATING TRADITIONAL MICROBIOLOGY WITH CUTTING-EDGE (META-)GENOMICS TO ADVANCE PATHOGEN DETECTION AND TO ELUCIDATE MICROBIOME SIGNATURES OF INFECTION. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/62231


Georgia Tech

3. Jain, Chirag. Long read mapping at scale: Algorithms and applications.

Degree: PhD, Computational Science and Engineering, 2019, Georgia Tech

 Capability to sequence DNA has been around for four decades now, providing ample time to explore its myriad applications and the concomitant development of bioinformatics… (more)

Subjects/Keywords: Long reads; Alignment; Sequence mapping; Variation graphs; Genomics

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APA (6th Edition):

Jain, C. (2019). Long read mapping at scale: Algorithms and applications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61258

Chicago Manual of Style (16th Edition):

Jain, Chirag. “Long read mapping at scale: Algorithms and applications.” 2019. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/61258.

MLA Handbook (7th Edition):

Jain, Chirag. “Long read mapping at scale: Algorithms and applications.” 2019. Web. 05 Apr 2020.

Vancouver:

Jain C. Long read mapping at scale: Algorithms and applications. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/61258.

Council of Science Editors:

Jain C. Long read mapping at scale: Algorithms and applications. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61258


Georgia Tech

4. Preeprem, Thanawadee. Functional assessments of amino acid variation in human genomes.

Degree: PhD, Biology, 2014, Georgia Tech

 The Human Genome Project, initiated in 1990, creates an enormous amount of excitement in human genetics—a field of study that seeks answers to the understanding… (more)

Subjects/Keywords: Human genome variations; Single nucleotide polymorphisms; Missense mutations; Amino acid mutations; Integrative analysis; Functional assessment; Functional genomics; Computer simulation; Mutation (Biology); Amino acids

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APA (6th Edition):

Preeprem, T. (2014). Functional assessments of amino acid variation in human genomes. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/51869

Chicago Manual of Style (16th Edition):

Preeprem, Thanawadee. “Functional assessments of amino acid variation in human genomes.” 2014. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/51869.

MLA Handbook (7th Edition):

Preeprem, Thanawadee. “Functional assessments of amino acid variation in human genomes.” 2014. Web. 05 Apr 2020.

Vancouver:

Preeprem T. Functional assessments of amino acid variation in human genomes. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/51869.

Council of Science Editors:

Preeprem T. Functional assessments of amino acid variation in human genomes. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/51869


Georgia Tech

5. Mittal, Vinay K. Detection and characterization of gene-fusions in breast and ovarian cancer using high-throughput sequencing.

Degree: PhD, Biology, 2014, Georgia Tech

 Gene-fusions are a prevalent class of genetic variants that are often employed as cancer biomarkers and therapeutic targets. In recent years, high-throughput sequencing of the… (more)

Subjects/Keywords: Cancer; RNA-Seq; Whole-genome sequencing; Gene-fusion; Bioinformatics; Chimeric transcript; Pipeline; Transcriptomics; Genomics; Next-generation sequencing; High-throughput sequencing

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APA (6th Edition):

Mittal, V. K. (2014). Detection and characterization of gene-fusions in breast and ovarian cancer using high-throughput sequencing. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54014

Chicago Manual of Style (16th Edition):

Mittal, Vinay K. “Detection and characterization of gene-fusions in breast and ovarian cancer using high-throughput sequencing.” 2014. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/54014.

MLA Handbook (7th Edition):

Mittal, Vinay K. “Detection and characterization of gene-fusions in breast and ovarian cancer using high-throughput sequencing.” 2014. Web. 05 Apr 2020.

Vancouver:

Mittal VK. Detection and characterization of gene-fusions in breast and ovarian cancer using high-throughput sequencing. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/54014.

Council of Science Editors:

Mittal VK. Detection and characterization of gene-fusions in breast and ovarian cancer using high-throughput sequencing. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/54014


Georgia Tech

6. Lee, Kevin Joseph. Transcriptomics of malaria host-pathogen interactions in primates.

Degree: PhD, Biology, 2014, Georgia Tech

 Malaria is a pernicious disease that has greatly impacted and continues to affect the human population. While much research has been performed to understand the… (more)

Subjects/Keywords: Malaria; Transcriptomics; RNA-seq; Functional genomics; Pyrimethamine; Plasmodium cynomolgi; Macaca mulatta

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APA (6th Edition):

Lee, K. J. (2014). Transcriptomics of malaria host-pathogen interactions in primates. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54264

Chicago Manual of Style (16th Edition):

Lee, Kevin Joseph. “Transcriptomics of malaria host-pathogen interactions in primates.” 2014. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/54264.

MLA Handbook (7th Edition):

Lee, Kevin Joseph. “Transcriptomics of malaria host-pathogen interactions in primates.” 2014. Web. 05 Apr 2020.

Vancouver:

Lee KJ. Transcriptomics of malaria host-pathogen interactions in primates. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/54264.

Council of Science Editors:

Lee KJ. Transcriptomics of malaria host-pathogen interactions in primates. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/54264


Georgia Tech

7. Hagen, Matthew. Biological and clinical data integration and its applications in healthcare.

Degree: PhD, Computer Science, 2014, Georgia Tech

 Answers to the most complex biological questions are rarely determined solely from the experimental evidence. It requires subsequent analysis of many data sources that are… (more)

Subjects/Keywords: Biological database integration; Clinical data warehouse; Candidate gene prioritization; Disease; Diffusion kernel; Data mining; Ontology; Semantic similarity; Clustering; Intensive care unit; Hospital prioritization; Patient; Machine learning

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APA (6th Edition):

Hagen, M. (2014). Biological and clinical data integration and its applications in healthcare. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54267

Chicago Manual of Style (16th Edition):

Hagen, Matthew. “Biological and clinical data integration and its applications in healthcare.” 2014. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/54267.

MLA Handbook (7th Edition):

Hagen, Matthew. “Biological and clinical data integration and its applications in healthcare.” 2014. Web. 05 Apr 2020.

Vancouver:

Hagen M. Biological and clinical data integration and its applications in healthcare. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/54267.

Council of Science Editors:

Hagen M. Biological and clinical data integration and its applications in healthcare. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/54267


Georgia Tech

8. Uppal, Karan. Translational bioinformatics for personalized medicine and integrative biology: Data integration, extraction, knowledge discovery, and visualization.

Degree: PhD, Biology, 2015, Georgia Tech

 This thesis focuses on developing a computational framework to support the Precision Medicine Initiative. The newly developed tools and algorithms use machine learning, text mining… (more)

Subjects/Keywords: Literature mining; Literature-based discovery; Text mining; Text summarization; Visualization; Content recognition; Feature selection; Data mining

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APA (6th Edition):

Uppal, K. (2015). Translational bioinformatics for personalized medicine and integrative biology: Data integration, extraction, knowledge discovery, and visualization. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55548

Chicago Manual of Style (16th Edition):

Uppal, Karan. “Translational bioinformatics for personalized medicine and integrative biology: Data integration, extraction, knowledge discovery, and visualization.” 2015. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/55548.

MLA Handbook (7th Edition):

Uppal, Karan. “Translational bioinformatics for personalized medicine and integrative biology: Data integration, extraction, knowledge discovery, and visualization.” 2015. Web. 05 Apr 2020.

Vancouver:

Uppal K. Translational bioinformatics for personalized medicine and integrative biology: Data integration, extraction, knowledge discovery, and visualization. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/55548.

Council of Science Editors:

Uppal K. Translational bioinformatics for personalized medicine and integrative biology: Data integration, extraction, knowledge discovery, and visualization. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/55548


Georgia Tech

9. Rodriguez Rojas, Luis Miguel. Bioinformatic tools for testing microbial ecology theory in natural environments through metagenomics.

Degree: PhD, Biology, 2016, Georgia Tech

 Metagenomics offers unique opportunities to close the gaps that exist between theory and empirical testing in microbial ecology given the windows it can provide into… (more)

Subjects/Keywords: Microbial Ecology; Metagenomics; Bioinformatics

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APA (6th Edition):

Rodriguez Rojas, L. M. (2016). Bioinformatic tools for testing microbial ecology theory in natural environments through metagenomics. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59154

Chicago Manual of Style (16th Edition):

Rodriguez Rojas, Luis Miguel. “Bioinformatic tools for testing microbial ecology theory in natural environments through metagenomics.” 2016. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/59154.

MLA Handbook (7th Edition):

Rodriguez Rojas, Luis Miguel. “Bioinformatic tools for testing microbial ecology theory in natural environments through metagenomics.” 2016. Web. 05 Apr 2020.

Vancouver:

Rodriguez Rojas LM. Bioinformatic tools for testing microbial ecology theory in natural environments through metagenomics. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/59154.

Council of Science Editors:

Rodriguez Rojas LM. Bioinformatic tools for testing microbial ecology theory in natural environments through metagenomics. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/59154


Georgia Tech

10. Glastad, Karl M. Epigenetics in social insects.

Degree: PhD, Biology, 2016, Georgia Tech

 Virtually all multicellular organisms are capable of developing differently in response to environmental variation. At the molecular level, such developmental plasticity requires interpretation and perpetuation… (more)

Subjects/Keywords: Epigenetics; DNA methylation; Social insects; Phenotypic plasticity

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APA (6th Edition):

Glastad, K. M. (2016). Epigenetics in social insects. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54926

Chicago Manual of Style (16th Edition):

Glastad, Karl M. “Epigenetics in social insects.” 2016. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/54926.

MLA Handbook (7th Edition):

Glastad, Karl M. “Epigenetics in social insects.” 2016. Web. 05 Apr 2020.

Vancouver:

Glastad KM. Epigenetics in social insects. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/54926.

Council of Science Editors:

Glastad KM. Epigenetics in social insects. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/54926

11. Huang, Cai. K-mer based data structures and heuristics for microbes and cancer.

Degree: PhD, Biology, 2018, Georgia Tech

 Recent technological advances allow for high throughput profiling of biological systems in a cost-efficient manner. The low cost of data generation is leading us to… (more)

Subjects/Keywords: Machine learning; Precision medicine; K-mer; Open source

…and gathered by Dr. John McDonald’s lab at Georgia Tech and several Gene Expression Omnibus… …half and full adder circuits. Indeed, this Georgia Tech encoding in part is envisioned in an… 

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APA (6th Edition):

Huang, C. (2018). K-mer based data structures and heuristics for microbes and cancer. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60194

Chicago Manual of Style (16th Edition):

Huang, Cai. “K-mer based data structures and heuristics for microbes and cancer.” 2018. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/60194.

MLA Handbook (7th Edition):

Huang, Cai. “K-mer based data structures and heuristics for microbes and cancer.” 2018. Web. 05 Apr 2020.

Vancouver:

Huang C. K-mer based data structures and heuristics for microbes and cancer. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/60194.

Council of Science Editors:

Huang C. K-mer based data structures and heuristics for microbes and cancer. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60194

12. Zeng, Jia. The evolutionary significance of DNA methylation in human genome.

Degree: PhD, Biology, 2013, Georgia Tech

 In eukaryotic genomes ranging from plants to mammals, DNA methylation is a major epigenetic modification of DNA by adding a methyl group exclusively to cytosine… (more)

Subjects/Keywords: DNA methylation; CpG islands; Whole genome methylation maps; Gene ontology; Evolution; Methylation; Genetics; Human genome; Genomics

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APA (6th Edition):

Zeng, J. (2013). The evolutionary significance of DNA methylation in human genome. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50308

Chicago Manual of Style (16th Edition):

Zeng, Jia. “The evolutionary significance of DNA methylation in human genome.” 2013. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/50308.

MLA Handbook (7th Edition):

Zeng, Jia. “The evolutionary significance of DNA methylation in human genome.” 2013. Web. 05 Apr 2020.

Vancouver:

Zeng J. The evolutionary significance of DNA methylation in human genome. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/50308.

Council of Science Editors:

Zeng J. The evolutionary significance of DNA methylation in human genome. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50308

13. Arora, Gaurav S. Comparative analysis of apoptotic function between humans, chimpanzees and macaques.

Degree: PhD, Biology, 2011, Georgia Tech

 Humans and chimpanzees differ in a number of phenotypic traits chief among them being a larger sized human brain and an increased propensity for cancer… (more)

Subjects/Keywords: Antagonistic pleiotropy; Apoptosis; Retrotransposons; Selection; Cognitive ability; Cancer; Cell death; Cancer Genetic aspects; DNA; Phylogeny

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APA (6th Edition):

Arora, G. S. (2011). Comparative analysis of apoptotic function between humans, chimpanzees and macaques. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/44914

Chicago Manual of Style (16th Edition):

Arora, Gaurav S. “Comparative analysis of apoptotic function between humans, chimpanzees and macaques.” 2011. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/44914.

MLA Handbook (7th Edition):

Arora, Gaurav S. “Comparative analysis of apoptotic function between humans, chimpanzees and macaques.” 2011. Web. 05 Apr 2020.

Vancouver:

Arora GS. Comparative analysis of apoptotic function between humans, chimpanzees and macaques. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/44914.

Council of Science Editors:

Arora GS. Comparative analysis of apoptotic function between humans, chimpanzees and macaques. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/44914

14. Wagner, Darlene Darlington. Comparative genomics reveal ecophysiological adaptations of organohalide-respiring bacteria.

Degree: PhD, Biology, 2012, Georgia Tech

 Organohalide-respiring Bacteria (OHRB) play key roles in the reductive dehalogenation of natural organohalides and anthropogenic chlorinated contaminants. Reductive dehalogenases (RDases) catalyze the cleavage of carbon-halogen… (more)

Subjects/Keywords: Environmental microbiology; Metagenomics; Bioremediation; Hidden Markov model; Ecogenomics; Gene functional annotation; Protein superfamily; Plasmid; Mobile genomic elements; Reductive dehalogenase; Ecophysiology; Proteins; Genomics; Organic compounds

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APA (6th Edition):

Wagner, D. D. (2012). Comparative genomics reveal ecophysiological adaptations of organohalide-respiring bacteria. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/45916

Chicago Manual of Style (16th Edition):

Wagner, Darlene Darlington. “Comparative genomics reveal ecophysiological adaptations of organohalide-respiring bacteria.” 2012. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/45916.

MLA Handbook (7th Edition):

Wagner, Darlene Darlington. “Comparative genomics reveal ecophysiological adaptations of organohalide-respiring bacteria.” 2012. Web. 05 Apr 2020.

Vancouver:

Wagner DD. Comparative genomics reveal ecophysiological adaptations of organohalide-respiring bacteria. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/45916.

Council of Science Editors:

Wagner DD. Comparative genomics reveal ecophysiological adaptations of organohalide-respiring bacteria. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/45916

15. Hill, Christopher G. Studies in microrna function and gene dysregulation in ovarian cancer.

Degree: PhD, Biology, 2014, Georgia Tech

 Ovarian cancer results from the dysregulation, in normal ovarian epithelial cells, of genes responsible for the control of critical biological processes. Since their discovery 20… (more)

Subjects/Keywords: mRNA; Ovarian cancer; MicroRNAs; Genes; Networks; Correlation

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APA (6th Edition):

Hill, C. G. (2014). Studies in microrna function and gene dysregulation in ovarian cancer. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53086

Chicago Manual of Style (16th Edition):

Hill, Christopher G. “Studies in microrna function and gene dysregulation in ovarian cancer.” 2014. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/53086.

MLA Handbook (7th Edition):

Hill, Christopher G. “Studies in microrna function and gene dysregulation in ovarian cancer.” 2014. Web. 05 Apr 2020.

Vancouver:

Hill CG. Studies in microrna function and gene dysregulation in ovarian cancer. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/53086.

Council of Science Editors:

Hill CG. Studies in microrna function and gene dysregulation in ovarian cancer. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/53086

16. Xu, Ke. Comparative genomic and epigenomic analyses of human and non-human primate evolution.

Degree: PhD, Biology, 2013, Georgia Tech

 Primates are one of the best characterized phylogenies with vast amounts of comparative data available, including genomic sequences, gene expression, and epigenetic modifications. Thus, they… (more)

Subjects/Keywords: Adaptive evolution; Biased gene conversion; DNA methylation; Epigenomics; Functional genomics; Gene expression; Human evolution; Life history traits; Male mutation bias; Maximal segments; Positive selection

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APA (6th Edition):

Xu, K. (2013). Comparative genomic and epigenomic analyses of human and non-human primate evolution. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52935

Chicago Manual of Style (16th Edition):

Xu, Ke. “Comparative genomic and epigenomic analyses of human and non-human primate evolution.” 2013. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/52935.

MLA Handbook (7th Edition):

Xu, Ke. “Comparative genomic and epigenomic analyses of human and non-human primate evolution.” 2013. Web. 05 Apr 2020.

Vancouver:

Xu K. Comparative genomic and epigenomic analyses of human and non-human primate evolution. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/52935.

Council of Science Editors:

Xu K. Comparative genomic and epigenomic analyses of human and non-human primate evolution. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/52935

17. Luo, Chengwei. Development of algorithms for metagenomics and applications to the study of evolutionary processes that maintain microbial biodiversity.

Degree: PhD, Biology, 2012, Georgia Tech

 Understanding microbial evolution lies at the heart of microbiology and environmental sciences. Numerous studies have been dedicated to elucidating the underlying mechanisms that create microbial… (more)

Subjects/Keywords: Biodiversity; Bacterial community; Metagenomics; Microbial genomics; Microbial diversity; Microbial ecology; Bacterial diversity Genetic aspects; Bacterial diversity

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APA (6th Edition):

Luo, C. (2012). Development of algorithms for metagenomics and applications to the study of evolutionary processes that maintain microbial biodiversity. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/47730

Chicago Manual of Style (16th Edition):

Luo, Chengwei. “Development of algorithms for metagenomics and applications to the study of evolutionary processes that maintain microbial biodiversity.” 2012. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/47730.

MLA Handbook (7th Edition):

Luo, Chengwei. “Development of algorithms for metagenomics and applications to the study of evolutionary processes that maintain microbial biodiversity.” 2012. Web. 05 Apr 2020.

Vancouver:

Luo C. Development of algorithms for metagenomics and applications to the study of evolutionary processes that maintain microbial biodiversity. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/47730.

Council of Science Editors:

Luo C. Development of algorithms for metagenomics and applications to the study of evolutionary processes that maintain microbial biodiversity. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/47730

18. Shahab, Shubin. Microrna and messenger rna interactions in ovarian cancer.

Degree: PhD, Biology, 2011, Georgia Tech

 Regulation of gene expression is a complex process in mammalian cells with many levels of control. In recent years non-coding RNAs in the form of… (more)

Subjects/Keywords: Ovarian cancer; MiRNA; MiRNA-mRNA; Systems biology; MiRNA-miRNA; RNA; Gene therapy; Ovaries Tumors; Cancer

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APA (6th Edition):

Shahab, S. (2011). Microrna and messenger rna interactions in ovarian cancer. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/44753

Chicago Manual of Style (16th Edition):

Shahab, Shubin. “Microrna and messenger rna interactions in ovarian cancer.” 2011. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/44753.

MLA Handbook (7th Edition):

Shahab, Shubin. “Microrna and messenger rna interactions in ovarian cancer.” 2011. Web. 05 Apr 2020.

Vancouver:

Shahab S. Microrna and messenger rna interactions in ovarian cancer. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/44753.

Council of Science Editors:

Shahab S. Microrna and messenger rna interactions in ovarian cancer. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/44753

19. De Leon, Natasha Isabel. Microbes in the atmosphere: prevalence, species composition, and relevance to cloud formatio.

Degree: PhD, Biology, 2015, Georgia Tech

 The composition and prevalence of microorganisms in the upper troposphere and their role in aerosol-cloud-precipitation interactions represent important, unresolved questions for biological and atmospheric sciences.… (more)

Subjects/Keywords: aerobiology; microbes; clouds; hygroscopicity

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APA (6th Edition):

De Leon, N. I. (2015). Microbes in the atmosphere: prevalence, species composition, and relevance to cloud formatio. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55517

Chicago Manual of Style (16th Edition):

De Leon, Natasha Isabel. “Microbes in the atmosphere: prevalence, species composition, and relevance to cloud formatio.” 2015. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/55517.

MLA Handbook (7th Edition):

De Leon, Natasha Isabel. “Microbes in the atmosphere: prevalence, species composition, and relevance to cloud formatio.” 2015. Web. 05 Apr 2020.

Vancouver:

De Leon NI. Microbes in the atmosphere: prevalence, species composition, and relevance to cloud formatio. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/55517.

Council of Science Editors:

De Leon NI. Microbes in the atmosphere: prevalence, species composition, and relevance to cloud formatio. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/55517

20. Wigington, Charles Harrison. Quantifying marine virus-host abundance relationships.

Degree: PhD, Biology, 2017, Georgia Tech

 Marine microbes are the most abundant cellular life forms on Earth yet we know viruses to be even more numerous than microbes. Marine microbes are… (more)

Subjects/Keywords: Viral-microbe; Macroecology; Virus to microbe ratio; Virus to bacteria ratio; Virus to prokaryote ratio

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APA (6th Edition):

Wigington, C. H. (2017). Quantifying marine virus-host abundance relationships. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59195

Chicago Manual of Style (16th Edition):

Wigington, Charles Harrison. “Quantifying marine virus-host abundance relationships.” 2017. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/59195.

MLA Handbook (7th Edition):

Wigington, Charles Harrison. “Quantifying marine virus-host abundance relationships.” 2017. Web. 05 Apr 2020.

Vancouver:

Wigington CH. Quantifying marine virus-host abundance relationships. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/59195.

Council of Science Editors:

Wigington CH. Quantifying marine virus-host abundance relationships. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59195

21. Pan, Tony C. Distributed memory building blocks for massive biological sequence analysis.

Degree: PhD, Computational Science and Engineering, 2018, Georgia Tech

 K-mer indices and de Bruijn graphs are important data structures in bioinformatics with multiple applications ranging from foundational tasks such as error correction, alignment, and… (more)

Subjects/Keywords: High performance computing; Bioinformatics; K-mer index; K-mer counting; De bruijn graph; Next generation sequencing; Parallel algorithms; Distributed memory; Distributed algorithms; SIMD vectorization; Cache friendly algorithms; MPI

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APA (6th Edition):

Pan, T. C. (2018). Distributed memory building blocks for massive biological sequence analysis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59894

Chicago Manual of Style (16th Edition):

Pan, Tony C. “Distributed memory building blocks for massive biological sequence analysis.” 2018. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/59894.

MLA Handbook (7th Edition):

Pan, Tony C. “Distributed memory building blocks for massive biological sequence analysis.” 2018. Web. 05 Apr 2020.

Vancouver:

Pan TC. Distributed memory building blocks for massive biological sequence analysis. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/59894.

Council of Science Editors:

Pan TC. Distributed memory building blocks for massive biological sequence analysis. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59894

22. Zheng, Hao. Prediction and analysis of the methylation status of CpG islands in human genome.

Degree: PhD, Electrical and Computer Engineering, 2012, Georgia Tech

 DNA methylation serves as a major epigenetic modification crucial to the normal organismal development and the onset and progression of complex diseases such as cancer.… (more)

Subjects/Keywords: Prediction; Methylation; Epigenetics; DNA Methylation; Genomics Data processing; Bioinformatics

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APA (6th Edition):

Zheng, H. (2012). Prediction and analysis of the methylation status of CpG islands in human genome. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/43631

Chicago Manual of Style (16th Edition):

Zheng, Hao. “Prediction and analysis of the methylation status of CpG islands in human genome.” 2012. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/43631.

MLA Handbook (7th Edition):

Zheng, Hao. “Prediction and analysis of the methylation status of CpG islands in human genome.” 2012. Web. 05 Apr 2020.

Vancouver:

Zheng H. Prediction and analysis of the methylation status of CpG islands in human genome. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/43631.

Council of Science Editors:

Zheng H. Prediction and analysis of the methylation status of CpG islands in human genome. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/43631

23. Loh, Yong-Hwee Eddie. Genetic variation in fast-evolving East African cichlid fishes: an evolutionary perspective.

Degree: PhD, Biology, 2011, Georgia Tech

 Cichlid fishes from the East African Rift lakes Victoria, Tanganyika and Malawi represent a preeminent example of replicated and rapid evolutionary radiation. In this single… (more)

Subjects/Keywords: Astatotilapia; Genetic differentiation; Ancestral polymorphism; Evolution; Evolution (Biology); Genetic polymorphisms; Genetics Research; Genetics

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APA (6th Edition):

Loh, Y. E. (2011). Genetic variation in fast-evolving East African cichlid fishes: an evolutionary perspective. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/41148

Chicago Manual of Style (16th Edition):

Loh, Yong-Hwee Eddie. “Genetic variation in fast-evolving East African cichlid fishes: an evolutionary perspective.” 2011. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/41148.

MLA Handbook (7th Edition):

Loh, Yong-Hwee Eddie. “Genetic variation in fast-evolving East African cichlid fishes: an evolutionary perspective.” 2011. Web. 05 Apr 2020.

Vancouver:

Loh YE. Genetic variation in fast-evolving East African cichlid fishes: an evolutionary perspective. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/41148.

Council of Science Editors:

Loh YE. Genetic variation in fast-evolving East African cichlid fishes: an evolutionary perspective. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/41148

24. Sun, Dan. Molecular analyses of avian sex chromosomes and sex chromosome-like autosomes.

Degree: PhD, Biology, 2019, Georgia Tech

 Sex chromosomes have originated multiple times throughout eukaryotes. In species with the XY sex-determination system, dosage compensation (a process that balances expression of sex-linked genes… (more)

Subjects/Keywords: Sex chromosome; Epigenetics; RNA-seq; Birds; Genomics

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APA (6th Edition):

Sun, D. (2019). Molecular analyses of avian sex chromosomes and sex chromosome-like autosomes. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61807

Chicago Manual of Style (16th Edition):

Sun, Dan. “Molecular analyses of avian sex chromosomes and sex chromosome-like autosomes.” 2019. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/61807.

MLA Handbook (7th Edition):

Sun, Dan. “Molecular analyses of avian sex chromosomes and sex chromosome-like autosomes.” 2019. Web. 05 Apr 2020.

Vancouver:

Sun D. Molecular analyses of avian sex chromosomes and sex chromosome-like autosomes. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/61807.

Council of Science Editors:

Sun D. Molecular analyses of avian sex chromosomes and sex chromosome-like autosomes. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61807

25. Dunn, Jessilyn. Genome-scale DNA methylation changes in endothelial cells by disturbed flow and its role in atherosclerosis.

Degree: PhD, Biomedical Engineering (Joint GT/Emory Department), 2015, Georgia Tech

 Atherosclerosis is an inflammatory disease of the arterial walls and is the major cause of heart attack and stroke. Atherosclerosis is localized to curves or… (more)

Subjects/Keywords: DNMT; Transcriptome; Shear stress; Disturbed flow; Atherosclerosis; HoxA5; Klf3; Endothelial cells; DNA methylome; Gene expression

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APA (6th Edition):

Dunn, J. (2015). Genome-scale DNA methylation changes in endothelial cells by disturbed flow and its role in atherosclerosis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53536

Chicago Manual of Style (16th Edition):

Dunn, Jessilyn. “Genome-scale DNA methylation changes in endothelial cells by disturbed flow and its role in atherosclerosis.” 2015. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/53536.

MLA Handbook (7th Edition):

Dunn, Jessilyn. “Genome-scale DNA methylation changes in endothelial cells by disturbed flow and its role in atherosclerosis.” 2015. Web. 05 Apr 2020.

Vancouver:

Dunn J. Genome-scale DNA methylation changes in endothelial cells by disturbed flow and its role in atherosclerosis. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/53536.

Council of Science Editors:

Dunn J. Genome-scale DNA methylation changes in endothelial cells by disturbed flow and its role in atherosclerosis. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/53536

26. Rahman, Kazi Shefaet. Molecular modeling and simulations of the conformational changes underlying channel activity in CFTR.

Degree: PhD, Biomedical Engineering (Joint GT/Emory Department), 2013, Georgia Tech

 Mutations in the gene encoding the cystic fibrosis transmembrane conductance regulator protein (CFTR) cause cystic fibrosis (CF), the most common life-shortening genetic disease among Caucasians.… (more)

Subjects/Keywords: CFTR; ABC transporters; Molecular modeling; Molecular dynamics; Homology modeling; Cystic fibrosis; Cystic fibrosis gene; ATP-binding cassette transporters; Membrane proteins

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APA (6th Edition):

Rahman, K. S. (2013). Molecular modeling and simulations of the conformational changes underlying channel activity in CFTR. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50346

Chicago Manual of Style (16th Edition):

Rahman, Kazi Shefaet. “Molecular modeling and simulations of the conformational changes underlying channel activity in CFTR.” 2013. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/50346.

MLA Handbook (7th Edition):

Rahman, Kazi Shefaet. “Molecular modeling and simulations of the conformational changes underlying channel activity in CFTR.” 2013. Web. 05 Apr 2020.

Vancouver:

Rahman KS. Molecular modeling and simulations of the conformational changes underlying channel activity in CFTR. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/50346.

Council of Science Editors:

Rahman KS. Molecular modeling and simulations of the conformational changes underlying channel activity in CFTR. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50346

27. Antonov, Ivan Valentinovich. Detection of frameshifts and improving genome annotation.

Degree: PhD, Computational Science and Engineering, 2012, Georgia Tech

 We developed a new program called GeneTack for ab initio frameshift detection in intronless protein-coding nucleotide sequences. The GeneTack program uses a hidden Markov model… (more)

Subjects/Keywords: Programmed frameshifting; Frameshifts; Pseudogenes; Indel mutations; Sequencing errors; Genomics; Markov processes

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APA (6th Edition):

Antonov, I. V. (2012). Detection of frameshifts and improving genome annotation. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/45923

Chicago Manual of Style (16th Edition):

Antonov, Ivan Valentinovich. “Detection of frameshifts and improving genome annotation.” 2012. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/45923.

MLA Handbook (7th Edition):

Antonov, Ivan Valentinovich. “Detection of frameshifts and improving genome annotation.” 2012. Web. 05 Apr 2020.

Vancouver:

Antonov IV. Detection of frameshifts and improving genome annotation. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/45923.

Council of Science Editors:

Antonov IV. Detection of frameshifts and improving genome annotation. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/45923

28. Nihalani, Rahul. Techniques to improve genome assembly quality.

Degree: PhD, Computational Science and Engineering, 2019, Georgia Tech

 De-novo genome assembly is an important problem in the field of genomics. Discovering and analysing genomes of different species has numerous applications. For humans, it… (more)

Subjects/Keywords: Genome assembly; High performance computing

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APA (6th Edition):

Nihalani, R. (2019). Techniques to improve genome assembly quality. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61272

Chicago Manual of Style (16th Edition):

Nihalani, Rahul. “Techniques to improve genome assembly quality.” 2019. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/61272.

MLA Handbook (7th Edition):

Nihalani, Rahul. “Techniques to improve genome assembly quality.” 2019. Web. 05 Apr 2020.

Vancouver:

Nihalani R. Techniques to improve genome assembly quality. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/61272.

Council of Science Editors:

Nihalani R. Techniques to improve genome assembly quality. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61272


Georgia Tech

29. Zhu, Wenhan. Improvement of ab initio methods of gene prediction in genomic and metagenomic sequences.

Degree: PhD, Biology, 2010, Georgia Tech

 A metagenome originated from a shotgun sequencing of a microbial community is a heterogeneous mixture of rather short sequences. A vast majority of microbial species… (more)

Subjects/Keywords: Codon usage; Hidden Markov model; Gene prediction; GeneMark; Metagenomics; Gene finding; Markov processes; Genetics

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APA (6th Edition):

Zhu, W. (2010). Improvement of ab initio methods of gene prediction in genomic and metagenomic sequences. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/33869

Chicago Manual of Style (16th Edition):

Zhu, Wenhan. “Improvement of ab initio methods of gene prediction in genomic and metagenomic sequences.” 2010. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/33869.

MLA Handbook (7th Edition):

Zhu, Wenhan. “Improvement of ab initio methods of gene prediction in genomic and metagenomic sequences.” 2010. Web. 05 Apr 2020.

Vancouver:

Zhu W. Improvement of ab initio methods of gene prediction in genomic and metagenomic sequences. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/33869.

Council of Science Editors:

Zhu W. Improvement of ab initio methods of gene prediction in genomic and metagenomic sequences. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/33869


Georgia Tech

30. Wróblewska, Liliana. Refinement of reduced protein models with all-atom force fields.

Degree: PhD, Biology, 2007, Georgia Tech

 The goal of the following thesis research was to develop a systematic approach for the refinement of low-resolution protein models, as a part of the… (more)

Subjects/Keywords: Force field optimization; Decoy scoring; Protein structure prediction; Protein model refinement; Proteins Analysis; Amino acids Analysis; Computational biology; Proteins Structure

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APA (6th Edition):

Wróblewska, L. (2007). Refinement of reduced protein models with all-atom force fields. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/26606

Chicago Manual of Style (16th Edition):

Wróblewska, Liliana. “Refinement of reduced protein models with all-atom force fields.” 2007. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/26606.

MLA Handbook (7th Edition):

Wróblewska, Liliana. “Refinement of reduced protein models with all-atom force fields.” 2007. Web. 05 Apr 2020.

Vancouver:

Wróblewska L. Refinement of reduced protein models with all-atom force fields. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/26606.

Council of Science Editors:

Wróblewska L. Refinement of reduced protein models with all-atom force fields. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/26606

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