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You searched for subject:(Genomics Data processing). Showing records 1 – 30 of 40 total matches.

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University of Hong Kong

1. Xu, Feng. Computational methodologies for genomics and proteomics data analysis.

Degree: PhD, 2015, University of Hong Kong

With the rapid development of next generation sequencing technology, comprehensive studies of biological systems have accumulated a large amount of high-throughput OMICs data, including genomics,… (more)

Subjects/Keywords: Genomics - Data processing; Proteomics - Data processing

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APA (6th Edition):

Xu, F. (2015). Computational methodologies for genomics and proteomics data analysis. (Doctoral Dissertation). University of Hong Kong. Retrieved from Xu, F. [徐峰]. (2015). Computational methodologies for genomics and proteomics data analysis. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5689286 ; http://dx.doi.org/10.5353/th_b5689286 ; http://hdl.handle.net/10722/222354

Chicago Manual of Style (16th Edition):

Xu, Feng. “Computational methodologies for genomics and proteomics data analysis.” 2015. Doctoral Dissertation, University of Hong Kong. Accessed September 15, 2019. Xu, F. [徐峰]. (2015). Computational methodologies for genomics and proteomics data analysis. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5689286 ; http://dx.doi.org/10.5353/th_b5689286 ; http://hdl.handle.net/10722/222354.

MLA Handbook (7th Edition):

Xu, Feng. “Computational methodologies for genomics and proteomics data analysis.” 2015. Web. 15 Sep 2019.

Vancouver:

Xu F. Computational methodologies for genomics and proteomics data analysis. [Internet] [Doctoral dissertation]. University of Hong Kong; 2015. [cited 2019 Sep 15]. Available from: Xu, F. [徐峰]. (2015). Computational methodologies for genomics and proteomics data analysis. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5689286 ; http://dx.doi.org/10.5353/th_b5689286 ; http://hdl.handle.net/10722/222354.

Council of Science Editors:

Xu F. Computational methodologies for genomics and proteomics data analysis. [Doctoral Dissertation]. University of Hong Kong; 2015. Available from: Xu, F. [徐峰]. (2015). Computational methodologies for genomics and proteomics data analysis. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5689286 ; http://dx.doi.org/10.5353/th_b5689286 ; http://hdl.handle.net/10722/222354


Rutgers University

2. Zhou, Lisheng, 1989-. A statistical method for genotypic association that is robust to sequencing misclassification.

Degree: PhD, Microbiology and Molecular Genetics, 2017, Rutgers University

In analyzing human genetic disorders, association analysis is one of the most commonly used approaches. However, there are challenges with association analysis, including differential misclassification… (more)

Subjects/Keywords: Genomics – Data processing; Computational biology

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APA (6th Edition):

Zhou, Lisheng, 1. (2017). A statistical method for genotypic association that is robust to sequencing misclassification. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/54057/

Chicago Manual of Style (16th Edition):

Zhou, Lisheng, 1989-. “A statistical method for genotypic association that is robust to sequencing misclassification.” 2017. Doctoral Dissertation, Rutgers University. Accessed September 15, 2019. https://rucore.libraries.rutgers.edu/rutgers-lib/54057/.

MLA Handbook (7th Edition):

Zhou, Lisheng, 1989-. “A statistical method for genotypic association that is robust to sequencing misclassification.” 2017. Web. 15 Sep 2019.

Vancouver:

Zhou, Lisheng 1. A statistical method for genotypic association that is robust to sequencing misclassification. [Internet] [Doctoral dissertation]. Rutgers University; 2017. [cited 2019 Sep 15]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/54057/.

Council of Science Editors:

Zhou, Lisheng 1. A statistical method for genotypic association that is robust to sequencing misclassification. [Doctoral Dissertation]. Rutgers University; 2017. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/54057/


University of Hong Kong

3. 朱信杰; Zhu, Xinjie. START : a parallel signal track analytical research tool for flexible and efficient analysis of genomic data.

Degree: PhD, 2015, University of Hong Kong

Signal Track Analytical Research Tool (START), is a parallel system for analyzing large-scale genomic data. Currently, genomic data analyses are usually performed by using custom… (more)

Subjects/Keywords: Parallel programming (Computer science); Genomics - Data processing

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APA (6th Edition):

朱信杰; Zhu, X. (2015). START : a parallel signal track analytical research tool for flexible and efficient analysis of genomic data. (Doctoral Dissertation). University of Hong Kong. Retrieved from Zhu, X. [朱信杰]. (2015). START : a parallel signal track analytical research tool for flexible and efficient analysis of genomic data. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5481898 ; http://hdl.handle.net/10722/211136

Chicago Manual of Style (16th Edition):

朱信杰; Zhu, Xinjie. “START : a parallel signal track analytical research tool for flexible and efficient analysis of genomic data.” 2015. Doctoral Dissertation, University of Hong Kong. Accessed September 15, 2019. Zhu, X. [朱信杰]. (2015). START : a parallel signal track analytical research tool for flexible and efficient analysis of genomic data. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5481898 ; http://hdl.handle.net/10722/211136.

MLA Handbook (7th Edition):

朱信杰; Zhu, Xinjie. “START : a parallel signal track analytical research tool for flexible and efficient analysis of genomic data.” 2015. Web. 15 Sep 2019.

Vancouver:

朱信杰; Zhu X. START : a parallel signal track analytical research tool for flexible and efficient analysis of genomic data. [Internet] [Doctoral dissertation]. University of Hong Kong; 2015. [cited 2019 Sep 15]. Available from: Zhu, X. [朱信杰]. (2015). START : a parallel signal track analytical research tool for flexible and efficient analysis of genomic data. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5481898 ; http://hdl.handle.net/10722/211136.

Council of Science Editors:

朱信杰; Zhu X. START : a parallel signal track analytical research tool for flexible and efficient analysis of genomic data. [Doctoral Dissertation]. University of Hong Kong; 2015. Available from: Zhu, X. [朱信杰]. (2015). START : a parallel signal track analytical research tool for flexible and efficient analysis of genomic data. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5481898 ; http://hdl.handle.net/10722/211136


University of Hong Kong

4. Li, Jun, Mulin. Detection, annotation and prioritization of human regulatory variants in the genetics study.

Degree: PhD, 2015, University of Hong Kong

 Interpreting human regulatory variants in the noncoding genomic region is critical to understand the regulatory mechanisms of disease pathogenesis and promote personalized medicine. Recent studies… (more)

Subjects/Keywords: Human genetics - Variation; Genomics - Data processing

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APA (6th Edition):

Li, Jun, M. (2015). Detection, annotation and prioritization of human regulatory variants in the genetics study. (Doctoral Dissertation). University of Hong Kong. Retrieved from Li, J. M. [李俊]. (2015). Detection, annotation and prioritization of human regulatory variants in the genetics study. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5689295 ; http://dx.doi.org/10.5353/th_b5689295 ; http://hdl.handle.net/10722/222367

Chicago Manual of Style (16th Edition):

Li, Jun, Mulin. “Detection, annotation and prioritization of human regulatory variants in the genetics study.” 2015. Doctoral Dissertation, University of Hong Kong. Accessed September 15, 2019. Li, J. M. [李俊]. (2015). Detection, annotation and prioritization of human regulatory variants in the genetics study. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5689295 ; http://dx.doi.org/10.5353/th_b5689295 ; http://hdl.handle.net/10722/222367.

MLA Handbook (7th Edition):

Li, Jun, Mulin. “Detection, annotation and prioritization of human regulatory variants in the genetics study.” 2015. Web. 15 Sep 2019.

Vancouver:

Li, Jun M. Detection, annotation and prioritization of human regulatory variants in the genetics study. [Internet] [Doctoral dissertation]. University of Hong Kong; 2015. [cited 2019 Sep 15]. Available from: Li, J. M. [李俊]. (2015). Detection, annotation and prioritization of human regulatory variants in the genetics study. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5689295 ; http://dx.doi.org/10.5353/th_b5689295 ; http://hdl.handle.net/10722/222367.

Council of Science Editors:

Li, Jun M. Detection, annotation and prioritization of human regulatory variants in the genetics study. [Doctoral Dissertation]. University of Hong Kong; 2015. Available from: Li, J. M. [李俊]. (2015). Detection, annotation and prioritization of human regulatory variants in the genetics study. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5689295 ; http://dx.doi.org/10.5353/th_b5689295 ; http://hdl.handle.net/10722/222367


University of Hong Kong

5. 叶林; Ye, Lin. Exploring microbial community structures and functions of activated sludge by high-throughput sequencing.

Degree: PhD, 2012, University of Hong Kong

 To investigate the diversities and abundances of nitrifiers and to apply the highthroughput sequencing technologies to analyze the overall microbial community structures and functions in… (more)

Subjects/Keywords: Microbial genomics - Data processing.; Sequence alignment (Bioinformatics)

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APA (6th Edition):

叶林; Ye, L. (2012). Exploring microbial community structures and functions of activated sludge by high-throughput sequencing. (Doctoral Dissertation). University of Hong Kong. Retrieved from Ye, L. [叶林]. (2012). Exploring microbial community structures and functions of activated sludge by high-throughput sequencing. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4807964 ; http://dx.doi.org/10.5353/th_b4807964 ; http://hdl.handle.net/10722/184237

Chicago Manual of Style (16th Edition):

叶林; Ye, Lin. “Exploring microbial community structures and functions of activated sludge by high-throughput sequencing.” 2012. Doctoral Dissertation, University of Hong Kong. Accessed September 15, 2019. Ye, L. [叶林]. (2012). Exploring microbial community structures and functions of activated sludge by high-throughput sequencing. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4807964 ; http://dx.doi.org/10.5353/th_b4807964 ; http://hdl.handle.net/10722/184237.

MLA Handbook (7th Edition):

叶林; Ye, Lin. “Exploring microbial community structures and functions of activated sludge by high-throughput sequencing.” 2012. Web. 15 Sep 2019.

Vancouver:

叶林; Ye L. Exploring microbial community structures and functions of activated sludge by high-throughput sequencing. [Internet] [Doctoral dissertation]. University of Hong Kong; 2012. [cited 2019 Sep 15]. Available from: Ye, L. [叶林]. (2012). Exploring microbial community structures and functions of activated sludge by high-throughput sequencing. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4807964 ; http://dx.doi.org/10.5353/th_b4807964 ; http://hdl.handle.net/10722/184237.

Council of Science Editors:

叶林; Ye L. Exploring microbial community structures and functions of activated sludge by high-throughput sequencing. [Doctoral Dissertation]. University of Hong Kong; 2012. Available from: Ye, L. [叶林]. (2012). Exploring microbial community structures and functions of activated sludge by high-throughput sequencing. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4807964 ; http://dx.doi.org/10.5353/th_b4807964 ; http://hdl.handle.net/10722/184237


Ryerson University

6. Manafi, Shirin. A two-stage normalization method for robust differential expression analysis in microarray experiments.

Degree: 2014, Ryerson University

 In this research, we introduce an approach to improve the reliability of genetic data analysis. Consistency of the results obtained from microarray data analysis strongly… (more)

Subjects/Keywords: DNA microarrays  – Data processing.; Genomics  – Statistical methods.

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APA (6th Edition):

Manafi, S. (2014). A two-stage normalization method for robust differential expression analysis in microarray experiments. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A3367

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Manafi, Shirin. “A two-stage normalization method for robust differential expression analysis in microarray experiments.” 2014. Thesis, Ryerson University. Accessed September 15, 2019. https://digital.library.ryerson.ca/islandora/object/RULA%3A3367.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Manafi, Shirin. “A two-stage normalization method for robust differential expression analysis in microarray experiments.” 2014. Web. 15 Sep 2019.

Vancouver:

Manafi S. A two-stage normalization method for robust differential expression analysis in microarray experiments. [Internet] [Thesis]. Ryerson University; 2014. [cited 2019 Sep 15]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A3367.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Manafi S. A two-stage normalization method for robust differential expression analysis in microarray experiments. [Thesis]. Ryerson University; 2014. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A3367

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Hong Kong University of Science and Technology

7. Tan, Yuwei. Accelerating genomic sequence compression with graphics processors.

Degree: 2012, Hong Kong University of Science and Technology

 A modern sequencing instrument is able to generate hundreds of millions of short reads of genomic data on a daily basis. As a result, there… (more)

Subjects/Keywords: Graphics processing units; Computer graphics; Genomics  – Data processing; Data compression (Computer science)

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APA (6th Edition):

Tan, Y. (2012). Accelerating genomic sequence compression with graphics processors. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1180160 ; http://repository.ust.hk/ir/bitstream/1783.1-7573/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tan, Yuwei. “Accelerating genomic sequence compression with graphics processors.” 2012. Thesis, Hong Kong University of Science and Technology. Accessed September 15, 2019. https://doi.org/10.14711/thesis-b1180160 ; http://repository.ust.hk/ir/bitstream/1783.1-7573/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tan, Yuwei. “Accelerating genomic sequence compression with graphics processors.” 2012. Web. 15 Sep 2019.

Vancouver:

Tan Y. Accelerating genomic sequence compression with graphics processors. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2012. [cited 2019 Sep 15]. Available from: https://doi.org/10.14711/thesis-b1180160 ; http://repository.ust.hk/ir/bitstream/1783.1-7573/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tan Y. Accelerating genomic sequence compression with graphics processors. [Thesis]. Hong Kong University of Science and Technology; 2012. Available from: https://doi.org/10.14711/thesis-b1180160 ; http://repository.ust.hk/ir/bitstream/1783.1-7573/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Columbia University

8. Elmas, Abdulkadir. Topics in Signal Processing: applications in genomics and genetics.

Degree: 2016, Columbia University

 The information in genomic or genetic data is influenced by various complex processes and appropriate mathematical modeling is required for studying the underlying processes and… (more)

Subjects/Keywords: Signal processing; Signal processing – Statistical methods; Genetics – Data processing; Genomics – Data processing; Bioinformatics; Transcription factors; Electrical engineering

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APA (6th Edition):

Elmas, A. (2016). Topics in Signal Processing: applications in genomics and genetics. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D81Z44NP

Chicago Manual of Style (16th Edition):

Elmas, Abdulkadir. “Topics in Signal Processing: applications in genomics and genetics.” 2016. Doctoral Dissertation, Columbia University. Accessed September 15, 2019. https://doi.org/10.7916/D81Z44NP.

MLA Handbook (7th Edition):

Elmas, Abdulkadir. “Topics in Signal Processing: applications in genomics and genetics.” 2016. Web. 15 Sep 2019.

Vancouver:

Elmas A. Topics in Signal Processing: applications in genomics and genetics. [Internet] [Doctoral dissertation]. Columbia University; 2016. [cited 2019 Sep 15]. Available from: https://doi.org/10.7916/D81Z44NP.

Council of Science Editors:

Elmas A. Topics in Signal Processing: applications in genomics and genetics. [Doctoral Dissertation]. Columbia University; 2016. Available from: https://doi.org/10.7916/D81Z44NP


Northeastern University

9. Gao, Ce. Unsupervised data mining applications on high dimensional gene expression time series in toxicogenomics.

Degree: PhD, Department of Bioengineering, 2016, Northeastern University

 Toxicogenomics, the study of adverse effects caused by toxicants to human health and environment via high-throughput genomics technologies, present promising alternatives to expensive and lengthy… (more)

Subjects/Keywords: data visualization; time series analysis; toxicogenomics; Bioinformatics; Data mining; Genomics; Data processing; Gene expression; Data processing; Genetic toxicology; Information visualization

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APA (6th Edition):

Gao, C. (2016). Unsupervised data mining applications on high dimensional gene expression time series in toxicogenomics. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20194572

Chicago Manual of Style (16th Edition):

Gao, Ce. “Unsupervised data mining applications on high dimensional gene expression time series in toxicogenomics.” 2016. Doctoral Dissertation, Northeastern University. Accessed September 15, 2019. http://hdl.handle.net/2047/D20194572.

MLA Handbook (7th Edition):

Gao, Ce. “Unsupervised data mining applications on high dimensional gene expression time series in toxicogenomics.” 2016. Web. 15 Sep 2019.

Vancouver:

Gao C. Unsupervised data mining applications on high dimensional gene expression time series in toxicogenomics. [Internet] [Doctoral dissertation]. Northeastern University; 2016. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/2047/D20194572.

Council of Science Editors:

Gao C. Unsupervised data mining applications on high dimensional gene expression time series in toxicogenomics. [Doctoral Dissertation]. Northeastern University; 2016. Available from: http://hdl.handle.net/2047/D20194572


Georgia Tech

10. Karanam, Suresh Kumar. Automation of comparative genomic promoter analysis of DNA microarray datasets.

Degree: MS, Biology, 2003, Georgia Tech

Subjects/Keywords: Genomics Data processing; DNA microarrays

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APA (6th Edition):

Karanam, S. K. (2003). Automation of comparative genomic promoter analysis of DNA microarray datasets. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/5338

Chicago Manual of Style (16th Edition):

Karanam, Suresh Kumar. “Automation of comparative genomic promoter analysis of DNA microarray datasets.” 2003. Masters Thesis, Georgia Tech. Accessed September 15, 2019. http://hdl.handle.net/1853/5338.

MLA Handbook (7th Edition):

Karanam, Suresh Kumar. “Automation of comparative genomic promoter analysis of DNA microarray datasets.” 2003. Web. 15 Sep 2019.

Vancouver:

Karanam SK. Automation of comparative genomic promoter analysis of DNA microarray datasets. [Internet] [Masters thesis]. Georgia Tech; 2003. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1853/5338.

Council of Science Editors:

Karanam SK. Automation of comparative genomic promoter analysis of DNA microarray datasets. [Masters Thesis]. Georgia Tech; 2003. Available from: http://hdl.handle.net/1853/5338


Hong Kong University of Science and Technology

11. Lu, Mian. Accelerating genome sequence analysis.

Degree: 2012, Hong Kong University of Science and Technology

 Genome sequence analysis is central to today’s genomics research, and sequence alignment and Single-Nucleotide Polymorphism (SNP) detection are two fundamental tasks in the analysis. Sequence… (more)

Subjects/Keywords: Computational biology; Sequence alignment (Bioinformatics); Genomics  – Data processing; Bioinformatics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lu, M. (2012). Accelerating genome sequence analysis. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1198615 ; http://repository.ust.hk/ir/bitstream/1783.1-7734/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lu, Mian. “Accelerating genome sequence analysis.” 2012. Thesis, Hong Kong University of Science and Technology. Accessed September 15, 2019. https://doi.org/10.14711/thesis-b1198615 ; http://repository.ust.hk/ir/bitstream/1783.1-7734/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lu, Mian. “Accelerating genome sequence analysis.” 2012. Web. 15 Sep 2019.

Vancouver:

Lu M. Accelerating genome sequence analysis. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2012. [cited 2019 Sep 15]. Available from: https://doi.org/10.14711/thesis-b1198615 ; http://repository.ust.hk/ir/bitstream/1783.1-7734/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lu M. Accelerating genome sequence analysis. [Thesis]. Hong Kong University of Science and Technology; 2012. Available from: https://doi.org/10.14711/thesis-b1198615 ; http://repository.ust.hk/ir/bitstream/1783.1-7734/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Columbia University

12. Palmer, Cameron Douglas. Developing Statistical Methods for Incorporating Complexity in Association Studies.

Degree: 2017, Columbia University

 Genome-wide association studies (GWAS) have identified thousands of genetic variants associated with hundreds of human traits. Yet the common variant model tested by traditional GWAS… (more)

Subjects/Keywords: Bioinformatics; Human genome – Research; Statistics; Genomics – Statistical methods; Research – Data processing

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APA (6th Edition):

Palmer, C. D. (2017). Developing Statistical Methods for Incorporating Complexity in Association Studies. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8SQ9BX2

Chicago Manual of Style (16th Edition):

Palmer, Cameron Douglas. “Developing Statistical Methods for Incorporating Complexity in Association Studies.” 2017. Doctoral Dissertation, Columbia University. Accessed September 15, 2019. https://doi.org/10.7916/D8SQ9BX2.

MLA Handbook (7th Edition):

Palmer, Cameron Douglas. “Developing Statistical Methods for Incorporating Complexity in Association Studies.” 2017. Web. 15 Sep 2019.

Vancouver:

Palmer CD. Developing Statistical Methods for Incorporating Complexity in Association Studies. [Internet] [Doctoral dissertation]. Columbia University; 2017. [cited 2019 Sep 15]. Available from: https://doi.org/10.7916/D8SQ9BX2.

Council of Science Editors:

Palmer CD. Developing Statistical Methods for Incorporating Complexity in Association Studies. [Doctoral Dissertation]. Columbia University; 2017. Available from: https://doi.org/10.7916/D8SQ9BX2


Columbia University

13. Drill, Esther. Statistical Methods for Integrated Cancer Genomic Data Using a Joint Latent Variable Model.

Degree: 2018, Columbia University

 Inspired by the TCGA (The Cancer Genome Atlas), we explore multimodal genomic datasets with integrative methods using a joint latent variable approach. We use iCluster+,… (more)

Subjects/Keywords: Biometry; Statistics; Genomics – Data processing; Latent structure analysis

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APA (6th Edition):

Drill, E. (2018). Statistical Methods for Integrated Cancer Genomic Data Using a Joint Latent Variable Model. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D85M7P7V

Chicago Manual of Style (16th Edition):

Drill, Esther. “Statistical Methods for Integrated Cancer Genomic Data Using a Joint Latent Variable Model.” 2018. Doctoral Dissertation, Columbia University. Accessed September 15, 2019. https://doi.org/10.7916/D85M7P7V.

MLA Handbook (7th Edition):

Drill, Esther. “Statistical Methods for Integrated Cancer Genomic Data Using a Joint Latent Variable Model.” 2018. Web. 15 Sep 2019.

Vancouver:

Drill E. Statistical Methods for Integrated Cancer Genomic Data Using a Joint Latent Variable Model. [Internet] [Doctoral dissertation]. Columbia University; 2018. [cited 2019 Sep 15]. Available from: https://doi.org/10.7916/D85M7P7V.

Council of Science Editors:

Drill E. Statistical Methods for Integrated Cancer Genomic Data Using a Joint Latent Variable Model. [Doctoral Dissertation]. Columbia University; 2018. Available from: https://doi.org/10.7916/D85M7P7V


University of North Texas

14. Danks, Jacob R. Algorithm Optimizations in Genomic Analysis Using Entropic Dissection.

Degree: 2015, University of North Texas

 In recent years, the collection of genomic data has skyrocketed and databases of genomic data are growing at a faster rate than ever before. Although… (more)

Subjects/Keywords: Genomic analysis; parallel processing; Genomics  – Data processing.; Bioinformatics.; Computational biology.; Computer algorithms.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Danks, J. R. (2015). Algorithm Optimizations in Genomic Analysis Using Entropic Dissection. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc804921/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Danks, Jacob R. “Algorithm Optimizations in Genomic Analysis Using Entropic Dissection.” 2015. Thesis, University of North Texas. Accessed September 15, 2019. https://digital.library.unt.edu/ark:/67531/metadc804921/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Danks, Jacob R. “Algorithm Optimizations in Genomic Analysis Using Entropic Dissection.” 2015. Web. 15 Sep 2019.

Vancouver:

Danks JR. Algorithm Optimizations in Genomic Analysis Using Entropic Dissection. [Internet] [Thesis]. University of North Texas; 2015. [cited 2019 Sep 15]. Available from: https://digital.library.unt.edu/ark:/67531/metadc804921/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Danks JR. Algorithm Optimizations in Genomic Analysis Using Entropic Dissection. [Thesis]. University of North Texas; 2015. Available from: https://digital.library.unt.edu/ark:/67531/metadc804921/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Hong Kong

15. Ao, Sio-iong. Data mining algorithms for genomic analysis.

Degree: PhD, 2007, University of Hong Kong

published_or_final_version

abstract

Mathematics

Doctoral

Doctor of Philosophy

Advisors/Committee Members: Ching, WK.

Subjects/Keywords: Algorithms.; Data mining.; Genomics - Data processing.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ao, S. (2007). Data mining algorithms for genomic analysis. (Doctoral Dissertation). University of Hong Kong. Retrieved from Ao, S. [區小勇]. (2007). Data mining algorithms for genomic analysis. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3831982 ; http://dx.doi.org/10.5353/th_b3831982 ; http://hdl.handle.net/10722/51863

Chicago Manual of Style (16th Edition):

Ao, Sio-iong. “Data mining algorithms for genomic analysis.” 2007. Doctoral Dissertation, University of Hong Kong. Accessed September 15, 2019. Ao, S. [區小勇]. (2007). Data mining algorithms for genomic analysis. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3831982 ; http://dx.doi.org/10.5353/th_b3831982 ; http://hdl.handle.net/10722/51863.

MLA Handbook (7th Edition):

Ao, Sio-iong. “Data mining algorithms for genomic analysis.” 2007. Web. 15 Sep 2019.

Vancouver:

Ao S. Data mining algorithms for genomic analysis. [Internet] [Doctoral dissertation]. University of Hong Kong; 2007. [cited 2019 Sep 15]. Available from: Ao, S. [區小勇]. (2007). Data mining algorithms for genomic analysis. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3831982 ; http://dx.doi.org/10.5353/th_b3831982 ; http://hdl.handle.net/10722/51863.

Council of Science Editors:

Ao S. Data mining algorithms for genomic analysis. [Doctoral Dissertation]. University of Hong Kong; 2007. Available from: Ao, S. [區小勇]. (2007). Data mining algorithms for genomic analysis. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3831982 ; http://dx.doi.org/10.5353/th_b3831982 ; http://hdl.handle.net/10722/51863


Florida Atlantic University

16. Delgado, Ana Paula. Bioinformatics mining of the dark matter proteome for cancer targets discovery.

Degree: MS, 2015, Florida Atlantic University

Summary: Mining the human genome for therapeutic target(s) discovery promises novel outcome. Over half of the proteins in the human genome however, remain uncharacterized. These… (more)

Subjects/Keywords: Bioinformatics; Cancer  – Genetic aspects; Drug development  – Data processing; Genomics; Medical informatics; Proteomes  – Data processing; Tumors  – Immunological aspects

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APA (6th Edition):

Delgado, A. P. (2015). Bioinformatics mining of the dark matter proteome for cancer targets discovery. (Masters Thesis). Florida Atlantic University. Retrieved from http://purl.flvc.org/fau/fd/FA00004361 ; (URL) http://purl.flvc.org/fau/fd/FA00004361

Chicago Manual of Style (16th Edition):

Delgado, Ana Paula. “Bioinformatics mining of the dark matter proteome for cancer targets discovery.” 2015. Masters Thesis, Florida Atlantic University. Accessed September 15, 2019. http://purl.flvc.org/fau/fd/FA00004361 ; (URL) http://purl.flvc.org/fau/fd/FA00004361.

MLA Handbook (7th Edition):

Delgado, Ana Paula. “Bioinformatics mining of the dark matter proteome for cancer targets discovery.” 2015. Web. 15 Sep 2019.

Vancouver:

Delgado AP. Bioinformatics mining of the dark matter proteome for cancer targets discovery. [Internet] [Masters thesis]. Florida Atlantic University; 2015. [cited 2019 Sep 15]. Available from: http://purl.flvc.org/fau/fd/FA00004361 ; (URL) http://purl.flvc.org/fau/fd/FA00004361.

Council of Science Editors:

Delgado AP. Bioinformatics mining of the dark matter proteome for cancer targets discovery. [Masters Thesis]. Florida Atlantic University; 2015. Available from: http://purl.flvc.org/fau/fd/FA00004361 ; (URL) http://purl.flvc.org/fau/fd/FA00004361


University of North Carolina – Wilmington

17. Liu, Yuan. Mixed anova model analysis of microarray experiments with locally polled error.

Degree: 2009, University of North Carolina – Wilmington

 The determination of a list of di®erentially expressed genes is a basic objective in many cDNA microarray experiments. Combining information across genes in the statistical… (more)

Subjects/Keywords: Gene expression  – Data processing; Genomics  – Data processing; Genomics  – Mathematical models

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APA (6th Edition):

Liu, Y. (2009). Mixed anova model analysis of microarray experiments with locally polled error. (Masters Thesis). University of North Carolina – Wilmington. Retrieved from http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=1416

Chicago Manual of Style (16th Edition):

Liu, Yuan. “Mixed anova model analysis of microarray experiments with locally polled error.” 2009. Masters Thesis, University of North Carolina – Wilmington. Accessed September 15, 2019. http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=1416.

MLA Handbook (7th Edition):

Liu, Yuan. “Mixed anova model analysis of microarray experiments with locally polled error.” 2009. Web. 15 Sep 2019.

Vancouver:

Liu Y. Mixed anova model analysis of microarray experiments with locally polled error. [Internet] [Masters thesis]. University of North Carolina – Wilmington; 2009. [cited 2019 Sep 15]. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=1416.

Council of Science Editors:

Liu Y. Mixed anova model analysis of microarray experiments with locally polled error. [Masters Thesis]. University of North Carolina – Wilmington; 2009. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=1416


University of North Carolina – Wilmington

18. Wu, Meng. Data mining cDNA microarray experiment with a GEE approach.

Degree: 2009, University of North Carolina – Wilmington

 The use of microarray technology provides access to the simultaneous expression of thousands of genes and is revolutionizing the scientic community of functional genomics. This… (more)

Subjects/Keywords: Genomics  – Data processing; Genomics  – Mathematical models; Gene expression  – Data processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wu, M. (2009). Data mining cDNA microarray experiment with a GEE approach. (Masters Thesis). University of North Carolina – Wilmington. Retrieved from http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=1417

Chicago Manual of Style (16th Edition):

Wu, Meng. “Data mining cDNA microarray experiment with a GEE approach.” 2009. Masters Thesis, University of North Carolina – Wilmington. Accessed September 15, 2019. http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=1417.

MLA Handbook (7th Edition):

Wu, Meng. “Data mining cDNA microarray experiment with a GEE approach.” 2009. Web. 15 Sep 2019.

Vancouver:

Wu M. Data mining cDNA microarray experiment with a GEE approach. [Internet] [Masters thesis]. University of North Carolina – Wilmington; 2009. [cited 2019 Sep 15]. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=1417.

Council of Science Editors:

Wu M. Data mining cDNA microarray experiment with a GEE approach. [Masters Thesis]. University of North Carolina – Wilmington; 2009. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=1417


Columbia University

19. Fan, Ruixue. On Identifying Rare Variants for Complex Human Traits.

Degree: 2015, Columbia University

 This thesis focuses on developing novel statistical tests for rare variants association analysis incorporating both marginal effects and interaction effects among rare variants. Compared with… (more)

Subjects/Keywords: Regression analysis; Genetics – Statistical methods; Genomics – Data processing; Human genetics – Variation; Statistics; Bioinformatics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Fan, R. (2015). On Identifying Rare Variants for Complex Human Traits. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8N29VT4

Chicago Manual of Style (16th Edition):

Fan, Ruixue. “On Identifying Rare Variants for Complex Human Traits.” 2015. Doctoral Dissertation, Columbia University. Accessed September 15, 2019. https://doi.org/10.7916/D8N29VT4.

MLA Handbook (7th Edition):

Fan, Ruixue. “On Identifying Rare Variants for Complex Human Traits.” 2015. Web. 15 Sep 2019.

Vancouver:

Fan R. On Identifying Rare Variants for Complex Human Traits. [Internet] [Doctoral dissertation]. Columbia University; 2015. [cited 2019 Sep 15]. Available from: https://doi.org/10.7916/D8N29VT4.

Council of Science Editors:

Fan R. On Identifying Rare Variants for Complex Human Traits. [Doctoral Dissertation]. Columbia University; 2015. Available from: https://doi.org/10.7916/D8N29VT4


Universidade Federal de Mato Grosso do Sul

20. Asseiss Neto, Habib. Classificação de Sequências Metagenômicas .

Degree: 2012, Universidade Federal de Mato Grosso do Sul

 Este trabalho discute alguns m etodos para o problema de classi ca c~ao de sequ^encias metagen^omicas, e apresenta um m etodo alternativo baseado em compara… (more)

Subjects/Keywords: Bioinformática; Bioinformatics; Biologia Molecular - processamento de dados; Molecular Biology - data processing; Genética Molecular - processamento de dados; Molecular Genetics - data processing; Engenharia Genética; Genetic Engineering; Genômica; Genomics

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APA (6th Edition):

Asseiss Neto, H. (2012). Classificação de Sequências Metagenômicas . (Thesis). Universidade Federal de Mato Grosso do Sul. Retrieved from http://repositorio.cbc.ufms.br:8080/jspui/handle/123456789/1647

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Asseiss Neto, Habib. “Classificação de Sequências Metagenômicas .” 2012. Thesis, Universidade Federal de Mato Grosso do Sul. Accessed September 15, 2019. http://repositorio.cbc.ufms.br:8080/jspui/handle/123456789/1647.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Asseiss Neto, Habib. “Classificação de Sequências Metagenômicas .” 2012. Web. 15 Sep 2019.

Vancouver:

Asseiss Neto H. Classificação de Sequências Metagenômicas . [Internet] [Thesis]. Universidade Federal de Mato Grosso do Sul; 2012. [cited 2019 Sep 15]. Available from: http://repositorio.cbc.ufms.br:8080/jspui/handle/123456789/1647.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Asseiss Neto H. Classificação de Sequências Metagenômicas . [Thesis]. Universidade Federal de Mato Grosso do Sul; 2012. Available from: http://repositorio.cbc.ufms.br:8080/jspui/handle/123456789/1647

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Hong Kong

21. Yang, Bin. A novel framework for binning environmental genomic fragments.

Degree: M. Phil., 2010, University of Hong Kong

published_or_final_version

Computer Science

Master

Master of Philosophy

Advisors/Committee Members: Chin, FYL.

Subjects/Keywords: Genomes - Data processing.; Genomics - Data processing.; Microbial ecology - Data processing.; Cluster analysis - Data processing.; Cluster analysis - Computer programs.

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APA (6th Edition):

Yang, B. (2010). A novel framework for binning environmental genomic fragments. (Masters Thesis). University of Hong Kong. Retrieved from Yang, B. [杨彬]. (2010). A novel framework for binning environmental genomic fragments. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4578934 ; http://dx.doi.org/10.5353/th_b4578934 ; http://hdl.handle.net/10722/133272

Chicago Manual of Style (16th Edition):

Yang, Bin. “A novel framework for binning environmental genomic fragments.” 2010. Masters Thesis, University of Hong Kong. Accessed September 15, 2019. Yang, B. [杨彬]. (2010). A novel framework for binning environmental genomic fragments. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4578934 ; http://dx.doi.org/10.5353/th_b4578934 ; http://hdl.handle.net/10722/133272.

MLA Handbook (7th Edition):

Yang, Bin. “A novel framework for binning environmental genomic fragments.” 2010. Web. 15 Sep 2019.

Vancouver:

Yang B. A novel framework for binning environmental genomic fragments. [Internet] [Masters thesis]. University of Hong Kong; 2010. [cited 2019 Sep 15]. Available from: Yang, B. [杨彬]. (2010). A novel framework for binning environmental genomic fragments. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4578934 ; http://dx.doi.org/10.5353/th_b4578934 ; http://hdl.handle.net/10722/133272.

Council of Science Editors:

Yang B. A novel framework for binning environmental genomic fragments. [Masters Thesis]. University of Hong Kong; 2010. Available from: Yang, B. [杨彬]. (2010). A novel framework for binning environmental genomic fragments. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4578934 ; http://dx.doi.org/10.5353/th_b4578934 ; http://hdl.handle.net/10722/133272


University of Missouri – Columbia

22. Srivastava, Gyan Prakash, 1979-. Genome scale meta analysis of microarrays for biological inferences.

Degree: 2009, University of Missouri – Columbia

 In this present era of high-throughput technologies, meta-analysis is being widely used to integrate multiple similar high throughput studies. Here we propose a novel framework… (more)

Subjects/Keywords: Genomics  – Data processing; Gene expression  – Data processing; DNA microarrays  – Data processing; Arabidopsis  – Genetics  – Data processing

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APA (6th Edition):

Srivastava, Gyan Prakash, 1. (2009). Genome scale meta analysis of microarrays for biological inferences. (Thesis). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/6841

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Srivastava, Gyan Prakash, 1979-. “Genome scale meta analysis of microarrays for biological inferences.” 2009. Thesis, University of Missouri – Columbia. Accessed September 15, 2019. https://doi.org/10.32469/10355/6841.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Srivastava, Gyan Prakash, 1979-. “Genome scale meta analysis of microarrays for biological inferences.” 2009. Web. 15 Sep 2019.

Vancouver:

Srivastava, Gyan Prakash 1. Genome scale meta analysis of microarrays for biological inferences. [Internet] [Thesis]. University of Missouri – Columbia; 2009. [cited 2019 Sep 15]. Available from: https://doi.org/10.32469/10355/6841.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Srivastava, Gyan Prakash 1. Genome scale meta analysis of microarrays for biological inferences. [Thesis]. University of Missouri – Columbia; 2009. Available from: https://doi.org/10.32469/10355/6841

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Hong Kong

23. 蔡莖.; Cai, J., James. Understanding the pathogenic fungus Penicillium marneffei: a computational genomics perspective.

Degree: PhD, 2006, University of Hong Kong

abstract

published_or_final_version

Microbiology

Doctoral

Doctor of Philosophy

Subjects/Keywords: Genomics - Data processing.; Pathogenic fungi - Genetics.; Penicillium.

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APA (6th Edition):

蔡莖.; Cai, J., J. (2006). Understanding the pathogenic fungus Penicillium marneffei: a computational genomics perspective. (Doctoral Dissertation). University of Hong Kong. Retrieved from Cai, J. J. [蔡莖]. (2006). Understanding the pathogenic fungus Penicillium marneffei : a computational genomics perspective. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3659513 ; http://dx.doi.org/10.5353/th_b3659513 ; http://hdl.handle.net/10722/52169

Chicago Manual of Style (16th Edition):

蔡莖.; Cai, J., James. “Understanding the pathogenic fungus Penicillium marneffei: a computational genomics perspective.” 2006. Doctoral Dissertation, University of Hong Kong. Accessed September 15, 2019. Cai, J. J. [蔡莖]. (2006). Understanding the pathogenic fungus Penicillium marneffei : a computational genomics perspective. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3659513 ; http://dx.doi.org/10.5353/th_b3659513 ; http://hdl.handle.net/10722/52169.

MLA Handbook (7th Edition):

蔡莖.; Cai, J., James. “Understanding the pathogenic fungus Penicillium marneffei: a computational genomics perspective.” 2006. Web. 15 Sep 2019.

Vancouver:

蔡莖.; Cai, J. J. Understanding the pathogenic fungus Penicillium marneffei: a computational genomics perspective. [Internet] [Doctoral dissertation]. University of Hong Kong; 2006. [cited 2019 Sep 15]. Available from: Cai, J. J. [蔡莖]. (2006). Understanding the pathogenic fungus Penicillium marneffei : a computational genomics perspective. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3659513 ; http://dx.doi.org/10.5353/th_b3659513 ; http://hdl.handle.net/10722/52169.

Council of Science Editors:

蔡莖.; Cai, J. J. Understanding the pathogenic fungus Penicillium marneffei: a computational genomics perspective. [Doctoral Dissertation]. University of Hong Kong; 2006. Available from: Cai, J. J. [蔡莖]. (2006). Understanding the pathogenic fungus Penicillium marneffei : a computational genomics perspective. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3659513 ; http://dx.doi.org/10.5353/th_b3659513 ; http://hdl.handle.net/10722/52169


Indian Institute of Science

24. Krishnadev, O. Inferences On The Function Of Proteins And Protein-Protein Interactions Using Large Scale Sequence And Structure Analysis.

Degree: 2005, Indian Institute of Science

Subjects/Keywords: Proteins; Protein-Protein Interaction; Proteins - Data Processing; Genomics; Bioinformatics; SUPFAM; Genomic Sequences; Biochemistry

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APA (6th Edition):

Krishnadev, O. (2005). Inferences On The Function Of Proteins And Protein-Protein Interactions Using Large Scale Sequence And Structure Analysis. (Thesis). Indian Institute of Science. Retrieved from http://hdl.handle.net/2005/1503

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Krishnadev, O. “Inferences On The Function Of Proteins And Protein-Protein Interactions Using Large Scale Sequence And Structure Analysis.” 2005. Thesis, Indian Institute of Science. Accessed September 15, 2019. http://hdl.handle.net/2005/1503.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Krishnadev, O. “Inferences On The Function Of Proteins And Protein-Protein Interactions Using Large Scale Sequence And Structure Analysis.” 2005. Web. 15 Sep 2019.

Vancouver:

Krishnadev O. Inferences On The Function Of Proteins And Protein-Protein Interactions Using Large Scale Sequence And Structure Analysis. [Internet] [Thesis]. Indian Institute of Science; 2005. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/2005/1503.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Krishnadev O. Inferences On The Function Of Proteins And Protein-Protein Interactions Using Large Scale Sequence And Structure Analysis. [Thesis]. Indian Institute of Science; 2005. Available from: http://hdl.handle.net/2005/1503

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Indian Institute of Science

25. Krishnadev, O. Inferences On The Function Of Proteins And Protein-Protein Interactions Using Large Scale Sequence And Structure Analysis.

Degree: 2005, Indian Institute of Science

Subjects/Keywords: Proteins; Protein-Protein Interaction; Proteins - Data Processing; Genomics; Bioinformatics; SUPFAM; Genomic Sequences; Biochemistry

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APA (6th Edition):

Krishnadev, O. (2005). Inferences On The Function Of Proteins And Protein-Protein Interactions Using Large Scale Sequence And Structure Analysis. (Thesis). Indian Institute of Science. Retrieved from http://etd.iisc.ernet.in/handle/2005/1503 ; http://etd.ncsi.iisc.ernet.in/abstracts/1924/G18898-Abs.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Krishnadev, O. “Inferences On The Function Of Proteins And Protein-Protein Interactions Using Large Scale Sequence And Structure Analysis.” 2005. Thesis, Indian Institute of Science. Accessed September 15, 2019. http://etd.iisc.ernet.in/handle/2005/1503 ; http://etd.ncsi.iisc.ernet.in/abstracts/1924/G18898-Abs.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Krishnadev, O. “Inferences On The Function Of Proteins And Protein-Protein Interactions Using Large Scale Sequence And Structure Analysis.” 2005. Web. 15 Sep 2019.

Vancouver:

Krishnadev O. Inferences On The Function Of Proteins And Protein-Protein Interactions Using Large Scale Sequence And Structure Analysis. [Internet] [Thesis]. Indian Institute of Science; 2005. [cited 2019 Sep 15]. Available from: http://etd.iisc.ernet.in/handle/2005/1503 ; http://etd.ncsi.iisc.ernet.in/abstracts/1924/G18898-Abs.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Krishnadev O. Inferences On The Function Of Proteins And Protein-Protein Interactions Using Large Scale Sequence And Structure Analysis. [Thesis]. Indian Institute of Science; 2005. Available from: http://etd.iisc.ernet.in/handle/2005/1503 ; http://etd.ncsi.iisc.ernet.in/abstracts/1924/G18898-Abs.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

26. 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

…and construct useful models of DNA methylation based on existing data, and can therefore be… …benchmark data to calibrate DNA methylation profiling equipment and to consolidate profiling… …evaluated using the CD4 lymphocyte data of Human Epigenome Project (HEP) data set based… …94%, and sensitivity of 92-93%. And, when evaluated using the aberrant methylation data… …methylation patterns, to provide valuable information when the DNA methylation data are unavailable… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

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 September 15, 2019. 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. 15 Sep 2019.

Vancouver:

Zheng H. Prediction and analysis of the methylation status of CpG islands in human genome. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Sep 15]. 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


Hong Kong University of Science and Technology

27. Siu, Kim-Man. A computational estimation of errors in model genomes using exactly duplicated DNA sequences.

Degree: 2005, Hong Kong University of Science and Technology

 Genomes of several eukaryotic model organisms have now been finished, among them yeast (Saccharomyces cerevisiae), worm (Caenorhabditis elegans), fly (Drosophila melanogasta), mustard weed (Arabidopsis thaliana),… (more)

Subjects/Keywords: Genomics  – Mathematical models; Nucleotide sequence  – Mathematical models; Nucleotide sequence  – Data processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Siu, K. (2005). A computational estimation of errors in model genomes using exactly duplicated DNA sequences. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b909288 ; http://repository.ust.hk/ir/bitstream/1783.1-5155/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Siu, Kim-Man. “A computational estimation of errors in model genomes using exactly duplicated DNA sequences.” 2005. Thesis, Hong Kong University of Science and Technology. Accessed September 15, 2019. https://doi.org/10.14711/thesis-b909288 ; http://repository.ust.hk/ir/bitstream/1783.1-5155/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Siu, Kim-Man. “A computational estimation of errors in model genomes using exactly duplicated DNA sequences.” 2005. Web. 15 Sep 2019.

Vancouver:

Siu K. A computational estimation of errors in model genomes using exactly duplicated DNA sequences. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2005. [cited 2019 Sep 15]. Available from: https://doi.org/10.14711/thesis-b909288 ; http://repository.ust.hk/ir/bitstream/1783.1-5155/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Siu K. A computational estimation of errors in model genomes using exactly duplicated DNA sequences. [Thesis]. Hong Kong University of Science and Technology; 2005. Available from: https://doi.org/10.14711/thesis-b909288 ; http://repository.ust.hk/ir/bitstream/1783.1-5155/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of the Western Cape

28. Boardman, Anelda Philine. Assessment of genome visualization tools relevant to HIV genome research: development of a genome browser prototype .

Degree: 2004, University of the Western Cape

 Over the past two decades of HIV research, effective vaccine candidates have been elusive. Traditionally viral research has been characterized by a gene -by-gene approach,… (more)

Subjects/Keywords: AIDS (Disease); Genetic aspects; HIV (Viruses); Data processing; Computer network resources; Genomics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Boardman, A. P. (2004). Assessment of genome visualization tools relevant to HIV genome research: development of a genome browser prototype . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/2016

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Boardman, Anelda Philine. “Assessment of genome visualization tools relevant to HIV genome research: development of a genome browser prototype .” 2004. Thesis, University of the Western Cape. Accessed September 15, 2019. http://hdl.handle.net/11394/2016.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Boardman, Anelda Philine. “Assessment of genome visualization tools relevant to HIV genome research: development of a genome browser prototype .” 2004. Web. 15 Sep 2019.

Vancouver:

Boardman AP. Assessment of genome visualization tools relevant to HIV genome research: development of a genome browser prototype . [Internet] [Thesis]. University of the Western Cape; 2004. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/11394/2016.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Boardman AP. Assessment of genome visualization tools relevant to HIV genome research: development of a genome browser prototype . [Thesis]. University of the Western Cape; 2004. Available from: http://hdl.handle.net/11394/2016

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Vanderbilt University

29. Pratap, Siddharth. In silico evaluation of DNA-pooled allelotyping versus individual genotyping for genome-wide association analysis of complex disease.

Degree: MS, Biomedical Informatics, 2007, Vanderbilt University

 Recent advances in single nucleotide polymorphism (SNP) genotyping techniques, public databases, and genomic knowledge via the Human Genome Project and the Haplotype Mapping project (HapMap)… (more)

Subjects/Keywords: Genomics  – Data processing; DNA pooling; single nucleotide polymorphism (SNP); genome-wide association; Genomics  – Methodology

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pratap, S. (2007). In silico evaluation of DNA-pooled allelotyping versus individual genotyping for genome-wide association analysis of complex disease. (Masters Thesis). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-07202007-124602/ ;

Chicago Manual of Style (16th Edition):

Pratap, Siddharth. “In silico evaluation of DNA-pooled allelotyping versus individual genotyping for genome-wide association analysis of complex disease.” 2007. Masters Thesis, Vanderbilt University. Accessed September 15, 2019. http://etd.library.vanderbilt.edu/available/etd-07202007-124602/ ;.

MLA Handbook (7th Edition):

Pratap, Siddharth. “In silico evaluation of DNA-pooled allelotyping versus individual genotyping for genome-wide association analysis of complex disease.” 2007. Web. 15 Sep 2019.

Vancouver:

Pratap S. In silico evaluation of DNA-pooled allelotyping versus individual genotyping for genome-wide association analysis of complex disease. [Internet] [Masters thesis]. Vanderbilt University; 2007. [cited 2019 Sep 15]. Available from: http://etd.library.vanderbilt.edu/available/etd-07202007-124602/ ;.

Council of Science Editors:

Pratap S. In silico evaluation of DNA-pooled allelotyping versus individual genotyping for genome-wide association analysis of complex disease. [Masters Thesis]. Vanderbilt University; 2007. Available from: http://etd.library.vanderbilt.edu/available/etd-07202007-124602/ ;


Rhodes University

30. Akhurst, Timothy John. The role of parallel computing in bioinformatics.

Degree: Faculty of Science, Biochemistry, Microbiology and Biotechnology, 2005, Rhodes University

 The need to intelligibly capture, manage and analyse the ever-increasing amount of publicly available genomic data is one of the challenges facing bioinformaticians today. Such… (more)

Subjects/Keywords: Bioinformatics; Parallel programming (Computer science); LINDA (Computer system); Java (Computer program language); Parallel processing (Electronic computers); Genomics  – Data processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Akhurst, T. J. (2005). The role of parallel computing in bioinformatics. (Thesis). Rhodes University. Retrieved from http://hdl.handle.net/10962/d1004045

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Akhurst, Timothy John. “The role of parallel computing in bioinformatics.” 2005. Thesis, Rhodes University. Accessed September 15, 2019. http://hdl.handle.net/10962/d1004045.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Akhurst, Timothy John. “The role of parallel computing in bioinformatics.” 2005. Web. 15 Sep 2019.

Vancouver:

Akhurst TJ. The role of parallel computing in bioinformatics. [Internet] [Thesis]. Rhodes University; 2005. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/10962/d1004045.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Akhurst TJ. The role of parallel computing in bioinformatics. [Thesis]. Rhodes University; 2005. Available from: http://hdl.handle.net/10962/d1004045

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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