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You searched for subject:(Computational Biology). Showing records 1 – 30 of 1114 total matches.

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University of Oxford

1. Bowler, Louise. Modelling and simulation of phenotypic variability in cardiac tissue and application to stem cell-derived cardiomyocytes.

Degree: PhD, 2018, University of Oxford

 Prediction of the safety of a novel pharmaceutical compound at the earliest possible stage of development is of great importance for drug discovery. Cardiac side-effects… (more)

Subjects/Keywords: Computational biology

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APA (6th Edition):

Bowler, L. (2018). Modelling and simulation of phenotypic variability in cardiac tissue and application to stem cell-derived cardiomyocytes. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:a138d837-be95-487e-87e5-e1cf4769e9a4 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780558

Chicago Manual of Style (16th Edition):

Bowler, Louise. “Modelling and simulation of phenotypic variability in cardiac tissue and application to stem cell-derived cardiomyocytes.” 2018. Doctoral Dissertation, University of Oxford. Accessed June 04, 2020. http://ora.ox.ac.uk/objects/uuid:a138d837-be95-487e-87e5-e1cf4769e9a4 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780558.

MLA Handbook (7th Edition):

Bowler, Louise. “Modelling and simulation of phenotypic variability in cardiac tissue and application to stem cell-derived cardiomyocytes.” 2018. Web. 04 Jun 2020.

Vancouver:

Bowler L. Modelling and simulation of phenotypic variability in cardiac tissue and application to stem cell-derived cardiomyocytes. [Internet] [Doctoral dissertation]. University of Oxford; 2018. [cited 2020 Jun 04]. Available from: http://ora.ox.ac.uk/objects/uuid:a138d837-be95-487e-87e5-e1cf4769e9a4 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780558.

Council of Science Editors:

Bowler L. Modelling and simulation of phenotypic variability in cardiac tissue and application to stem cell-derived cardiomyocytes. [Doctoral Dissertation]. University of Oxford; 2018. Available from: http://ora.ox.ac.uk/objects/uuid:a138d837-be95-487e-87e5-e1cf4769e9a4 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780558


University of Cape Town

2. Rugamika, Emile Chimusa. Mapping genes underlying ethnic differences in tuberculosis risk by linkage disequilibrium in the South African coloured population of the Western Cape.

Degree: Image, Institute of Infectious Disease and Molecular Medicine, 2013, University of Cape Town

 The South Africa Coloured population of the Western Cape is the result of unions between Europeans, Africans (Bantu and Khoisan), and various other populations (Malaysian… (more)

Subjects/Keywords: Computational Biology

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APA (6th Edition):

Rugamika, E. C. (2013). Mapping genes underlying ethnic differences in tuberculosis risk by linkage disequilibrium in the South African coloured population of the Western Cape. (Thesis). University of Cape Town. Retrieved from http://hdl.handle.net/11427/10691

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):

Rugamika, Emile Chimusa. “Mapping genes underlying ethnic differences in tuberculosis risk by linkage disequilibrium in the South African coloured population of the Western Cape.” 2013. Thesis, University of Cape Town. Accessed June 04, 2020. http://hdl.handle.net/11427/10691.

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

MLA Handbook (7th Edition):

Rugamika, Emile Chimusa. “Mapping genes underlying ethnic differences in tuberculosis risk by linkage disequilibrium in the South African coloured population of the Western Cape.” 2013. Web. 04 Jun 2020.

Vancouver:

Rugamika EC. Mapping genes underlying ethnic differences in tuberculosis risk by linkage disequilibrium in the South African coloured population of the Western Cape. [Internet] [Thesis]. University of Cape Town; 2013. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/11427/10691.

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

Council of Science Editors:

Rugamika EC. Mapping genes underlying ethnic differences in tuberculosis risk by linkage disequilibrium in the South African coloured population of the Western Cape. [Thesis]. University of Cape Town; 2013. Available from: http://hdl.handle.net/11427/10691

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


Rutgers University

3. McQuade, Sean T. Modeling bio-networks at multiple scales.

Degree: PhD, Systems biology, 2019, Rutgers University

A network facilitates the description of selective interactions among the variables of a system. In this work, networks are used to depict selective interactions between… (more)

Subjects/Keywords: Computational and Integrative Biology; Computational biology

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APA (6th Edition):

McQuade, S. T. (2019). Modeling bio-networks at multiple scales. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/60795/

Chicago Manual of Style (16th Edition):

McQuade, Sean T. “Modeling bio-networks at multiple scales.” 2019. Doctoral Dissertation, Rutgers University. Accessed June 04, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/60795/.

MLA Handbook (7th Edition):

McQuade, Sean T. “Modeling bio-networks at multiple scales.” 2019. Web. 04 Jun 2020.

Vancouver:

McQuade ST. Modeling bio-networks at multiple scales. [Internet] [Doctoral dissertation]. Rutgers University; 2019. [cited 2020 Jun 04]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/60795/.

Council of Science Editors:

McQuade ST. Modeling bio-networks at multiple scales. [Doctoral Dissertation]. Rutgers University; 2019. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/60795/

4. Bender, Robert Joseph. Genomic Data-Based Models of Growth Factor Signaling for Personalized Cancer Therapy Selection.

Degree: 2014, Johns Hopkins University

 The genetic heterogeneity of cancer creates patient-to-patient variability that makes it difficult to predict whether the patient will respond to a treatment. This is particularly… (more)

Subjects/Keywords: Computational biology; bioinformatics

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APA (6th Edition):

Bender, R. J. (2014). Genomic Data-Based Models of Growth Factor Signaling for Personalized Cancer Therapy Selection. (Thesis). Johns Hopkins University. Retrieved from http://jhir.library.jhu.edu/handle/1774.2/37879

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):

Bender, Robert Joseph. “Genomic Data-Based Models of Growth Factor Signaling for Personalized Cancer Therapy Selection.” 2014. Thesis, Johns Hopkins University. Accessed June 04, 2020. http://jhir.library.jhu.edu/handle/1774.2/37879.

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

MLA Handbook (7th Edition):

Bender, Robert Joseph. “Genomic Data-Based Models of Growth Factor Signaling for Personalized Cancer Therapy Selection.” 2014. Web. 04 Jun 2020.

Vancouver:

Bender RJ. Genomic Data-Based Models of Growth Factor Signaling for Personalized Cancer Therapy Selection. [Internet] [Thesis]. Johns Hopkins University; 2014. [cited 2020 Jun 04]. Available from: http://jhir.library.jhu.edu/handle/1774.2/37879.

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

Council of Science Editors:

Bender RJ. Genomic Data-Based Models of Growth Factor Signaling for Personalized Cancer Therapy Selection. [Thesis]. Johns Hopkins University; 2014. Available from: http://jhir.library.jhu.edu/handle/1774.2/37879

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


University of Notre Dame

5. chunlei li. Computational Modeling of Microtubule Dynamic Instability</h1>.

Degree: PhD, Applied and Computational Mathematics and Statistics, 2014, University of Notre Dame

  Microtubules are the major component of cytoskeleton. They are proteinaceous polymers which consist of αβ tubulin dimers. In microtubules, these tubulin subunits are assembled… (more)

Subjects/Keywords: microtubule; computational biology

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APA (6th Edition):

li, c. (2014). Computational Modeling of Microtubule Dynamic Instability</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/3n203x83265

Chicago Manual of Style (16th Edition):

li, chunlei. “Computational Modeling of Microtubule Dynamic Instability</h1>.” 2014. Doctoral Dissertation, University of Notre Dame. Accessed June 04, 2020. https://curate.nd.edu/show/3n203x83265.

MLA Handbook (7th Edition):

li, chunlei. “Computational Modeling of Microtubule Dynamic Instability</h1>.” 2014. Web. 04 Jun 2020.

Vancouver:

li c. Computational Modeling of Microtubule Dynamic Instability</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2014. [cited 2020 Jun 04]. Available from: https://curate.nd.edu/show/3n203x83265.

Council of Science Editors:

li c. Computational Modeling of Microtubule Dynamic Instability</h1>. [Doctoral Dissertation]. University of Notre Dame; 2014. Available from: https://curate.nd.edu/show/3n203x83265


University of Oxford

6. Dhawan, Andrew. Investigating small non-coding RNA regulating the hallmarks of cancer.

Degree: PhD, 2018, University of Oxford

 Non-coding RNA are increasingly being implicated as key regulators of the human transcriptome, and are thought to play important roles in the pathogenesis and progression… (more)

Subjects/Keywords: Oncology; Computational Biology

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APA (6th Edition):

Dhawan, A. (2018). Investigating small non-coding RNA regulating the hallmarks of cancer. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:636ac369-f97d-4a6a-8e9e-324f1c943626 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780473

Chicago Manual of Style (16th Edition):

Dhawan, Andrew. “Investigating small non-coding RNA regulating the hallmarks of cancer.” 2018. Doctoral Dissertation, University of Oxford. Accessed June 04, 2020. http://ora.ox.ac.uk/objects/uuid:636ac369-f97d-4a6a-8e9e-324f1c943626 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780473.

MLA Handbook (7th Edition):

Dhawan, Andrew. “Investigating small non-coding RNA regulating the hallmarks of cancer.” 2018. Web. 04 Jun 2020.

Vancouver:

Dhawan A. Investigating small non-coding RNA regulating the hallmarks of cancer. [Internet] [Doctoral dissertation]. University of Oxford; 2018. [cited 2020 Jun 04]. Available from: http://ora.ox.ac.uk/objects/uuid:636ac369-f97d-4a6a-8e9e-324f1c943626 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780473.

Council of Science Editors:

Dhawan A. Investigating small non-coding RNA regulating the hallmarks of cancer. [Doctoral Dissertation]. University of Oxford; 2018. Available from: http://ora.ox.ac.uk/objects/uuid:636ac369-f97d-4a6a-8e9e-324f1c943626 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780473


University of Oxford

7. Velgy, Naushad A. L. In silico molecular understanding of opioid receptor activation.

Degree: PhD, 2018, University of Oxford

 This thesis explores the behaviour the homo sapiens δ opioid receptor (δ OR) in complex with a variety of morphinan (morphine derivatives) opioids, aiming to… (more)

Subjects/Keywords: Biochemistry; Computational biology

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APA (6th Edition):

Velgy, N. A. L. (2018). In silico molecular understanding of opioid receptor activation. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:ba2a4133-aecf-471f-b9ee-d251475005cd ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780490

Chicago Manual of Style (16th Edition):

Velgy, Naushad A L. “In silico molecular understanding of opioid receptor activation.” 2018. Doctoral Dissertation, University of Oxford. Accessed June 04, 2020. http://ora.ox.ac.uk/objects/uuid:ba2a4133-aecf-471f-b9ee-d251475005cd ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780490.

MLA Handbook (7th Edition):

Velgy, Naushad A L. “In silico molecular understanding of opioid receptor activation.” 2018. Web. 04 Jun 2020.

Vancouver:

Velgy NAL. In silico molecular understanding of opioid receptor activation. [Internet] [Doctoral dissertation]. University of Oxford; 2018. [cited 2020 Jun 04]. Available from: http://ora.ox.ac.uk/objects/uuid:ba2a4133-aecf-471f-b9ee-d251475005cd ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780490.

Council of Science Editors:

Velgy NAL. In silico molecular understanding of opioid receptor activation. [Doctoral Dissertation]. University of Oxford; 2018. Available from: http://ora.ox.ac.uk/objects/uuid:ba2a4133-aecf-471f-b9ee-d251475005cd ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780490


University of Toronto

8. Ba, Nghiem Alex Nguyen. Molecular Evolution of Posttranslational Regulation in Intrinsically Disordered Regions.

Degree: PhD, 2014, University of Toronto

 Protein posttranslational regulation is a major facet of protein function, and efforts have been made to systematically characterize the level of control of proteins. For… (more)

Subjects/Keywords: Computational Biology; 0307

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APA (6th Edition):

Ba, N. A. N. (2014). Molecular Evolution of Posttranslational Regulation in Intrinsically Disordered Regions. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/68231

Chicago Manual of Style (16th Edition):

Ba, Nghiem Alex Nguyen. “Molecular Evolution of Posttranslational Regulation in Intrinsically Disordered Regions.” 2014. Doctoral Dissertation, University of Toronto. Accessed June 04, 2020. http://hdl.handle.net/1807/68231.

MLA Handbook (7th Edition):

Ba, Nghiem Alex Nguyen. “Molecular Evolution of Posttranslational Regulation in Intrinsically Disordered Regions.” 2014. Web. 04 Jun 2020.

Vancouver:

Ba NAN. Molecular Evolution of Posttranslational Regulation in Intrinsically Disordered Regions. [Internet] [Doctoral dissertation]. University of Toronto; 2014. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/1807/68231.

Council of Science Editors:

Ba NAN. Molecular Evolution of Posttranslational Regulation in Intrinsically Disordered Regions. [Doctoral Dissertation]. University of Toronto; 2014. Available from: http://hdl.handle.net/1807/68231


Columbia University

9. Ladewig, Erik. Genomic Evolution of Glioblastoma.

Degree: 2018, Columbia University

 Understanding how tumors evolve and drive uncontrolled cellular growth may lead to better prognosis and therapy for individuals suffering from cancer. A key to understanding… (more)

Subjects/Keywords: Genomics; Tumors; Computational biology; Biology

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APA (6th Edition):

Ladewig, E. (2018). Genomic Evolution of Glioblastoma. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8SB5PKD

Chicago Manual of Style (16th Edition):

Ladewig, Erik. “Genomic Evolution of Glioblastoma.” 2018. Doctoral Dissertation, Columbia University. Accessed June 04, 2020. https://doi.org/10.7916/D8SB5PKD.

MLA Handbook (7th Edition):

Ladewig, Erik. “Genomic Evolution of Glioblastoma.” 2018. Web. 04 Jun 2020.

Vancouver:

Ladewig E. Genomic Evolution of Glioblastoma. [Internet] [Doctoral dissertation]. Columbia University; 2018. [cited 2020 Jun 04]. Available from: https://doi.org/10.7916/D8SB5PKD.

Council of Science Editors:

Ladewig E. Genomic Evolution of Glioblastoma. [Doctoral Dissertation]. Columbia University; 2018. Available from: https://doi.org/10.7916/D8SB5PKD


Duke University

10. Deckard, Anastasia. Constructing Mathematical Models of Gene Regulatory Networks for the Yeast Cell Cycle and Other Periodic Processes .

Degree: 2014, Duke University

  We work on constructing mathematical models of gene regulatory networks for periodic processes, such as the cell cycle in budding yeast, using biological data… (more)

Subjects/Keywords: Bioinformatics; Computational Biology; Systems Biology

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APA (6th Edition):

Deckard, A. (2014). Constructing Mathematical Models of Gene Regulatory Networks for the Yeast Cell Cycle and Other Periodic Processes . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/9029

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):

Deckard, Anastasia. “Constructing Mathematical Models of Gene Regulatory Networks for the Yeast Cell Cycle and Other Periodic Processes .” 2014. Thesis, Duke University. Accessed June 04, 2020. http://hdl.handle.net/10161/9029.

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

MLA Handbook (7th Edition):

Deckard, Anastasia. “Constructing Mathematical Models of Gene Regulatory Networks for the Yeast Cell Cycle and Other Periodic Processes .” 2014. Web. 04 Jun 2020.

Vancouver:

Deckard A. Constructing Mathematical Models of Gene Regulatory Networks for the Yeast Cell Cycle and Other Periodic Processes . [Internet] [Thesis]. Duke University; 2014. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/10161/9029.

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

Council of Science Editors:

Deckard A. Constructing Mathematical Models of Gene Regulatory Networks for the Yeast Cell Cycle and Other Periodic Processes . [Thesis]. Duke University; 2014. Available from: http://hdl.handle.net/10161/9029

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


University of Oxford

11. Randisi, Ferdinando. Theory and simulation of twisted DNA duplexes.

Degree: PhD, 2019, University of Oxford

 We use basic statistical mechanics and computer simulations with coarse-grained models to investigate the response of (inhomogeneous) DNA duplexes to linear and torsional mechanical stress.… (more)

Subjects/Keywords: Computational physics; Biochemistry; Computational chemistry; Molecular biology

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APA (6th Edition):

Randisi, F. (2019). Theory and simulation of twisted DNA duplexes. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:1b8cf9be-8034-4aed-b488-35e7a3c7c97f ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780718

Chicago Manual of Style (16th Edition):

Randisi, Ferdinando. “Theory and simulation of twisted DNA duplexes.” 2019. Doctoral Dissertation, University of Oxford. Accessed June 04, 2020. http://ora.ox.ac.uk/objects/uuid:1b8cf9be-8034-4aed-b488-35e7a3c7c97f ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780718.

MLA Handbook (7th Edition):

Randisi, Ferdinando. “Theory and simulation of twisted DNA duplexes.” 2019. Web. 04 Jun 2020.

Vancouver:

Randisi F. Theory and simulation of twisted DNA duplexes. [Internet] [Doctoral dissertation]. University of Oxford; 2019. [cited 2020 Jun 04]. Available from: http://ora.ox.ac.uk/objects/uuid:1b8cf9be-8034-4aed-b488-35e7a3c7c97f ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780718.

Council of Science Editors:

Randisi F. Theory and simulation of twisted DNA duplexes. [Doctoral Dissertation]. University of Oxford; 2019. Available from: http://ora.ox.ac.uk/objects/uuid:1b8cf9be-8034-4aed-b488-35e7a3c7c97f ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780718


University of Oxford

12. Cooper, Fergus R. A mathematical and computational framework for modelling epithelial cell morphodynamics.

Degree: PhD, 2018, University of Oxford

 Mathematical and computational modelling provides a useful framework within which to investigate the organisation of biological tissues. As experimental biologists generate increasingly detailed descriptions of… (more)

Subjects/Keywords: Mathematics; Developmental biology; Mathematical biology; Computational biology

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APA (6th Edition):

Cooper, F. R. (2018). A mathematical and computational framework for modelling epithelial cell morphodynamics. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:1d8c7a1f-931e-464a-8a4b-1eea41f69906 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780506

Chicago Manual of Style (16th Edition):

Cooper, Fergus R. “A mathematical and computational framework for modelling epithelial cell morphodynamics.” 2018. Doctoral Dissertation, University of Oxford. Accessed June 04, 2020. http://ora.ox.ac.uk/objects/uuid:1d8c7a1f-931e-464a-8a4b-1eea41f69906 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780506.

MLA Handbook (7th Edition):

Cooper, Fergus R. “A mathematical and computational framework for modelling epithelial cell morphodynamics.” 2018. Web. 04 Jun 2020.

Vancouver:

Cooper FR. A mathematical and computational framework for modelling epithelial cell morphodynamics. [Internet] [Doctoral dissertation]. University of Oxford; 2018. [cited 2020 Jun 04]. Available from: http://ora.ox.ac.uk/objects/uuid:1d8c7a1f-931e-464a-8a4b-1eea41f69906 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780506.

Council of Science Editors:

Cooper FR. A mathematical and computational framework for modelling epithelial cell morphodynamics. [Doctoral Dissertation]. University of Oxford; 2018. Available from: http://ora.ox.ac.uk/objects/uuid:1d8c7a1f-931e-464a-8a4b-1eea41f69906 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780506


University of Oxford

13. Nichol, Daniel. Understanding drug resistance through computational models of the genotype-phenotype mapping.

Degree: PhD, 2018, University of Oxford

 The emergence of drug resistance is ultimately driven by Darwinian evolution. These evolutionary dynamics are inherently two-tiered, with mutational processes at the genetic scale inducing… (more)

Subjects/Keywords: Evolution (Biology); Mathematical Biology; Computational Biology

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APA (6th Edition):

Nichol, D. (2018). Understanding drug resistance through computational models of the genotype-phenotype mapping. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:534f69ac-5cd5-4837-83a8-fa29ef0d57d4 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.770640

Chicago Manual of Style (16th Edition):

Nichol, Daniel. “Understanding drug resistance through computational models of the genotype-phenotype mapping.” 2018. Doctoral Dissertation, University of Oxford. Accessed June 04, 2020. http://ora.ox.ac.uk/objects/uuid:534f69ac-5cd5-4837-83a8-fa29ef0d57d4 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.770640.

MLA Handbook (7th Edition):

Nichol, Daniel. “Understanding drug resistance through computational models of the genotype-phenotype mapping.” 2018. Web. 04 Jun 2020.

Vancouver:

Nichol D. Understanding drug resistance through computational models of the genotype-phenotype mapping. [Internet] [Doctoral dissertation]. University of Oxford; 2018. [cited 2020 Jun 04]. Available from: http://ora.ox.ac.uk/objects/uuid:534f69ac-5cd5-4837-83a8-fa29ef0d57d4 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.770640.

Council of Science Editors:

Nichol D. Understanding drug resistance through computational models of the genotype-phenotype mapping. [Doctoral Dissertation]. University of Oxford; 2018. Available from: http://ora.ox.ac.uk/objects/uuid:534f69ac-5cd5-4837-83a8-fa29ef0d57d4 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.770640


Ryerson University

14. Manshaei, Roozbeh. Tangible visual analytics: the integration of tangible interactions and computational techniques for biological data visualization and modelling with experts in the loop.

Degree: 2017, Ryerson University

 Understanding and interpreting the inherently uncertain nature of complex biological systems, as well as the time to an event in these systems, are notable challenges… (more)

Subjects/Keywords: Computational biology; Bioinformatics; Gene expression

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APA (6th Edition):

Manshaei, R. (2017). Tangible visual analytics: the integration of tangible interactions and computational techniques for biological data visualization and modelling with experts in the loop. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A6554

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):

Manshaei, Roozbeh. “Tangible visual analytics: the integration of tangible interactions and computational techniques for biological data visualization and modelling with experts in the loop.” 2017. Thesis, Ryerson University. Accessed June 04, 2020. https://digital.library.ryerson.ca/islandora/object/RULA%3A6554.

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

MLA Handbook (7th Edition):

Manshaei, Roozbeh. “Tangible visual analytics: the integration of tangible interactions and computational techniques for biological data visualization and modelling with experts in the loop.” 2017. Web. 04 Jun 2020.

Vancouver:

Manshaei R. Tangible visual analytics: the integration of tangible interactions and computational techniques for biological data visualization and modelling with experts in the loop. [Internet] [Thesis]. Ryerson University; 2017. [cited 2020 Jun 04]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A6554.

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

Council of Science Editors:

Manshaei R. Tangible visual analytics: the integration of tangible interactions and computational techniques for biological data visualization and modelling with experts in the loop. [Thesis]. Ryerson University; 2017. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A6554

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


University of Minnesota

15. Middha, Mridu. Impact of network properties on evolution of the plant immune network.

Degree: MS, Biomedical informatics and computational biology, 2012, University of Minnesota

University of Minnesota M.S. thesis. July 2012. Major: Biomedical informatics and computational biology. Advisor: Dr. Fumiaki Katagiri. 1 computer file (PDF); vii, 47 pages.

This… (more)

Subjects/Keywords: Biomedical informatics and computational biology

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

APA (6th Edition):

Middha, M. (2012). Impact of network properties on evolution of the plant immune network. (Masters Thesis). University of Minnesota. Retrieved from http://purl.umn.edu/140630

Chicago Manual of Style (16th Edition):

Middha, Mridu. “Impact of network properties on evolution of the plant immune network.” 2012. Masters Thesis, University of Minnesota. Accessed June 04, 2020. http://purl.umn.edu/140630.

MLA Handbook (7th Edition):

Middha, Mridu. “Impact of network properties on evolution of the plant immune network.” 2012. Web. 04 Jun 2020.

Vancouver:

Middha M. Impact of network properties on evolution of the plant immune network. [Internet] [Masters thesis]. University of Minnesota; 2012. [cited 2020 Jun 04]. Available from: http://purl.umn.edu/140630.

Council of Science Editors:

Middha M. Impact of network properties on evolution of the plant immune network. [Masters Thesis]. University of Minnesota; 2012. Available from: http://purl.umn.edu/140630


University of Minnesota

16. Moore, Raymond M. Mapping binary (On/Off) gene expression for pathway & tissue analysis.

Degree: MS, Biomedical Informatics and computational biology, 2012, University of Minnesota

University of Minnesota M.S. thesis. August 2012. Major: Biomedical Informatics and computational biology. Advisors: Jean-Pierre Kocher, Claudia Neuhauser. 1 computer file (PDF); vi, 27 pages.… (more)

Subjects/Keywords: Biomedical Informatics and computational biology

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

APA (6th Edition):

Moore, R. M. (2012). Mapping binary (On/Off) gene expression for pathway & tissue analysis. (Masters Thesis). University of Minnesota. Retrieved from http://purl.umn.edu/140782

Chicago Manual of Style (16th Edition):

Moore, Raymond M. “Mapping binary (On/Off) gene expression for pathway & tissue analysis.” 2012. Masters Thesis, University of Minnesota. Accessed June 04, 2020. http://purl.umn.edu/140782.

MLA Handbook (7th Edition):

Moore, Raymond M. “Mapping binary (On/Off) gene expression for pathway & tissue analysis.” 2012. Web. 04 Jun 2020.

Vancouver:

Moore RM. Mapping binary (On/Off) gene expression for pathway & tissue analysis. [Internet] [Masters thesis]. University of Minnesota; 2012. [cited 2020 Jun 04]. Available from: http://purl.umn.edu/140782.

Council of Science Editors:

Moore RM. Mapping binary (On/Off) gene expression for pathway & tissue analysis. [Masters Thesis]. University of Minnesota; 2012. Available from: http://purl.umn.edu/140782


University of Pennsylvania

17. Evans, James P. Modeling Virus-Host Networks.

Degree: 2010, University of Pennsylvania

 Virus-host interactions are being cataloged at an increasing rate using protein interaction assays and small interfering RNA screens for host factors necessary for infection. These… (more)

Subjects/Keywords: HIV; network; Bioinformatics; Computational Biology

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

APA (6th Edition):

Evans, J. P. (2010). Modeling Virus-Host Networks. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/260

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):

Evans, James P. “Modeling Virus-Host Networks.” 2010. Thesis, University of Pennsylvania. Accessed June 04, 2020. https://repository.upenn.edu/edissertations/260.

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

MLA Handbook (7th Edition):

Evans, James P. “Modeling Virus-Host Networks.” 2010. Web. 04 Jun 2020.

Vancouver:

Evans JP. Modeling Virus-Host Networks. [Internet] [Thesis]. University of Pennsylvania; 2010. [cited 2020 Jun 04]. Available from: https://repository.upenn.edu/edissertations/260.

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

Council of Science Editors:

Evans JP. Modeling Virus-Host Networks. [Thesis]. University of Pennsylvania; 2010. Available from: https://repository.upenn.edu/edissertations/260

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


University of Notre Dame

18. Aboutaleb Amiri. Intercellular Interactions Promote Collective Behavior in Bacterial Colonies and Developing Epithelia</h1>.

Degree: PhD, Physics, 2017, University of Notre Dame

  Collective behavior has been observed in many animal groups including schools of fish, flocks of birds, as well as in colonies of swarming bacteria,… (more)

Subjects/Keywords: Computational biology and biophysics

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APA (6th Edition):

Amiri, A. (2017). Intercellular Interactions Promote Collective Behavior in Bacterial Colonies and Developing Epithelia</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/bc386h4682f

Chicago Manual of Style (16th Edition):

Amiri, Aboutaleb. “Intercellular Interactions Promote Collective Behavior in Bacterial Colonies and Developing Epithelia</h1>.” 2017. Doctoral Dissertation, University of Notre Dame. Accessed June 04, 2020. https://curate.nd.edu/show/bc386h4682f.

MLA Handbook (7th Edition):

Amiri, Aboutaleb. “Intercellular Interactions Promote Collective Behavior in Bacterial Colonies and Developing Epithelia</h1>.” 2017. Web. 04 Jun 2020.

Vancouver:

Amiri A. Intercellular Interactions Promote Collective Behavior in Bacterial Colonies and Developing Epithelia</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2017. [cited 2020 Jun 04]. Available from: https://curate.nd.edu/show/bc386h4682f.

Council of Science Editors:

Amiri A. Intercellular Interactions Promote Collective Behavior in Bacterial Colonies and Developing Epithelia</h1>. [Doctoral Dissertation]. University of Notre Dame; 2017. Available from: https://curate.nd.edu/show/bc386h4682f


Rutgers University

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

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 June 04, 2020. 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. 04 Jun 2020.

Vancouver:

Zhou, Lisheng 1. A statistical method for genotypic association that is robust to sequencing misclassification. [Internet] [Doctoral dissertation]. Rutgers University; 2017. [cited 2020 Jun 04]. 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/


Rutgers University

20. Blacklock, Kristin, 1991-. New tools and approaches for computational protein design.

Degree: PhD, Quantitative Biomedicine, 2019, Rutgers University

This dissertation describes the development, benchmarking, validation, and application of computational methods, mostly written within the Rosetta suite of macromolecular modeling software, for the design… (more)

Subjects/Keywords: Protein engineering; Computational biology

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APA (6th Edition):

Blacklock, Kristin, 1. (2019). New tools and approaches for computational protein design. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/60017/

Chicago Manual of Style (16th Edition):

Blacklock, Kristin, 1991-. “New tools and approaches for computational protein design.” 2019. Doctoral Dissertation, Rutgers University. Accessed June 04, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/60017/.

MLA Handbook (7th Edition):

Blacklock, Kristin, 1991-. “New tools and approaches for computational protein design.” 2019. Web. 04 Jun 2020.

Vancouver:

Blacklock, Kristin 1. New tools and approaches for computational protein design. [Internet] [Doctoral dissertation]. Rutgers University; 2019. [cited 2020 Jun 04]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/60017/.

Council of Science Editors:

Blacklock, Kristin 1. New tools and approaches for computational protein design. [Doctoral Dissertation]. Rutgers University; 2019. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/60017/


Uppsala University

21. Mattisson, Jonas. Identifying esophageal atresi associated variants from whole genome sequencing data.

Degree: Genetics and Pathology, 2018, Uppsala University

  Knowing the underlying cause of a genetic disorder could not only further our understanding of the disease itself, and the otherwise healthy mechanism that… (more)

Subjects/Keywords: Bioinformatics (Computational Biology); Bioinformatik (beräkningsbiologi)

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

APA (6th Edition):

Mattisson, J. (2018). Identifying esophageal atresi associated variants from whole genome sequencing data. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-345329

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):

Mattisson, Jonas. “Identifying esophageal atresi associated variants from whole genome sequencing data.” 2018. Thesis, Uppsala University. Accessed June 04, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-345329.

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

MLA Handbook (7th Edition):

Mattisson, Jonas. “Identifying esophageal atresi associated variants from whole genome sequencing data.” 2018. Web. 04 Jun 2020.

Vancouver:

Mattisson J. Identifying esophageal atresi associated variants from whole genome sequencing data. [Internet] [Thesis]. Uppsala University; 2018. [cited 2020 Jun 04]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-345329.

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

Council of Science Editors:

Mattisson J. Identifying esophageal atresi associated variants from whole genome sequencing data. [Thesis]. Uppsala University; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-345329

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


Uppsala University

22. Mattisson, Jonas; Gräsberg, Sofia; Öhrling, Sara Rydberg; Al-Jaff, Mohammed; Molin, Iris. Framtagning av unika gemensamma sekvenser hos koagulasnegativa stafylokocker.

Degree: Biology Education Centre, 2016, Uppsala University

  I följande rapport kommer vi ta upp hur vi löste problemet med att hitta gemensamma sekvenser hos en mängd koagulasnegativa stafylokocker (KNS) för att… (more)

Subjects/Keywords: Bioinformatics (Computational Biology); Bioinformatik (beräkningsbiologi)

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APA (6th Edition):

Mattisson, Jonas; Gräsberg, Sofia; Öhrling, Sara Rydberg; Al-Jaff, Mohammed; Molin, I. (2016). Framtagning av unika gemensamma sekvenser hos koagulasnegativa stafylokocker. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-295974

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):

Mattisson, Jonas; Gräsberg, Sofia; Öhrling, Sara Rydberg; Al-Jaff, Mohammed; Molin, Iris. “Framtagning av unika gemensamma sekvenser hos koagulasnegativa stafylokocker.” 2016. Thesis, Uppsala University. Accessed June 04, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-295974.

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

MLA Handbook (7th Edition):

Mattisson, Jonas; Gräsberg, Sofia; Öhrling, Sara Rydberg; Al-Jaff, Mohammed; Molin, Iris. “Framtagning av unika gemensamma sekvenser hos koagulasnegativa stafylokocker.” 2016. Web. 04 Jun 2020.

Vancouver:

Mattisson, Jonas; Gräsberg, Sofia; Öhrling, Sara Rydberg; Al-Jaff, Mohammed; Molin I. Framtagning av unika gemensamma sekvenser hos koagulasnegativa stafylokocker. [Internet] [Thesis]. Uppsala University; 2016. [cited 2020 Jun 04]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-295974.

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

Council of Science Editors:

Mattisson, Jonas; Gräsberg, Sofia; Öhrling, Sara Rydberg; Al-Jaff, Mohammed; Molin I. Framtagning av unika gemensamma sekvenser hos koagulasnegativa stafylokocker. [Thesis]. Uppsala University; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-295974

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


Uppsala University

23. Odelgard, Anna. Coverage Analysis in Clinical Next-Generation Sequencing.

Degree: Biology Education Centre, 2019, Uppsala University

  With the new way of sequencing by NGS new tools had to be developed to be able to work with new data formats and… (more)

Subjects/Keywords: Bioinformatics (Computational Biology); Bioinformatik (beräkningsbiologi)

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

APA (6th Edition):

Odelgard, A. (2019). Coverage Analysis in Clinical Next-Generation Sequencing. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-379228

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):

Odelgard, Anna. “Coverage Analysis in Clinical Next-Generation Sequencing.” 2019. Thesis, Uppsala University. Accessed June 04, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-379228.

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

MLA Handbook (7th Edition):

Odelgard, Anna. “Coverage Analysis in Clinical Next-Generation Sequencing.” 2019. Web. 04 Jun 2020.

Vancouver:

Odelgard A. Coverage Analysis in Clinical Next-Generation Sequencing. [Internet] [Thesis]. Uppsala University; 2019. [cited 2020 Jun 04]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-379228.

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

Council of Science Editors:

Odelgard A. Coverage Analysis in Clinical Next-Generation Sequencing. [Thesis]. Uppsala University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-379228

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


Iowa State University

24. Walia, Rasna Rani. Sequence-based prediction of RNA-protein interactions.

Degree: 2014, Iowa State University

 The interaction of RNAs with proteins is fundamental for executing many of the key roles they play in living systems, including translation, post-transcriptional regulation of… (more)

Subjects/Keywords: Bioinformatics and Computational Biology; Bioinformatics

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APA (6th Edition):

Walia, R. R. (2014). Sequence-based prediction of RNA-protein interactions. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/14237

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):

Walia, Rasna Rani. “Sequence-based prediction of RNA-protein interactions.” 2014. Thesis, Iowa State University. Accessed June 04, 2020. https://lib.dr.iastate.edu/etd/14237.

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

MLA Handbook (7th Edition):

Walia, Rasna Rani. “Sequence-based prediction of RNA-protein interactions.” 2014. Web. 04 Jun 2020.

Vancouver:

Walia RR. Sequence-based prediction of RNA-protein interactions. [Internet] [Thesis]. Iowa State University; 2014. [cited 2020 Jun 04]. Available from: https://lib.dr.iastate.edu/etd/14237.

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

Council of Science Editors:

Walia RR. Sequence-based prediction of RNA-protein interactions. [Thesis]. Iowa State University; 2014. Available from: https://lib.dr.iastate.edu/etd/14237

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


Uppsala University

25. Gevorgyan, Arusjak. Development of a phylogenomic framework for the krill.

Degree: Biology Education Centre, 2018, Uppsala University

  Over the last few decades, many krill stocks have declined in size and number,likely as a consequence of global climate change (Siegel 2016). A… (more)

Subjects/Keywords: Bioinformatics (Computational Biology); Bioinformatik (beräkningsbiologi)

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

APA (6th Edition):

Gevorgyan, A. (2018). Development of a phylogenomic framework for the krill. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-355387

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):

Gevorgyan, Arusjak. “Development of a phylogenomic framework for the krill.” 2018. Thesis, Uppsala University. Accessed June 04, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-355387.

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

MLA Handbook (7th Edition):

Gevorgyan, Arusjak. “Development of a phylogenomic framework for the krill.” 2018. Web. 04 Jun 2020.

Vancouver:

Gevorgyan A. Development of a phylogenomic framework for the krill. [Internet] [Thesis]. Uppsala University; 2018. [cited 2020 Jun 04]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-355387.

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

Council of Science Editors:

Gevorgyan A. Development of a phylogenomic framework for the krill. [Thesis]. Uppsala University; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-355387

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


University of Illinois – Urbana-Champaign

26. Hou, Jack Pu. DawnRank: discovering personalized driver genes in cancer.

Degree: MS, Bioengineering, 2016, University of Illinois – Urbana-Champaign

 Large-scale cancer genomic studies have revealed that the genetic heterogeneity of the same type of cancer is greater than previously thought. A key question in… (more)

Subjects/Keywords: Computational Biology; Detection; Cancer; Mutations

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APA (6th Edition):

Hou, J. P. (2016). DawnRank: discovering personalized driver genes in cancer. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/95431

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):

Hou, Jack Pu. “DawnRank: discovering personalized driver genes in cancer.” 2016. Thesis, University of Illinois – Urbana-Champaign. Accessed June 04, 2020. http://hdl.handle.net/2142/95431.

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

MLA Handbook (7th Edition):

Hou, Jack Pu. “DawnRank: discovering personalized driver genes in cancer.” 2016. Web. 04 Jun 2020.

Vancouver:

Hou JP. DawnRank: discovering personalized driver genes in cancer. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2016. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/2142/95431.

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

Council of Science Editors:

Hou JP. DawnRank: discovering personalized driver genes in cancer. [Thesis]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/95431

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


University of Minnesota

27. Middha, Mridu. Impact of network properties on evolution of the plant immune network.

Degree: MS, Biomedical informatics and computational biology, 2012, University of Minnesota

 This study investigates how network evolution is affected by the underlying properties of the network. The plant immune signaling network is known to be robust… (more)

Subjects/Keywords: Biomedical informatics and computational biology

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

APA (6th Edition):

Middha, M. (2012). Impact of network properties on evolution of the plant immune network. (Masters Thesis). University of Minnesota. Retrieved from http://purl.umn.edu/140630

Chicago Manual of Style (16th Edition):

Middha, Mridu. “Impact of network properties on evolution of the plant immune network.” 2012. Masters Thesis, University of Minnesota. Accessed June 04, 2020. http://purl.umn.edu/140630.

MLA Handbook (7th Edition):

Middha, Mridu. “Impact of network properties on evolution of the plant immune network.” 2012. Web. 04 Jun 2020.

Vancouver:

Middha M. Impact of network properties on evolution of the plant immune network. [Internet] [Masters thesis]. University of Minnesota; 2012. [cited 2020 Jun 04]. Available from: http://purl.umn.edu/140630.

Council of Science Editors:

Middha M. Impact of network properties on evolution of the plant immune network. [Masters Thesis]. University of Minnesota; 2012. Available from: http://purl.umn.edu/140630


University of Minnesota

28. Moore, Raymond M. Mapping binary (On/Off) gene expression for pathway & tissue analysis.

Degree: MS, Biomedical Informatics and computational biology, 2012, University of Minnesota

 Microarray data contain information about the level of expression of genes that can be informative of changes taking place in cells. This information has been… (more)

Subjects/Keywords: Biomedical Informatics and computational biology

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

APA (6th Edition):

Moore, R. M. (2012). Mapping binary (On/Off) gene expression for pathway & tissue analysis. (Masters Thesis). University of Minnesota. Retrieved from http://purl.umn.edu/140782

Chicago Manual of Style (16th Edition):

Moore, Raymond M. “Mapping binary (On/Off) gene expression for pathway & tissue analysis.” 2012. Masters Thesis, University of Minnesota. Accessed June 04, 2020. http://purl.umn.edu/140782.

MLA Handbook (7th Edition):

Moore, Raymond M. “Mapping binary (On/Off) gene expression for pathway & tissue analysis.” 2012. Web. 04 Jun 2020.

Vancouver:

Moore RM. Mapping binary (On/Off) gene expression for pathway & tissue analysis. [Internet] [Masters thesis]. University of Minnesota; 2012. [cited 2020 Jun 04]. Available from: http://purl.umn.edu/140782.

Council of Science Editors:

Moore RM. Mapping binary (On/Off) gene expression for pathway & tissue analysis. [Masters Thesis]. University of Minnesota; 2012. Available from: http://purl.umn.edu/140782


University of Minnesota

29. Middha, Sumit. Bioinformatics solution for clinical utilization of next generation DNA sequencing.

Degree: PhD, Biomedical Informatics and Computational Biology, 2014, University of Minnesota

 DNA sequencing as an application of Next Generation Sequencing (NGS) is beginning to reshape how physicians diagnose and make treatment decisions for their patients. These… (more)

Subjects/Keywords: Biomedical informatics and computational biology

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

APA (6th Edition):

Middha, S. (2014). Bioinformatics solution for clinical utilization of next generation DNA sequencing. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/168275

Chicago Manual of Style (16th Edition):

Middha, Sumit. “Bioinformatics solution for clinical utilization of next generation DNA sequencing.” 2014. Doctoral Dissertation, University of Minnesota. Accessed June 04, 2020. http://hdl.handle.net/11299/168275.

MLA Handbook (7th Edition):

Middha, Sumit. “Bioinformatics solution for clinical utilization of next generation DNA sequencing.” 2014. Web. 04 Jun 2020.

Vancouver:

Middha S. Bioinformatics solution for clinical utilization of next generation DNA sequencing. [Internet] [Doctoral dissertation]. University of Minnesota; 2014. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/11299/168275.

Council of Science Editors:

Middha S. Bioinformatics solution for clinical utilization of next generation DNA sequencing. [Doctoral Dissertation]. University of Minnesota; 2014. Available from: http://hdl.handle.net/11299/168275


University of Minnesota

30. Cen, Ling. Gene expression signature of menstrual cyclic phase in normal cycling endometrium.

Degree: MS, Biomedical Informatics and Computational Biology, 2014, University of Minnesota

 Gene expression profiling has been widely used in understanding global gene expression alterations in endometrial cancer vs. normal cells. In many microarray-based endometrial cancer studies,… (more)

Subjects/Keywords: Biomedical informatics and computational biology

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APA (6th Edition):

Cen, L. (2014). Gene expression signature of menstrual cyclic phase in normal cycling endometrium. (Masters Thesis). University of Minnesota. Retrieved from http://hdl.handle.net/11299/170663

Chicago Manual of Style (16th Edition):

Cen, Ling. “Gene expression signature of menstrual cyclic phase in normal cycling endometrium.” 2014. Masters Thesis, University of Minnesota. Accessed June 04, 2020. http://hdl.handle.net/11299/170663.

MLA Handbook (7th Edition):

Cen, Ling. “Gene expression signature of menstrual cyclic phase in normal cycling endometrium.” 2014. Web. 04 Jun 2020.

Vancouver:

Cen L. Gene expression signature of menstrual cyclic phase in normal cycling endometrium. [Internet] [Masters thesis]. University of Minnesota; 2014. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/11299/170663.

Council of Science Editors:

Cen L. Gene expression signature of menstrual cyclic phase in normal cycling endometrium. [Masters Thesis]. University of Minnesota; 2014. Available from: http://hdl.handle.net/11299/170663

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