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You searched for +publisher:"University of Illinois – Urbana-Champaign" +contributor:("Price, Nathan D."). Showing records 1 – 26 of 26 total matches.

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University of Illinois – Urbana-Champaign

1. Eddy, James A. Identifying tightly regulated and variably expressed networks by differential rank conservation (DIRAC).

Degree: MS, 0408, 2011, University of Illinois – Urbana-Champaign

 A powerful way to separate signal from noise in biology is to convert the molecular data from individual genes or proteins into an analysis of… (more)

Subjects/Keywords: Systems biology; network analysis; gene expression; disease classification

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APA (6th Edition):

Eddy, J. A. (2011). Identifying tightly regulated and variably expressed networks by differential rank conservation (DIRAC). (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/18432

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):

Eddy, James A. “Identifying tightly regulated and variably expressed networks by differential rank conservation (DIRAC).” 2011. Thesis, University of Illinois – Urbana-Champaign. Accessed August 19, 2019. http://hdl.handle.net/2142/18432.

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

MLA Handbook (7th Edition):

Eddy, James A. “Identifying tightly regulated and variably expressed networks by differential rank conservation (DIRAC).” 2011. Web. 19 Aug 2019.

Vancouver:

Eddy JA. Identifying tightly regulated and variably expressed networks by differential rank conservation (DIRAC). [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/2142/18432.

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

Council of Science Editors:

Eddy JA. Identifying tightly regulated and variably expressed networks by differential rank conservation (DIRAC). [Thesis]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/18432

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


University of Illinois – Urbana-Champaign

2. Milne, Caroline. Metabolic network reconstruction and genome-scale model of butanol-producing strain clostridium beijerinckii ncimb 8052.

Degree: MS, 0300, 2011, University of Illinois – Urbana-Champaign

 Solventogenic clostridia offer a sustainable alternative to petroleum-based production of butanol???an important chemical feedstock and potential fuel additive or replacement. C. beijerinckii is an attractive… (more)

Subjects/Keywords: Clostridium beijerinckii; systems biology; butanol; genome-scale model

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APA (6th Edition):

Milne, C. (2011). Metabolic network reconstruction and genome-scale model of butanol-producing strain clostridium beijerinckii ncimb 8052. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/24360

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):

Milne, Caroline. “Metabolic network reconstruction and genome-scale model of butanol-producing strain clostridium beijerinckii ncimb 8052.” 2011. Thesis, University of Illinois – Urbana-Champaign. Accessed August 19, 2019. http://hdl.handle.net/2142/24360.

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

MLA Handbook (7th Edition):

Milne, Caroline. “Metabolic network reconstruction and genome-scale model of butanol-producing strain clostridium beijerinckii ncimb 8052.” 2011. Web. 19 Aug 2019.

Vancouver:

Milne C. Metabolic network reconstruction and genome-scale model of butanol-producing strain clostridium beijerinckii ncimb 8052. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/2142/24360.

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

Council of Science Editors:

Milne C. Metabolic network reconstruction and genome-scale model of butanol-producing strain clostridium beijerinckii ncimb 8052. [Thesis]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/24360

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


University of Illinois – Urbana-Champaign

3. Sung, Jaeyun. Systems approaches to identify molecular signatures from high-throughput expression data: towards next generation patient diagnostics.

Degree: PhD, 0300, 2012, University of Illinois – Urbana-Champaign

 The advent of high-throughput (so called “omics”) technologies for the comprehensive and rapid measurement of virtually all molecular components within human cells, tissues, organs, and… (more)

Subjects/Keywords: Translational Bioinformatics; Systems Biology; Transcriptomics; Classification

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APA (6th Edition):

Sung, J. (2012). Systems approaches to identify molecular signatures from high-throughput expression data: towards next generation patient diagnostics. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/34469

Chicago Manual of Style (16th Edition):

Sung, Jaeyun. “Systems approaches to identify molecular signatures from high-throughput expression data: towards next generation patient diagnostics.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 19, 2019. http://hdl.handle.net/2142/34469.

MLA Handbook (7th Edition):

Sung, Jaeyun. “Systems approaches to identify molecular signatures from high-throughput expression data: towards next generation patient diagnostics.” 2012. Web. 19 Aug 2019.

Vancouver:

Sung J. Systems approaches to identify molecular signatures from high-throughput expression data: towards next generation patient diagnostics. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/2142/34469.

Council of Science Editors:

Sung J. Systems approaches to identify molecular signatures from high-throughput expression data: towards next generation patient diagnostics. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/34469


University of Illinois – Urbana-Champaign

4. Magis, Andrew. Next-generation sequencing analysis and RNA editing in human brain and glioma.

Degree: PhD, 0319, 2014, University of Illinois – Urbana-Champaign

 RNA sequencing (RNA-seq) is one of the most common technologies in use today for the analysis of gene expression and transcriptome variation in biological samples… (more)

Subjects/Keywords: RNA sequencing; next-generation sequencing; microarray; transcriptomics; Illumina; single end; paired end; alignment; Tophat; Bowtie; Burrows-Wheeler; classification; top-scoring pair; top-scoring triplet; relative expression; RNA editing; adenosine deaminase, RNA-specific (ADAR); adenosine deaminase; Glioma; glioblastoma; astrocytoma

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APA (6th Edition):

Magis, A. (2014). Next-generation sequencing analysis and RNA editing in human brain and glioma. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/46939

Chicago Manual of Style (16th Edition):

Magis, Andrew. “Next-generation sequencing analysis and RNA editing in human brain and glioma.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 19, 2019. http://hdl.handle.net/2142/46939.

MLA Handbook (7th Edition):

Magis, Andrew. “Next-generation sequencing analysis and RNA editing in human brain and glioma.” 2014. Web. 19 Aug 2019.

Vancouver:

Magis A. Next-generation sequencing analysis and RNA editing in human brain and glioma. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/2142/46939.

Council of Science Editors:

Magis A. Next-generation sequencing analysis and RNA editing in human brain and glioma. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/46939


University of Illinois – Urbana-Champaign

5. Benedict, Matthew N. Computer-assisted generation and curation of genome-scale metabolic models with case studies in the methanogen genus Methanosarcina.

Degree: PhD, 0300, 2014, University of Illinois – Urbana-Champaign

 Methanogenic archaea, organisms that make methane as a byproduct of their metabolism, play a critical role in the global carbon cycle and have potential as… (more)

Subjects/Keywords: Metabolic modeling; Genome scale models; Systems biology; Comparative genomics; Methanogens; Methanosarcina; Network curation; Gap filling

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APA (6th Edition):

Benedict, M. N. (2014). Computer-assisted generation and curation of genome-scale metabolic models with case studies in the methanogen genus Methanosarcina. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/49855

Chicago Manual of Style (16th Edition):

Benedict, Matthew N. “Computer-assisted generation and curation of genome-scale metabolic models with case studies in the methanogen genus Methanosarcina.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 19, 2019. http://hdl.handle.net/2142/49855.

MLA Handbook (7th Edition):

Benedict, Matthew N. “Computer-assisted generation and curation of genome-scale metabolic models with case studies in the methanogen genus Methanosarcina.” 2014. Web. 19 Aug 2019.

Vancouver:

Benedict MN. Computer-assisted generation and curation of genome-scale metabolic models with case studies in the methanogen genus Methanosarcina. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/2142/49855.

Council of Science Editors:

Benedict MN. Computer-assisted generation and curation of genome-scale metabolic models with case studies in the methanogen genus Methanosarcina. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/49855


University of Illinois – Urbana-Champaign

6. Porter, Caroline. A systems biology approach to understanding and improving butanol production in clostridium beijerinckii.

Degree: PhD, 0300, 2014, University of Illinois – Urbana-Champaign

 Solventogenic clostridia offer a sustainable alternative to petroleum-based production of butanol—an important chemical feedstock and potential fuel additive or replacement. Clostridium beijerinckii is an attractive… (more)

Subjects/Keywords: Systems Biology; Clostridium beijerinckii; Butanol; Constraint-based Modeling; Metabolomics

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APA (6th Edition):

Porter, C. (2014). A systems biology approach to understanding and improving butanol production in clostridium beijerinckii. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/46844

Chicago Manual of Style (16th Edition):

Porter, Caroline. “A systems biology approach to understanding and improving butanol production in clostridium beijerinckii.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 19, 2019. http://hdl.handle.net/2142/46844.

MLA Handbook (7th Edition):

Porter, Caroline. “A systems biology approach to understanding and improving butanol production in clostridium beijerinckii.” 2014. Web. 19 Aug 2019.

Vancouver:

Porter C. A systems biology approach to understanding and improving butanol production in clostridium beijerinckii. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/2142/46844.

Council of Science Editors:

Porter C. A systems biology approach to understanding and improving butanol production in clostridium beijerinckii. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/46844


University of Illinois – Urbana-Champaign

7. Ko, Youn Hee. A study of computational methods to analyze gene expression data.

Degree: PhD, 0112, 2011, University of Illinois – Urbana-Champaign

 The recent advent of new technologies has led to huge amounts of genomic data. With these data come new opportunities to understand biological cellular processes… (more)

Subjects/Keywords: Gene network; Bayesian network; Bayesian mixture model; Principal component analysis (PCA); Markov chain Monte Carlo (MCMC); in situ hybridization; brain; Eigen-brain; cell-type specificity

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APA (6th Edition):

Ko, Y. H. (2011). A study of computational methods to analyze gene expression data. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/18574

Chicago Manual of Style (16th Edition):

Ko, Youn Hee. “A study of computational methods to analyze gene expression data.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 19, 2019. http://hdl.handle.net/2142/18574.

MLA Handbook (7th Edition):

Ko, Youn Hee. “A study of computational methods to analyze gene expression data.” 2011. Web. 19 Aug 2019.

Vancouver:

Ko YH. A study of computational methods to analyze gene expression data. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/2142/18574.

Council of Science Editors:

Ko YH. A study of computational methods to analyze gene expression data. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/18574


University of Illinois – Urbana-Champaign

8. Wang, Yi. Transcriptomic analyses of Clostridium beijerinckii NCIMB 8052 during transition from acidogenesis to solventogenesis and under butyrate supplemented conditions.

Degree: PhD, 5163, 2012, University of Illinois – Urbana-Champaign

 Today, the exhaustion of fossil fuel resources and the deterioration of the natural environment drive people to seek alternative bio-based fuels and chemicals from renewable… (more)

Subjects/Keywords: Clostridium beijerinckii; Biofuel; Butanol; Transcriptomic analysis; RNA-Seq; Butyrate supplementation

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APA (6th Edition):

Wang, Y. (2012). Transcriptomic analyses of Clostridium beijerinckii NCIMB 8052 during transition from acidogenesis to solventogenesis and under butyrate supplemented conditions. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/34440

Chicago Manual of Style (16th Edition):

Wang, Yi. “Transcriptomic analyses of Clostridium beijerinckii NCIMB 8052 during transition from acidogenesis to solventogenesis and under butyrate supplemented conditions.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 19, 2019. http://hdl.handle.net/2142/34440.

MLA Handbook (7th Edition):

Wang, Yi. “Transcriptomic analyses of Clostridium beijerinckii NCIMB 8052 during transition from acidogenesis to solventogenesis and under butyrate supplemented conditions.” 2012. Web. 19 Aug 2019.

Vancouver:

Wang Y. Transcriptomic analyses of Clostridium beijerinckii NCIMB 8052 during transition from acidogenesis to solventogenesis and under butyrate supplemented conditions. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/2142/34440.

Council of Science Editors:

Wang Y. Transcriptomic analyses of Clostridium beijerinckii NCIMB 8052 during transition from acidogenesis to solventogenesis and under butyrate supplemented conditions. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/34440


University of Illinois – Urbana-Champaign

9. Kramb, Ryan C. The effects of particle shape, size, and interaction on colloidal glasses and gels.

Degree: PhD, 0300, 2011, University of Illinois – Urbana-Champaign

 Using multiple step seeded emulsion polymerization reactions, colloid particles of tunable shape are synthesized from polystyrene. In all, four particle shapes are studied referred to… (more)

Subjects/Keywords: colloids; rheology; suspensions; shape anisotropy; glasses; Gels

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APA (6th Edition):

Kramb, R. C. (2011). The effects of particle shape, size, and interaction on colloidal glasses and gels. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/18295

Chicago Manual of Style (16th Edition):

Kramb, Ryan C. “The effects of particle shape, size, and interaction on colloidal glasses and gels.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 19, 2019. http://hdl.handle.net/2142/18295.

MLA Handbook (7th Edition):

Kramb, Ryan C. “The effects of particle shape, size, and interaction on colloidal glasses and gels.” 2011. Web. 19 Aug 2019.

Vancouver:

Kramb RC. The effects of particle shape, size, and interaction on colloidal glasses and gels. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/2142/18295.

Council of Science Editors:

Kramb RC. The effects of particle shape, size, and interaction on colloidal glasses and gels. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/18295


University of Illinois – Urbana-Champaign

10. Henderson, Jerrod A. Tools for modulating and measuring intracellular redox environment.

Degree: PhD, 0300, 2010, University of Illinois – Urbana-Champaign

 Intracellular redox environment, the relative amount of oxidized and reduced chemical species within a cell, is important in regulating cellular processes; however, molecular mechanisms that… (more)

Subjects/Keywords: redox environment; glutathione; porcine cells; electrochemical platform

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APA (6th Edition):

Henderson, J. A. (2010). Tools for modulating and measuring intracellular redox environment. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/16070

Chicago Manual of Style (16th Edition):

Henderson, Jerrod A. “Tools for modulating and measuring intracellular redox environment.” 2010. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 19, 2019. http://hdl.handle.net/2142/16070.

MLA Handbook (7th Edition):

Henderson, Jerrod A. “Tools for modulating and measuring intracellular redox environment.” 2010. Web. 19 Aug 2019.

Vancouver:

Henderson JA. Tools for modulating and measuring intracellular redox environment. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/2142/16070.

Council of Science Editors:

Henderson JA. Tools for modulating and measuring intracellular redox environment. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/16070


University of Illinois – Urbana-Champaign

11. Roberts, Elijah. Computational investigations of evolutionary transitions during development of the cellular translation and transcription machinery.

Degree: PhD, 0319, 2010, University of Illinois – Urbana-Champaign

 Evolutionary transitions, times at which the behavior of evolution as a dynamic system dramatically changes, have occurred many times throughout the history of life on… (more)

Subjects/Keywords: evolution; computational biology; ribosomal signatures; co-evolution; horizontal gene transfer; ribosomal protein S4; reaction-diffusion master equation; chemical master equation; lattice microbe; graphics processing unit (GPU); lac operon; in vivo crowding

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APA (6th Edition):

Roberts, E. (2010). Computational investigations of evolutionary transitions during development of the cellular translation and transcription machinery. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/16270

Chicago Manual of Style (16th Edition):

Roberts, Elijah. “Computational investigations of evolutionary transitions during development of the cellular translation and transcription machinery.” 2010. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 19, 2019. http://hdl.handle.net/2142/16270.

MLA Handbook (7th Edition):

Roberts, Elijah. “Computational investigations of evolutionary transitions during development of the cellular translation and transcription machinery.” 2010. Web. 19 Aug 2019.

Vancouver:

Roberts E. Computational investigations of evolutionary transitions during development of the cellular translation and transcription machinery. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/2142/16270.

Council of Science Editors:

Roberts E. Computational investigations of evolutionary transitions during development of the cellular translation and transcription machinery. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/16270

12. Benedict, Matthew N. Genome scale metabolic reconstruction and hypothesis testing in the methanogenic archaeon Methanosarcina acetivorans C2A.

Degree: MS, 0300, 2011, University of Illinois – Urbana-Champaign

 Methanosarcina acetivorans strain C2A is a marine methanogenic archaeon notable for its substrate utilization, genetic tractability, and novel energy conservation mechanisms. To help probe the… (more)

Subjects/Keywords: Methanosarcina acetivorans; Metabolic reconstruction; Flux balance analysis; Methanogen; Biofuels; Global Warming

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APA (6th Edition):

Benedict, M. N. (2011). Genome scale metabolic reconstruction and hypothesis testing in the methanogenic archaeon Methanosarcina acetivorans C2A. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/24509

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):

Benedict, Matthew N. “Genome scale metabolic reconstruction and hypothesis testing in the methanogenic archaeon Methanosarcina acetivorans C2A.” 2011. Thesis, University of Illinois – Urbana-Champaign. Accessed August 19, 2019. http://hdl.handle.net/2142/24509.

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

MLA Handbook (7th Edition):

Benedict, Matthew N. “Genome scale metabolic reconstruction and hypothesis testing in the methanogenic archaeon Methanosarcina acetivorans C2A.” 2011. Web. 19 Aug 2019.

Vancouver:

Benedict MN. Genome scale metabolic reconstruction and hypothesis testing in the methanogenic archaeon Methanosarcina acetivorans C2A. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/2142/24509.

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

Council of Science Editors:

Benedict MN. Genome scale metabolic reconstruction and hypothesis testing in the methanogenic archaeon Methanosarcina acetivorans C2A. [Thesis]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/24509

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

13. Gonnerman, Matthew C. An updated genome scale metabolic reconstruction of methanosarcina barkeri.

Degree: MS, 0300, 2011, University of Illinois – Urbana-Champaign

 Methanosarcina barkeri is a methanogen, meaning that methane is the reduced product for energy generation. M. barkeri can grow on several substrates including methanol, acetate,… (more)

Subjects/Keywords: Methanosarcina; barkeri; Methanogen; Metabolic; Reconstruction

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APA (6th Edition):

Gonnerman, M. C. (2011). An updated genome scale metabolic reconstruction of methanosarcina barkeri. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/24426

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):

Gonnerman, Matthew C. “An updated genome scale metabolic reconstruction of methanosarcina barkeri.” 2011. Thesis, University of Illinois – Urbana-Champaign. Accessed August 19, 2019. http://hdl.handle.net/2142/24426.

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

MLA Handbook (7th Edition):

Gonnerman, Matthew C. “An updated genome scale metabolic reconstruction of methanosarcina barkeri.” 2011. Web. 19 Aug 2019.

Vancouver:

Gonnerman MC. An updated genome scale metabolic reconstruction of methanosarcina barkeri. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/2142/24426.

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

Council of Science Editors:

Gonnerman MC. An updated genome scale metabolic reconstruction of methanosarcina barkeri. [Thesis]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/24426

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

14. Caballero, Bozena. Analysis of the PROM algorithm as a tool to generate genome-scale metabolic-regulatory networks.

Degree: MS, 0300, 2012, University of Illinois – Urbana-Champaign

 In this paper, we analyzed the capability of PROM’s algorithm to generate genome – ‐scale metabolic – ‐regulatory networks, which accurately predict growth phenotypes of transcriptional regulatory… (more)

Subjects/Keywords: probabilistic regulation of metabolism (PROM); genome-scale metabolic-regulatory networks; growth phenotype predictions; modeling flux changes

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APA (6th Edition):

Caballero, B. (2012). Analysis of the PROM algorithm as a tool to generate genome-scale metabolic-regulatory networks. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/34309

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):

Caballero, Bozena. “Analysis of the PROM algorithm as a tool to generate genome-scale metabolic-regulatory networks.” 2012. Thesis, University of Illinois – Urbana-Champaign. Accessed August 19, 2019. http://hdl.handle.net/2142/34309.

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

MLA Handbook (7th Edition):

Caballero, Bozena. “Analysis of the PROM algorithm as a tool to generate genome-scale metabolic-regulatory networks.” 2012. Web. 19 Aug 2019.

Vancouver:

Caballero B. Analysis of the PROM algorithm as a tool to generate genome-scale metabolic-regulatory networks. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/2142/34309.

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

Council of Science Editors:

Caballero B. Analysis of the PROM algorithm as a tool to generate genome-scale metabolic-regulatory networks. [Thesis]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/34309

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

15. Wang, Chunjing. A systems approach to the different grades and progression of human astrocytoma.

Degree: MS, 0300, 2011, University of Illinois – Urbana-Champaign

 Astrocytomas are the most common glioma, accounting for about half of all primary brain and spinal cord tumors. Malignancy in these tumors ranges from the… (more)

Subjects/Keywords: Systems biology; Human astrocytoma; progression; network classifier; prognosis; classification

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APA (6th Edition):

Wang, C. (2011). A systems approach to the different grades and progression of human astrocytoma. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/26406

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):

Wang, Chunjing. “A systems approach to the different grades and progression of human astrocytoma.” 2011. Thesis, University of Illinois – Urbana-Champaign. Accessed August 19, 2019. http://hdl.handle.net/2142/26406.

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

MLA Handbook (7th Edition):

Wang, Chunjing. “A systems approach to the different grades and progression of human astrocytoma.” 2011. Web. 19 Aug 2019.

Vancouver:

Wang C. A systems approach to the different grades and progression of human astrocytoma. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/2142/26406.

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

Council of Science Editors:

Wang C. A systems approach to the different grades and progression of human astrocytoma. [Thesis]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/26406

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

16. Wang, Yuliang. Meta-analysis of liver transcriptomic data identifies accurate disease classifiers and disease perturbed networks.

Degree: MS, 0300, 2011, University of Illinois – Urbana-Champaign

 Chronic liver diseases are a major health problem. Previous DNA microarray studies of different liver diseases have improved our knowledge of the molecular pathogenesis of… (more)

Subjects/Keywords: microarray; meta-analysis; disease transcriptomic signature; network perturbation

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APA (6th Edition):

Wang, Y. (2011). Meta-analysis of liver transcriptomic data identifies accurate disease classifiers and disease perturbed networks. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/24023

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):

Wang, Yuliang. “Meta-analysis of liver transcriptomic data identifies accurate disease classifiers and disease perturbed networks.” 2011. Thesis, University of Illinois – Urbana-Champaign. Accessed August 19, 2019. http://hdl.handle.net/2142/24023.

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

MLA Handbook (7th Edition):

Wang, Yuliang. “Meta-analysis of liver transcriptomic data identifies accurate disease classifiers and disease perturbed networks.” 2011. Web. 19 Aug 2019.

Vancouver:

Wang Y. Meta-analysis of liver transcriptomic data identifies accurate disease classifiers and disease perturbed networks. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/2142/24023.

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

Council of Science Editors:

Wang Y. Meta-analysis of liver transcriptomic data identifies accurate disease classifiers and disease perturbed networks. [Thesis]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/24023

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

17. Ma, Shuyi. Lung disease diagnosis from gene expression profiles.

Degree: MS, 0300, 2011, University of Illinois – Urbana-Champaign

 Lung diseases include some of the most widespread and deadly conditions known to affect people in the US today. One of the main challenges in… (more)

Subjects/Keywords: lung disease; lung cancer; asthma; Chronic obstructive pulmonary disease (COPD); disease diagnosis; systems biology; Top Scoring Pair algorithm

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APA (6th Edition):

Ma, S. (2011). Lung disease diagnosis from gene expression profiles. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/24449

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):

Ma, Shuyi. “Lung disease diagnosis from gene expression profiles.” 2011. Thesis, University of Illinois – Urbana-Champaign. Accessed August 19, 2019. http://hdl.handle.net/2142/24449.

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

MLA Handbook (7th Edition):

Ma, Shuyi. “Lung disease diagnosis from gene expression profiles.” 2011. Web. 19 Aug 2019.

Vancouver:

Ma S. Lung disease diagnosis from gene expression profiles. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/2142/24449.

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

Council of Science Editors:

Ma S. Lung disease diagnosis from gene expression profiles. [Thesis]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/24449

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

18. Richards, Matthew. Improving Methanosarcina genome-scale models for strain design by incorporating cofactor specificity and free energy constraints.

Degree: MS, 0300, 2013, University of Illinois – Urbana-Champaign

 Genome-scale metabolic models have the potential to revolutionize synthetic biology by informing the development of modified organism strains with enhanced production of desired compounds. A… (more)

Subjects/Keywords: Methanosarcina; Barkeri; Acetivorans; cofactor specificity; free energy constraints; thermodynamic constraints

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APA (6th Edition):

Richards, M. (2013). Improving Methanosarcina genome-scale models for strain design by incorporating cofactor specificity and free energy constraints. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/44811

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):

Richards, Matthew. “Improving Methanosarcina genome-scale models for strain design by incorporating cofactor specificity and free energy constraints.” 2013. Thesis, University of Illinois – Urbana-Champaign. Accessed August 19, 2019. http://hdl.handle.net/2142/44811.

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

MLA Handbook (7th Edition):

Richards, Matthew. “Improving Methanosarcina genome-scale models for strain design by incorporating cofactor specificity and free energy constraints.” 2013. Web. 19 Aug 2019.

Vancouver:

Richards M. Improving Methanosarcina genome-scale models for strain design by incorporating cofactor specificity and free energy constraints. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2013. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/2142/44811.

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

Council of Science Editors:

Richards M. Improving Methanosarcina genome-scale models for strain design by incorporating cofactor specificity and free energy constraints. [Thesis]. University of Illinois – Urbana-Champaign; 2013. Available from: http://hdl.handle.net/2142/44811

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

19. Eddy, James. Identifying and modeling perturbed networks in cancer through statistical and constraint-based analysis.

Degree: PhD, 0408, 2013, University of Illinois – Urbana-Champaign

 I was introduced to systems and computational biology as an undergraduate at the University of Virginia. In pursuing projects both for independent and thesis research,… (more)

Subjects/Keywords: Systems biology; computational biology; biological networks; expression analysis; constraint-based modeling

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APA (6th Edition):

Eddy, J. (2013). Identifying and modeling perturbed networks in cancer through statistical and constraint-based analysis. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/45459

Chicago Manual of Style (16th Edition):

Eddy, James. “Identifying and modeling perturbed networks in cancer through statistical and constraint-based analysis.” 2013. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 19, 2019. http://hdl.handle.net/2142/45459.

MLA Handbook (7th Edition):

Eddy, James. “Identifying and modeling perturbed networks in cancer through statistical and constraint-based analysis.” 2013. Web. 19 Aug 2019.

Vancouver:

Eddy J. Identifying and modeling perturbed networks in cancer through statistical and constraint-based analysis. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2013. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/2142/45459.

Council of Science Editors:

Eddy J. Identifying and modeling perturbed networks in cancer through statistical and constraint-based analysis. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2013. Available from: http://hdl.handle.net/2142/45459

20. Chandrasekaran, Sriram. Transcriptional regulation of metabolism and behavior: insights from reconstruction and modeling of complex biochemical networks.

Degree: PhD, 0319, 2013, University of Illinois – Urbana-Champaign

 The genotype and the environment significantly influence the behavior and phenotype of an organism. Yet the mechanism by which a simple genetic change or environmental… (more)

Subjects/Keywords: Systems Biology; Metabolism; Gene Regulation; Social Behavior; Neuroscience; Machine learning; Genomics; Data Mining

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

APA (6th Edition):

Chandrasekaran, S. (2013). Transcriptional regulation of metabolism and behavior: insights from reconstruction and modeling of complex biochemical networks. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/45486

Chicago Manual of Style (16th Edition):

Chandrasekaran, Sriram. “Transcriptional regulation of metabolism and behavior: insights from reconstruction and modeling of complex biochemical networks.” 2013. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 19, 2019. http://hdl.handle.net/2142/45486.

MLA Handbook (7th Edition):

Chandrasekaran, Sriram. “Transcriptional regulation of metabolism and behavior: insights from reconstruction and modeling of complex biochemical networks.” 2013. Web. 19 Aug 2019.

Vancouver:

Chandrasekaran S. Transcriptional regulation of metabolism and behavior: insights from reconstruction and modeling of complex biochemical networks. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2013. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/2142/45486.

Council of Science Editors:

Chandrasekaran S. Transcriptional regulation of metabolism and behavior: insights from reconstruction and modeling of complex biochemical networks. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2013. Available from: http://hdl.handle.net/2142/45486

21. Wang, Yuliang. Integrating statistical and mechanistic modeling to analyze disease omic data.

Degree: PhD, 0300, 2014, University of Illinois – Urbana-Champaign

 The advent of high throughput technologies has enabled large-scale measurements of the genome, transcriptome, proteome and metabolome of tissues samples, serum and even single cells.… (more)

Subjects/Keywords: gene expression data analysis; disease molecular signatures; protein interaction networks; metabolic networks; automated network reconstruction; constraint-based analysis

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

APA (6th Edition):

Wang, Y. (2014). Integrating statistical and mechanistic modeling to analyze disease omic data. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/46759

Chicago Manual of Style (16th Edition):

Wang, Yuliang. “Integrating statistical and mechanistic modeling to analyze disease omic data.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 19, 2019. http://hdl.handle.net/2142/46759.

MLA Handbook (7th Edition):

Wang, Yuliang. “Integrating statistical and mechanistic modeling to analyze disease omic data.” 2014. Web. 19 Aug 2019.

Vancouver:

Wang Y. Integrating statistical and mechanistic modeling to analyze disease omic data. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/2142/46759.

Council of Science Editors:

Wang Y. Integrating statistical and mechanistic modeling to analyze disease omic data. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/46759

22. Ma, Shuyi. Systems biology of lung diseases: a multi-perspective view from host and pathogen.

Degree: PhD, 0300, 2015, University of Illinois – Urbana-Champaign

 Lung diseases include some of the most widespread and deadly conditions known to affect people around the world. The challenges of clinically tackling lung diseases… (more)

Subjects/Keywords: systems biology; lung disease; disease classification; transcriptomics; tuberculosis; constraint-based modeling; metabolism; regulation

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

APA (6th Edition):

Ma, S. (2015). Systems biology of lung diseases: a multi-perspective view from host and pathogen. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/73048

Chicago Manual of Style (16th Edition):

Ma, Shuyi. “Systems biology of lung diseases: a multi-perspective view from host and pathogen.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 19, 2019. http://hdl.handle.net/2142/73048.

MLA Handbook (7th Edition):

Ma, Shuyi. “Systems biology of lung diseases: a multi-perspective view from host and pathogen.” 2015. Web. 19 Aug 2019.

Vancouver:

Ma S. Systems biology of lung diseases: a multi-perspective view from host and pathogen. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/2142/73048.

Council of Science Editors:

Ma S. Systems biology of lung diseases: a multi-perspective view from host and pathogen. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/73048

23. Wang, Chunjing. Characterizing and analyzing disease-related omics data using network modeling approaches.

Degree: PhD, 0300, 2014, University of Illinois – Urbana-Champaign

 Systems biology explores how the components that constitute a biological system interact with each other to produce biological phenotypes. A number of tools for comprehensive… (more)

Subjects/Keywords: Bioinformatics; Systems biology; Transcriptomics; Proteomics; Metabolomics; Isobaric tags for relative and absolute quantitation (iTRAQ); Microarray; Astrocytoma; Heterogeneity; Glioblastoma; Genome-wide metabolic reconstruction; Mouse liver model; Diabetes; primary GBM and secondary GBM; network analysis; EPONFKB; Suvival and prognostic biomarker; metabolic Context-specificity Assessed by Deterministic Reaction Evaluation (mCADRE); Differential Rank Conservation (DIRAC)

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

APA (6th Edition):

Wang, C. (2014). Characterizing and analyzing disease-related omics data using network modeling approaches. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/49528

Chicago Manual of Style (16th Edition):

Wang, Chunjing. “Characterizing and analyzing disease-related omics data using network modeling approaches.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 19, 2019. http://hdl.handle.net/2142/49528.

MLA Handbook (7th Edition):

Wang, Chunjing. “Characterizing and analyzing disease-related omics data using network modeling approaches.” 2014. Web. 19 Aug 2019.

Vancouver:

Wang C. Characterizing and analyzing disease-related omics data using network modeling approaches. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/2142/49528.

Council of Science Editors:

Wang C. Characterizing and analyzing disease-related omics data using network modeling approaches. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/49528

24. Cao, Xiaoyi. Modeling transcriptomic dynamics and epigenomic conservation.

Degree: PhD, 0319, 2013, University of Illinois – Urbana-Champaign

 Gene regulatory networks control gene expression during various biological processes, including two sets with similarity: differentiation processes of embryonic stem (ES) cells and embryo development… (more)

Subjects/Keywords: Gene clustering; Temporal patterns clustering; Temporal patterns comparison; Epigenomic comparison

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APA (6th Edition):

Cao, X. (2013). Modeling transcriptomic dynamics and epigenomic conservation. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/42326

Chicago Manual of Style (16th Edition):

Cao, Xiaoyi. “Modeling transcriptomic dynamics and epigenomic conservation.” 2013. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 19, 2019. http://hdl.handle.net/2142/42326.

MLA Handbook (7th Edition):

Cao, Xiaoyi. “Modeling transcriptomic dynamics and epigenomic conservation.” 2013. Web. 19 Aug 2019.

Vancouver:

Cao X. Modeling transcriptomic dynamics and epigenomic conservation. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2013. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/2142/42326.

Council of Science Editors:

Cao X. Modeling transcriptomic dynamics and epigenomic conservation. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2013. Available from: http://hdl.handle.net/2142/42326

25. Xie, Dan. Applying integrative computational models to study the evolution of gene regulation.

Degree: PhD, 0408, 2011, University of Illinois – Urbana-Champaign

 Gene regulatory networks dynamically control the expression levels of all the genes, and are the keys in explaining various phenotypes and biological processes. The advance… (more)

Subjects/Keywords: Systems biology; Gene Regulatory Network; Gene expression; Transcription factor binding site; Evolution; Epigenetics; Histone modification; Deoxyribonucleic Acid (DNA) Methylation; Genomics; Embryonic stem cells

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APA (6th Edition):

Xie, D. (2011). Applying integrative computational models to study the evolution of gene regulation. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/26308

Chicago Manual of Style (16th Edition):

Xie, Dan. “Applying integrative computational models to study the evolution of gene regulation.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 19, 2019. http://hdl.handle.net/2142/26308.

MLA Handbook (7th Edition):

Xie, Dan. “Applying integrative computational models to study the evolution of gene regulation.” 2011. Web. 19 Aug 2019.

Vancouver:

Xie D. Applying integrative computational models to study the evolution of gene regulation. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/2142/26308.

Council of Science Editors:

Xie D. Applying integrative computational models to study the evolution of gene regulation. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/26308

26. Sullivan, Ryan P. Engineering a Fungal L-Arabinose Pathway Towards the Co-Utilization of Hemicellulosic Sugars for Production of Xylitol.

Degree: PhD, 0300, 2011, University of Illinois – Urbana-Champaign

 The biosynthesis of value-added products has shown great promise in recent years due to the advances in molecular biology and protein engineering. Many advantages over… (more)

Subjects/Keywords: Xylitol production; L-arabinitol dehydrogenase; cofactor balancing; Neurospora crassa; nicotinamide regeneration; rational design; directed evolution; fungal arabinose pathway

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APA (6th Edition):

Sullivan, R. P. (2011). Engineering a Fungal L-Arabinose Pathway Towards the Co-Utilization of Hemicellulosic Sugars for Production of Xylitol. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/18812

Chicago Manual of Style (16th Edition):

Sullivan, Ryan P. “Engineering a Fungal L-Arabinose Pathway Towards the Co-Utilization of Hemicellulosic Sugars for Production of Xylitol.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 19, 2019. http://hdl.handle.net/2142/18812.

MLA Handbook (7th Edition):

Sullivan, Ryan P. “Engineering a Fungal L-Arabinose Pathway Towards the Co-Utilization of Hemicellulosic Sugars for Production of Xylitol.” 2011. Web. 19 Aug 2019.

Vancouver:

Sullivan RP. Engineering a Fungal L-Arabinose Pathway Towards the Co-Utilization of Hemicellulosic Sugars for Production of Xylitol. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/2142/18812.

Council of Science Editors:

Sullivan RP. Engineering a Fungal L-Arabinose Pathway Towards the Co-Utilization of Hemicellulosic Sugars for Production of Xylitol. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/18812

.