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You searched for subject:(Codon Model). Showing records 1 – 5 of 5 total matches.

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University of Edinburgh

1. Mantzaris, Alexander Vassilios. Improved Bayesian methods for detecting recombination and rate heterogeneity in DNA sequence alignments.

Degree: PhD, 2011, University of Edinburgh

 DNA sequence alignments are usually not homogeneous. Mosaic structures may result as a consequence of recombination or rate heterogeneity. Interspecific recombination, in which DNA subsequences… (more)

Subjects/Keywords: 572.85; rate heterogeneity; recombination; DNA sequence alignments; Bayesian models; phylogenetic factorial hidden Markov model; FHMM; within-codon rate

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APA (6th Edition):

Mantzaris, A. V. (2011). Improved Bayesian methods for detecting recombination and rate heterogeneity in DNA sequence alignments. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/5735

Chicago Manual of Style (16th Edition):

Mantzaris, Alexander Vassilios. “Improved Bayesian methods for detecting recombination and rate heterogeneity in DNA sequence alignments.” 2011. Doctoral Dissertation, University of Edinburgh. Accessed May 06, 2021. http://hdl.handle.net/1842/5735.

MLA Handbook (7th Edition):

Mantzaris, Alexander Vassilios. “Improved Bayesian methods for detecting recombination and rate heterogeneity in DNA sequence alignments.” 2011. Web. 06 May 2021.

Vancouver:

Mantzaris AV. Improved Bayesian methods for detecting recombination and rate heterogeneity in DNA sequence alignments. [Internet] [Doctoral dissertation]. University of Edinburgh; 2011. [cited 2021 May 06]. Available from: http://hdl.handle.net/1842/5735.

Council of Science Editors:

Mantzaris AV. Improved Bayesian methods for detecting recombination and rate heterogeneity in DNA sequence alignments. [Doctoral Dissertation]. University of Edinburgh; 2011. Available from: http://hdl.handle.net/1842/5735


University of Texas – Austin

2. Feng, Shujuan. Mixed-effect modeling of codon usage.

Degree: MSin Statistics, Statistics, 2010, University of Texas – Austin

 Logistic mixed effects models are used to determine whether optimal codons associate with two specific properties of the expressed protein: solvent accessibility, aggregation propensity, or… (more)

Subjects/Keywords: Logistic mixed effects; Model selection procedures; Optimal codon usage

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APA (6th Edition):

Feng, S. (2010). Mixed-effect modeling of codon usage. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-12-2234

Chicago Manual of Style (16th Edition):

Feng, Shujuan. “Mixed-effect modeling of codon usage.” 2010. Masters Thesis, University of Texas – Austin. Accessed May 06, 2021. http://hdl.handle.net/2152/ETD-UT-2010-12-2234.

MLA Handbook (7th Edition):

Feng, Shujuan. “Mixed-effect modeling of codon usage.” 2010. Web. 06 May 2021.

Vancouver:

Feng S. Mixed-effect modeling of codon usage. [Internet] [Masters thesis]. University of Texas – Austin; 2010. [cited 2021 May 06]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-12-2234.

Council of Science Editors:

Feng S. Mixed-effect modeling of codon usage. [Masters Thesis]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-12-2234


North Carolina State University

3. Mannino, Frank Vincent. Site-to-site Rate Variation in Protein Coding Genes.

Degree: PhD, Bioinformatics, 2006, North Carolina State University

 The ability to realistically model gene evolution improved dramatically with the rejection of the assumption that rates are constant across sites. Rate heterogeneity models allow… (more)

Subjects/Keywords: codon model; synonymous and nonsynonymous substitution rates; site-to-site rate heterogeneity; molecular evolution; gamma distribution; rate correlation

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

APA (6th Edition):

Mannino, F. V. (2006). Site-to-site Rate Variation in Protein Coding Genes. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/4400

Chicago Manual of Style (16th Edition):

Mannino, Frank Vincent. “Site-to-site Rate Variation in Protein Coding Genes.” 2006. Doctoral Dissertation, North Carolina State University. Accessed May 06, 2021. http://www.lib.ncsu.edu/resolver/1840.16/4400.

MLA Handbook (7th Edition):

Mannino, Frank Vincent. “Site-to-site Rate Variation in Protein Coding Genes.” 2006. Web. 06 May 2021.

Vancouver:

Mannino FV. Site-to-site Rate Variation in Protein Coding Genes. [Internet] [Doctoral dissertation]. North Carolina State University; 2006. [cited 2021 May 06]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4400.

Council of Science Editors:

Mannino FV. Site-to-site Rate Variation in Protein Coding Genes. [Doctoral Dissertation]. North Carolina State University; 2006. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4400


Georgia Tech

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

Degree: PhD, Biology, 2010, Georgia Tech

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Zhu, Wenhan. “Improvement of ab initio methods of gene prediction in genomic and metagenomic sequences.” 2010. Doctoral Dissertation, Georgia Tech. Accessed May 06, 2021. http://hdl.handle.net/1853/33869.

MLA Handbook (7th Edition):

Zhu, Wenhan. “Improvement of ab initio methods of gene prediction in genomic and metagenomic sequences.” 2010. Web. 06 May 2021.

Vancouver:

Zhu W. Improvement of ab initio methods of gene prediction in genomic and metagenomic sequences. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2021 May 06]. Available from: http://hdl.handle.net/1853/33869.

Council of Science Editors:

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

5. Parto, Sahar. Bayesian codon models for detecting convergent molecular adaptation.

Degree: 2018, Université de Montréal

Subjects/Keywords: Évolution; Mutation; Modèle à Codon; Pression de Sélection; Inférence Bayésienne; Sélection Différentielle; VIH; Rubisco; Evolution; Mutation; Codon Model; Selective Pressure; Bayesian Inference; Differential Selection; HIV; Rubisco; Biology - Bioinformatics / Biologie - Bio-informatique (UMI : 0715)

…nucleotide, amino acid or codon-based models. Regardless of the type of the model, and mostly for… …4.1 Improving statistical power of DS model… …50 Figure 2-3. Comparison of global selection profile estimated by DS model (b)… …96 Figure 3-3. Global and Differential Selection profiles for position 306-331, by model… …model… 

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

APA (6th Edition):

Parto, S. (2018). Bayesian codon models for detecting convergent molecular adaptation. (Thesis). Université de Montréal. Retrieved from http://hdl.handle.net/1866/21190

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):

Parto, Sahar. “Bayesian codon models for detecting convergent molecular adaptation.” 2018. Thesis, Université de Montréal. Accessed May 06, 2021. http://hdl.handle.net/1866/21190.

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

MLA Handbook (7th Edition):

Parto, Sahar. “Bayesian codon models for detecting convergent molecular adaptation.” 2018. Web. 06 May 2021.

Vancouver:

Parto S. Bayesian codon models for detecting convergent molecular adaptation. [Internet] [Thesis]. Université de Montréal; 2018. [cited 2021 May 06]. Available from: http://hdl.handle.net/1866/21190.

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

Council of Science Editors:

Parto S. Bayesian codon models for detecting convergent molecular adaptation. [Thesis]. Université de Montréal; 2018. Available from: http://hdl.handle.net/1866/21190

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

.