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You searched for subject:(Sequence structure alignment). Showing records 1 – 19 of 19 total matches.

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University of Missouri – Columbia

1. Deng, Xin. Improved computational methods of protein sequence alignment, model selection and tertiary structure prediction.

Degree: 2013, University of Missouri – Columbia

 Protein sequence and profile alignment has been used essentially in most bioinformatics tasks such as protein structure modeling, function prediction, and phylogenetic analysis. We designed… (more)

Subjects/Keywords: protein sequence alignment; solvent accessibility; protein structure prediction; protein model selection; Amino acid sequence; Solvents  – Analysis; Sequence alignment (Bioinformatics)

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APA (6th Edition):

Deng, X. (2013). Improved computational methods of protein sequence alignment, model selection and tertiary structure prediction. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/46126

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):

Deng, Xin. “Improved computational methods of protein sequence alignment, model selection and tertiary structure prediction.” 2013. Thesis, University of Missouri – Columbia. Accessed March 30, 2020. http://hdl.handle.net/10355/46126.

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

MLA Handbook (7th Edition):

Deng, Xin. “Improved computational methods of protein sequence alignment, model selection and tertiary structure prediction.” 2013. Web. 30 Mar 2020.

Vancouver:

Deng X. Improved computational methods of protein sequence alignment, model selection and tertiary structure prediction. [Internet] [Thesis]. University of Missouri – Columbia; 2013. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10355/46126.

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

Council of Science Editors:

Deng X. Improved computational methods of protein sequence alignment, model selection and tertiary structure prediction. [Thesis]. University of Missouri – Columbia; 2013. Available from: http://hdl.handle.net/10355/46126

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


Rochester Institute of Technology

2. Schulze, Katharina. Identification of Structural Signatures Within Transcription Factor Binding Sites and Their Flanking Regions in Saccharomyces cerevisiae Enhanced Through ΔTRX Based Multiple Sequence Alignment.

Degree: MS, Thomas H. Gosnell School of Life Sciences (COS), 2014, Rochester Institute of Technology

  Traditional transcription factor binding site analyses focus solely on the nucleotide composition of site despite the fact that more recent studies have shown transcription… (more)

Subjects/Keywords: DNA structure; Multiple sequence alignment; Transcription factor binding sites

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APA (6th Edition):

Schulze, K. (2014). Identification of Structural Signatures Within Transcription Factor Binding Sites and Their Flanking Regions in Saccharomyces cerevisiae Enhanced Through ΔTRX Based Multiple Sequence Alignment. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/8368

Chicago Manual of Style (16th Edition):

Schulze, Katharina. “Identification of Structural Signatures Within Transcription Factor Binding Sites and Their Flanking Regions in Saccharomyces cerevisiae Enhanced Through ΔTRX Based Multiple Sequence Alignment.” 2014. Masters Thesis, Rochester Institute of Technology. Accessed March 30, 2020. https://scholarworks.rit.edu/theses/8368.

MLA Handbook (7th Edition):

Schulze, Katharina. “Identification of Structural Signatures Within Transcription Factor Binding Sites and Their Flanking Regions in Saccharomyces cerevisiae Enhanced Through ΔTRX Based Multiple Sequence Alignment.” 2014. Web. 30 Mar 2020.

Vancouver:

Schulze K. Identification of Structural Signatures Within Transcription Factor Binding Sites and Their Flanking Regions in Saccharomyces cerevisiae Enhanced Through ΔTRX Based Multiple Sequence Alignment. [Internet] [Masters thesis]. Rochester Institute of Technology; 2014. [cited 2020 Mar 30]. Available from: https://scholarworks.rit.edu/theses/8368.

Council of Science Editors:

Schulze K. Identification of Structural Signatures Within Transcription Factor Binding Sites and Their Flanking Regions in Saccharomyces cerevisiae Enhanced Through ΔTRX Based Multiple Sequence Alignment. [Masters Thesis]. Rochester Institute of Technology; 2014. Available from: https://scholarworks.rit.edu/theses/8368


Columbia University

3. Xu, Tianchuan. Loop Prediction and Homology Modeling with High Resolution.

Degree: 2020, Columbia University

 Three-dimensional (3D) structure of a protein is essential as the guidance of structure-based drug dis-covery. To achieve robust homology modeling with atomic-level accuracy, reliable loop… (more)

Subjects/Keywords: Bioinformatics; Proteins – Structure – Computer simulation; Homology (Biology); Sequence alignment (Bioinformatics)

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APA (6th Edition):

Xu, T. (2020). Loop Prediction and Homology Modeling with High Resolution. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/d8-1dqz-y485

Chicago Manual of Style (16th Edition):

Xu, Tianchuan. “Loop Prediction and Homology Modeling with High Resolution.” 2020. Doctoral Dissertation, Columbia University. Accessed March 30, 2020. https://doi.org/10.7916/d8-1dqz-y485.

MLA Handbook (7th Edition):

Xu, Tianchuan. “Loop Prediction and Homology Modeling with High Resolution.” 2020. Web. 30 Mar 2020.

Vancouver:

Xu T. Loop Prediction and Homology Modeling with High Resolution. [Internet] [Doctoral dissertation]. Columbia University; 2020. [cited 2020 Mar 30]. Available from: https://doi.org/10.7916/d8-1dqz-y485.

Council of Science Editors:

Xu T. Loop Prediction and Homology Modeling with High Resolution. [Doctoral Dissertation]. Columbia University; 2020. Available from: https://doi.org/10.7916/d8-1dqz-y485


University of Georgia

4. Huang, Zhibin. Computational search of RNA pseudoknots and structural variations in genomes.

Degree: PhD, Computer Science, 2011, University of Georgia

 Non-coding RNA (ncRNA) secondary structural homologs can be detected effectively in genomes based on a covariance model (CM) and associated dynamic programming algorithms. However, the… (more)

Subjects/Keywords: ncRNA structure search; Sequence structure alignment; pseudoknot; ncRNA structure variation; RNA structure evolution; Graph tree decomposition; Dynamic Programming

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APA (6th Edition):

Huang, Z. (2011). Computational search of RNA pseudoknots and structural variations in genomes. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/huang_zhibin_201105_phd

Chicago Manual of Style (16th Edition):

Huang, Zhibin. “Computational search of RNA pseudoknots and structural variations in genomes.” 2011. Doctoral Dissertation, University of Georgia. Accessed March 30, 2020. http://purl.galileo.usg.edu/uga_etd/huang_zhibin_201105_phd.

MLA Handbook (7th Edition):

Huang, Zhibin. “Computational search of RNA pseudoknots and structural variations in genomes.” 2011. Web. 30 Mar 2020.

Vancouver:

Huang Z. Computational search of RNA pseudoknots and structural variations in genomes. [Internet] [Doctoral dissertation]. University of Georgia; 2011. [cited 2020 Mar 30]. Available from: http://purl.galileo.usg.edu/uga_etd/huang_zhibin_201105_phd.

Council of Science Editors:

Huang Z. Computational search of RNA pseudoknots and structural variations in genomes. [Doctoral Dissertation]. University of Georgia; 2011. Available from: http://purl.galileo.usg.edu/uga_etd/huang_zhibin_201105_phd


Arizona State University

5. Ravichandran, Lakshminarayan. Waveform Mapping and Time-Frequency Processing of Biological Sequences and Structures.

Degree: PhD, Electrical Engineering, 2011, Arizona State University

 Genomic and proteomic sequences, which are in the form of deoxyribonucleic acid (DNA) and amino acids respectively, play a vital role in the structure, function… (more)

Subjects/Keywords: Engineering; Bioinformatics; Molecular Biology; chirp signal; classification; DNA sequence alignment; Gaussian signal; protein structure alignment; querying

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APA (6th Edition):

Ravichandran, L. (2011). Waveform Mapping and Time-Frequency Processing of Biological Sequences and Structures. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/9483

Chicago Manual of Style (16th Edition):

Ravichandran, Lakshminarayan. “Waveform Mapping and Time-Frequency Processing of Biological Sequences and Structures.” 2011. Doctoral Dissertation, Arizona State University. Accessed March 30, 2020. http://repository.asu.edu/items/9483.

MLA Handbook (7th Edition):

Ravichandran, Lakshminarayan. “Waveform Mapping and Time-Frequency Processing of Biological Sequences and Structures.” 2011. Web. 30 Mar 2020.

Vancouver:

Ravichandran L. Waveform Mapping and Time-Frequency Processing of Biological Sequences and Structures. [Internet] [Doctoral dissertation]. Arizona State University; 2011. [cited 2020 Mar 30]. Available from: http://repository.asu.edu/items/9483.

Council of Science Editors:

Ravichandran L. Waveform Mapping and Time-Frequency Processing of Biological Sequences and Structures. [Doctoral Dissertation]. Arizona State University; 2011. Available from: http://repository.asu.edu/items/9483


University of Western Ontario

6. Dickson, Russell J. Computational Molecular Coevolution.

Degree: 2013, University of Western Ontario

 A major goal in computational biochemistry is to obtain three-dimensional structure information from protein sequence. Coevolution represents a biological mechanism through which structural information can… (more)

Subjects/Keywords: Coevolution; multiple sequence alignment; protein structure prediction; local covariation; protein family curation; Mutual Information; Bioinformatics

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APA (6th Edition):

Dickson, R. J. (2013). Computational Molecular Coevolution. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/1798

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):

Dickson, Russell J. “Computational Molecular Coevolution.” 2013. Thesis, University of Western Ontario. Accessed March 30, 2020. https://ir.lib.uwo.ca/etd/1798.

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

MLA Handbook (7th Edition):

Dickson, Russell J. “Computational Molecular Coevolution.” 2013. Web. 30 Mar 2020.

Vancouver:

Dickson RJ. Computational Molecular Coevolution. [Internet] [Thesis]. University of Western Ontario; 2013. [cited 2020 Mar 30]. Available from: https://ir.lib.uwo.ca/etd/1798.

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

Council of Science Editors:

Dickson RJ. Computational Molecular Coevolution. [Thesis]. University of Western Ontario; 2013. Available from: https://ir.lib.uwo.ca/etd/1798

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


Bowling Green State University

7. Mokdad, Ali G. DEVELOPING TOOLS FOR RNA STRUCTURAL ALIGNMENT.

Degree: PhD, Biological Sciences, 2006, Bowling Green State University

 This work addresses current problems of RNA sequence alignment and describes different tools for solving them. RNA molecules form basepairs that fold the molecule into… (more)

Subjects/Keywords: RNA sequence alignment; 3D structure; tertiary interaction; secondary structure; automatic alignment

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APA (6th Edition):

Mokdad, A. G. (2006). DEVELOPING TOOLS FOR RNA STRUCTURAL ALIGNMENT. (Doctoral Dissertation). Bowling Green State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1143320655

Chicago Manual of Style (16th Edition):

Mokdad, Ali G. “DEVELOPING TOOLS FOR RNA STRUCTURAL ALIGNMENT.” 2006. Doctoral Dissertation, Bowling Green State University. Accessed March 30, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1143320655.

MLA Handbook (7th Edition):

Mokdad, Ali G. “DEVELOPING TOOLS FOR RNA STRUCTURAL ALIGNMENT.” 2006. Web. 30 Mar 2020.

Vancouver:

Mokdad AG. DEVELOPING TOOLS FOR RNA STRUCTURAL ALIGNMENT. [Internet] [Doctoral dissertation]. Bowling Green State University; 2006. [cited 2020 Mar 30]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1143320655.

Council of Science Editors:

Mokdad AG. DEVELOPING TOOLS FOR RNA STRUCTURAL ALIGNMENT. [Doctoral Dissertation]. Bowling Green State University; 2006. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1143320655


Universitat Pompeu Fabra

8. Kemena, Carsten, 1983-. Improving the accuracy and the efficiency of multiple sequence alignment methods.

Degree: Departament de Ciències Experimentals i de la Salut, 2012, Universitat Pompeu Fabra

 El alineamiento es uno de los métodos básicos en la comparación de secuencias biológicas, y a menudo el primer pasó en análisis posteriores. Por su… (more)

Subjects/Keywords: Bioinformatics; Multiple sequence alignment; Alignment evaluation; Large-scale alignment; Protein structure; RNA structure; Bioinformática; Alineamiento múltiple de secuencias; Evaluación de alineamientos; Alineamientos múltiples de secuencia a gran escala; Estructura de proteínas; Estructura de ARN; 577

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APA (6th Edition):

Kemena, Carsten, 1. (2012). Improving the accuracy and the efficiency of multiple sequence alignment methods. (Thesis). Universitat Pompeu Fabra. Retrieved from http://hdl.handle.net/10803/128678

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):

Kemena, Carsten, 1983-. “Improving the accuracy and the efficiency of multiple sequence alignment methods.” 2012. Thesis, Universitat Pompeu Fabra. Accessed March 30, 2020. http://hdl.handle.net/10803/128678.

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

MLA Handbook (7th Edition):

Kemena, Carsten, 1983-. “Improving the accuracy and the efficiency of multiple sequence alignment methods.” 2012. Web. 30 Mar 2020.

Vancouver:

Kemena, Carsten 1. Improving the accuracy and the efficiency of multiple sequence alignment methods. [Internet] [Thesis]. Universitat Pompeu Fabra; 2012. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10803/128678.

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

Council of Science Editors:

Kemena, Carsten 1. Improving the accuracy and the efficiency of multiple sequence alignment methods. [Thesis]. Universitat Pompeu Fabra; 2012. Available from: http://hdl.handle.net/10803/128678

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


University of Oxford

9. Herman, Joseph L. Multiple sequence analysis in the presence of alignment uncertainty.

Degree: PhD, 2014, University of Oxford

Sequence alignment is one of the most intensely studied problems in bioinformatics, and is an important step in a wide range of analyses. An issue… (more)

Subjects/Keywords: 572.8; Bioinformatics (life sciences); Structural genomics; Mathematical genetics and bioinformatics (statistics); Stochastic processes; Probability; multiple sequence alignment; structural alignment; alignment uncertainty; statistical alignment; Bayesian phylogenetics; Markov chain Monte Carlo; globin evolution; graphical models; directed acyclic graphs; stochastic context-free grammars; hidden Markov models; sequence annotation; RNA secondary structure

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APA (6th Edition):

Herman, J. L. (2014). Multiple sequence analysis in the presence of alignment uncertainty. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:88a56d9f-a96e-48e3-b8dc-a73f3efc8472 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.635293

Chicago Manual of Style (16th Edition):

Herman, Joseph L. “Multiple sequence analysis in the presence of alignment uncertainty.” 2014. Doctoral Dissertation, University of Oxford. Accessed March 30, 2020. http://ora.ox.ac.uk/objects/uuid:88a56d9f-a96e-48e3-b8dc-a73f3efc8472 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.635293.

MLA Handbook (7th Edition):

Herman, Joseph L. “Multiple sequence analysis in the presence of alignment uncertainty.” 2014. Web. 30 Mar 2020.

Vancouver:

Herman JL. Multiple sequence analysis in the presence of alignment uncertainty. [Internet] [Doctoral dissertation]. University of Oxford; 2014. [cited 2020 Mar 30]. Available from: http://ora.ox.ac.uk/objects/uuid:88a56d9f-a96e-48e3-b8dc-a73f3efc8472 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.635293.

Council of Science Editors:

Herman JL. Multiple sequence analysis in the presence of alignment uncertainty. [Doctoral Dissertation]. University of Oxford; 2014. Available from: http://ora.ox.ac.uk/objects/uuid:88a56d9f-a96e-48e3-b8dc-a73f3efc8472 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.635293

10. Shang, Lei, active 2013. Improving secondary structure prediction with covariation analysis and structure-based alignment system of RNA sequences.

Degree: PhD, Cell and Molecular Biology, 2013, University of Texas – Austin

 RNA molecules form complex higher-order structures which are essential to perform their biological activities. The accurate prediction of an RNA secondary structure and other higher-order… (more)

Subjects/Keywords: PEC; Comparative analysis; Covariation analysis; Secondary structure prediction; Sequence alignment; Structure-based alignment; CRWAlign2; HIV

…RNA secondary structure with comparative analysis, and the automated sequence alignment of… …system I have developed, CRWAlign-2, retrieves template sequence alignment, secondary structure… …66 The creation of the reference sequence alignment and aligning query sequences… …bacterial 16S rRNA sequence alignment. Total variation in each pairwise set of sequences (… …sequences within each node; (b) Template sequence alignment with seven sequences… 

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APA (6th Edition):

Shang, Lei, a. 2. (2013). Improving secondary structure prediction with covariation analysis and structure-based alignment system of RNA sequences. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/23111

Chicago Manual of Style (16th Edition):

Shang, Lei, active 2013. “Improving secondary structure prediction with covariation analysis and structure-based alignment system of RNA sequences.” 2013. Doctoral Dissertation, University of Texas – Austin. Accessed March 30, 2020. http://hdl.handle.net/2152/23111.

MLA Handbook (7th Edition):

Shang, Lei, active 2013. “Improving secondary structure prediction with covariation analysis and structure-based alignment system of RNA sequences.” 2013. Web. 30 Mar 2020.

Vancouver:

Shang, Lei a2. Improving secondary structure prediction with covariation analysis and structure-based alignment system of RNA sequences. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2013. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/2152/23111.

Council of Science Editors:

Shang, Lei a2. Improving secondary structure prediction with covariation analysis and structure-based alignment system of RNA sequences. [Doctoral Dissertation]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/23111


The Ohio State University

11. Ozer, Hatice Gulcin. Residue Associations In Protein Family Alignments.

Degree: PhD, Biophysics, 2008, The Ohio State University

  The increasing amount of data on biomolecule sequences and their multiple alignments for families, has promoted an interest in discovering structural and functional characteristics… (more)

Subjects/Keywords: Bioinformatics; Biophysics; Family Alignment; Positional Dependency; Amino Acid Correlation; Residue Correlation; Residue Association; Protein Sequence; Protein Structure; Pfam database; Bioinformatics; Fisher Exact test; Phi coefficient

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APA (6th Edition):

Ozer, H. G. (2008). Residue Associations In Protein Family Alignments. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1211570026

Chicago Manual of Style (16th Edition):

Ozer, Hatice Gulcin. “Residue Associations In Protein Family Alignments.” 2008. Doctoral Dissertation, The Ohio State University. Accessed March 30, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1211570026.

MLA Handbook (7th Edition):

Ozer, Hatice Gulcin. “Residue Associations In Protein Family Alignments.” 2008. Web. 30 Mar 2020.

Vancouver:

Ozer HG. Residue Associations In Protein Family Alignments. [Internet] [Doctoral dissertation]. The Ohio State University; 2008. [cited 2020 Mar 30]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1211570026.

Council of Science Editors:

Ozer HG. Residue Associations In Protein Family Alignments. [Doctoral Dissertation]. The Ohio State University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1211570026

12. SUN JUN. Kernel engineering on parse trees.

Degree: 2011, National University of Singapore

Subjects/Keywords: Kernel Methods; Natural Language Processing; Tree Sequence; Structure Alignment; Relation Extraction; Machine Translation

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APA (6th Edition):

JUN, S. (2011). Kernel engineering on parse trees. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/29938

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):

JUN, SUN. “Kernel engineering on parse trees.” 2011. Thesis, National University of Singapore. Accessed March 30, 2020. http://scholarbank.nus.edu.sg/handle/10635/29938.

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

MLA Handbook (7th Edition):

JUN, SUN. “Kernel engineering on parse trees.” 2011. Web. 30 Mar 2020.

Vancouver:

JUN S. Kernel engineering on parse trees. [Internet] [Thesis]. National University of Singapore; 2011. [cited 2020 Mar 30]. Available from: http://scholarbank.nus.edu.sg/handle/10635/29938.

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

Council of Science Editors:

JUN S. Kernel engineering on parse trees. [Thesis]. National University of Singapore; 2011. Available from: http://scholarbank.nus.edu.sg/handle/10635/29938

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


University of New Orleans

13. Zhao, Zhiyu. Robust and Efficient Algorithms for Protein 3-D Structure Alignment and Genome Sequence Comparison.

Degree: PhD, Computer Science, 2008, University of New Orleans

Sequence analysis and structure analysis are two of the fundamental areas of bioinformatics research. This dissertation discusses, specifically, protein structure related problems including protein structure(more)

Subjects/Keywords: Sequence Analysis; Structure Analysis; Protein Structure Alignment; Protein Structure Query; Haplotype Reconstruction and Genome Rearrangement

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APA (6th Edition):

Zhao, Z. (2008). Robust and Efficient Algorithms for Protein 3-D Structure Alignment and Genome Sequence Comparison. (Doctoral Dissertation). University of New Orleans. Retrieved from https://scholarworks.uno.edu/td/851

Chicago Manual of Style (16th Edition):

Zhao, Zhiyu. “Robust and Efficient Algorithms for Protein 3-D Structure Alignment and Genome Sequence Comparison.” 2008. Doctoral Dissertation, University of New Orleans. Accessed March 30, 2020. https://scholarworks.uno.edu/td/851.

MLA Handbook (7th Edition):

Zhao, Zhiyu. “Robust and Efficient Algorithms for Protein 3-D Structure Alignment and Genome Sequence Comparison.” 2008. Web. 30 Mar 2020.

Vancouver:

Zhao Z. Robust and Efficient Algorithms for Protein 3-D Structure Alignment and Genome Sequence Comparison. [Internet] [Doctoral dissertation]. University of New Orleans; 2008. [cited 2020 Mar 30]. Available from: https://scholarworks.uno.edu/td/851.

Council of Science Editors:

Zhao Z. Robust and Efficient Algorithms for Protein 3-D Structure Alignment and Genome Sequence Comparison. [Doctoral Dissertation]. University of New Orleans; 2008. Available from: https://scholarworks.uno.edu/td/851


University of Florida

14. De Kee, Danny W. Protein sequence divergence relative to protein folding.

Degree: PhD, Chemistry, 2004, University of Florida

Subjects/Keywords: Active sites; Amino acids; Crystal structure; Databases; Divergent evolution; Family structure; Proteins; Sequence alignment; Structural members; Wheels

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APA (6th Edition):

De Kee, D. W. (2004). Protein sequence divergence relative to protein folding. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/AA00039567

Chicago Manual of Style (16th Edition):

De Kee, Danny W. “Protein sequence divergence relative to protein folding.” 2004. Doctoral Dissertation, University of Florida. Accessed March 30, 2020. http://ufdc.ufl.edu/AA00039567.

MLA Handbook (7th Edition):

De Kee, Danny W. “Protein sequence divergence relative to protein folding.” 2004. Web. 30 Mar 2020.

Vancouver:

De Kee DW. Protein sequence divergence relative to protein folding. [Internet] [Doctoral dissertation]. University of Florida; 2004. [cited 2020 Mar 30]. Available from: http://ufdc.ufl.edu/AA00039567.

Council of Science Editors:

De Kee DW. Protein sequence divergence relative to protein folding. [Doctoral Dissertation]. University of Florida; 2004. Available from: http://ufdc.ufl.edu/AA00039567


University of Waterloo

15. Lee, En-Shiun Annie. Training of Template-Specific Weighted Energy Function for Sequence-to-Structure Alignment.

Degree: 2008, University of Waterloo

 Threading is a protein structure prediction method that uses a library of template protein structures in the following steps: first the target sequence is matched… (more)

Subjects/Keywords: Bioinformatics; Protein Structure Prediction; Comparative Modelling; Energy Function; Sequence-to-Structure Alignment; Template Selection; Threading; Machine Learning; Weighted Linear Least Squares

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APA (6th Edition):

Lee, E. A. (2008). Training of Template-Specific Weighted Energy Function for Sequence-to-Structure Alignment. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/4060

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):

Lee, En-Shiun Annie. “Training of Template-Specific Weighted Energy Function for Sequence-to-Structure Alignment.” 2008. Thesis, University of Waterloo. Accessed March 30, 2020. http://hdl.handle.net/10012/4060.

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

MLA Handbook (7th Edition):

Lee, En-Shiun Annie. “Training of Template-Specific Weighted Energy Function for Sequence-to-Structure Alignment.” 2008. Web. 30 Mar 2020.

Vancouver:

Lee EA. Training of Template-Specific Weighted Energy Function for Sequence-to-Structure Alignment. [Internet] [Thesis]. University of Waterloo; 2008. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10012/4060.

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

Council of Science Editors:

Lee EA. Training of Template-Specific Weighted Energy Function for Sequence-to-Structure Alignment. [Thesis]. University of Waterloo; 2008. Available from: http://hdl.handle.net/10012/4060

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


University of Florida

16. Gates, Ami. State-of-the-Art Protein Secondary-Structure Prediction Using a Novel Two-Stage Alignment and Machine-Learning Method.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2008, University of Florida

 While the complexity of biological systems often appears intractable, living organisms possess an underlying correlation derived from their hierarchical association. This notion enables methods such… (more)

Subjects/Keywords: Amino acids; Blasts; Databases; Datasets; Machine learning; Mathematical vectors; Matrices; Neural networks; Proteins; Sequence alignment; machine, prediction, protein, secondary, structure, support, vector

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

APA (6th Edition):

Gates, A. (2008). State-of-the-Art Protein Secondary-Structure Prediction Using a Novel Two-Stage Alignment and Machine-Learning Method. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0023862

Chicago Manual of Style (16th Edition):

Gates, Ami. “State-of-the-Art Protein Secondary-Structure Prediction Using a Novel Two-Stage Alignment and Machine-Learning Method.” 2008. Doctoral Dissertation, University of Florida. Accessed March 30, 2020. http://ufdc.ufl.edu/UFE0023862.

MLA Handbook (7th Edition):

Gates, Ami. “State-of-the-Art Protein Secondary-Structure Prediction Using a Novel Two-Stage Alignment and Machine-Learning Method.” 2008. Web. 30 Mar 2020.

Vancouver:

Gates A. State-of-the-Art Protein Secondary-Structure Prediction Using a Novel Two-Stage Alignment and Machine-Learning Method. [Internet] [Doctoral dissertation]. University of Florida; 2008. [cited 2020 Mar 30]. Available from: http://ufdc.ufl.edu/UFE0023862.

Council of Science Editors:

Gates A. State-of-the-Art Protein Secondary-Structure Prediction Using a Novel Two-Stage Alignment and Machine-Learning Method. [Doctoral Dissertation]. University of Florida; 2008. Available from: http://ufdc.ufl.edu/UFE0023862


Vrije Universiteit Amsterdam

17. Pirovano, W.A. Comparing building blocks of life: sequence alignment and evaluation of predicted structural and functional features .

Degree: 2010, Vrije Universiteit Amsterdam

Subjects/Keywords: Comparing building blocks of life: evaluation of predicted structural and functional features; Multiple sequence alignment; protein sequence analysis; protein structure prediction; protein function prediction; transmembrane proteins; protein subfamilies; specificity determining residues;

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APA (6th Edition):

Pirovano, W. A. (2010). Comparing building blocks of life: sequence alignment and evaluation of predicted structural and functional features . (Doctoral Dissertation). Vrije Universiteit Amsterdam. Retrieved from http://hdl.handle.net/1871/15597

Chicago Manual of Style (16th Edition):

Pirovano, W A. “Comparing building blocks of life: sequence alignment and evaluation of predicted structural and functional features .” 2010. Doctoral Dissertation, Vrije Universiteit Amsterdam. Accessed March 30, 2020. http://hdl.handle.net/1871/15597.

MLA Handbook (7th Edition):

Pirovano, W A. “Comparing building blocks of life: sequence alignment and evaluation of predicted structural and functional features .” 2010. Web. 30 Mar 2020.

Vancouver:

Pirovano WA. Comparing building blocks of life: sequence alignment and evaluation of predicted structural and functional features . [Internet] [Doctoral dissertation]. Vrije Universiteit Amsterdam; 2010. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/1871/15597.

Council of Science Editors:

Pirovano WA. Comparing building blocks of life: sequence alignment and evaluation of predicted structural and functional features . [Doctoral Dissertation]. Vrije Universiteit Amsterdam; 2010. Available from: http://hdl.handle.net/1871/15597

18. Belghiti, Moulay Tayeb. Modélisation et techniques d'optimisation en bio-informatique et fouille de données : Modelling and techniques of optimization in bioinformatics and data mining.

Degree: Docteur es, Mathématiques appliquées, 2008, Rouen, INSA

Cette thèse est particulièrement destinée à traiter deux types de problèmes : clustering et l'alignement multiple de séquence. Notre objectif est de résoudre de manière… (more)

Subjects/Keywords: Optimisation combinatoire; Classification non supervisée; Optimisation convexe et non convexe; Clustering; Alignement multiple de séquence; Méthode des noyaux; Alignement par structure; Optimisation DC et algorithme DCA; Clustering; Multiple alignment of sequence; Programming DC; Algorithm DC; Method of the kernel; Nonconvex optimization

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

APA (6th Edition):

Belghiti, M. T. (2008). Modélisation et techniques d'optimisation en bio-informatique et fouille de données : Modelling and techniques of optimization in bioinformatics and data mining. (Doctoral Dissertation). Rouen, INSA. Retrieved from http://www.theses.fr/2008ISAM0002

Chicago Manual of Style (16th Edition):

Belghiti, Moulay Tayeb. “Modélisation et techniques d'optimisation en bio-informatique et fouille de données : Modelling and techniques of optimization in bioinformatics and data mining.” 2008. Doctoral Dissertation, Rouen, INSA. Accessed March 30, 2020. http://www.theses.fr/2008ISAM0002.

MLA Handbook (7th Edition):

Belghiti, Moulay Tayeb. “Modélisation et techniques d'optimisation en bio-informatique et fouille de données : Modelling and techniques of optimization in bioinformatics and data mining.” 2008. Web. 30 Mar 2020.

Vancouver:

Belghiti MT. Modélisation et techniques d'optimisation en bio-informatique et fouille de données : Modelling and techniques of optimization in bioinformatics and data mining. [Internet] [Doctoral dissertation]. Rouen, INSA; 2008. [cited 2020 Mar 30]. Available from: http://www.theses.fr/2008ISAM0002.

Council of Science Editors:

Belghiti MT. Modélisation et techniques d'optimisation en bio-informatique et fouille de données : Modelling and techniques of optimization in bioinformatics and data mining. [Doctoral Dissertation]. Rouen, INSA; 2008. Available from: http://www.theses.fr/2008ISAM0002

19. Leila de Fátima Sousa Carvalho. BLOOM BLAST Object Oriented Management: uma solução integrada para gerenciamento dos resultados do BLAST por meio de um paradigma orientado a objetos.

Degree: 2003, Universidade Católica de Brasilia

Considerada uma disciplina especial desde o início dos anos 80, a bioinformática pode ser definida como uma modalidade que abrange todos os aspectos de aquisição,… (more)

Subjects/Keywords: CIENCIA DA COMPUTACAO; projeto genoma; estrutura secundária de proteína; árvore filogenética; FAST; BLAST; BLOSUM; comparação de seqüências; PAM; programação dinâmica; métodos de alinhamento de seqüências; proteína; RNA; DNA; biologia molecular computacional; bioinformática; protein secondary structure; FAST; BLAST; BLOSUM; PAM; dynamic programming; sequence alignment methods; sequence comparison; protein; RNA; computational molecular biology; DNA; bioinformatics; phylogenetic tree; genome project; CIENCIA DA COMPUTACAO

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

APA (6th Edition):

Carvalho, L. d. F. S. (2003). BLOOM BLAST Object Oriented Management: uma solução integrada para gerenciamento dos resultados do BLAST por meio de um paradigma orientado a objetos. (Masters Thesis). Universidade Católica de Brasilia. Retrieved from http://www.bdtd.ucb.br/tede/tde_busca/arquivo.php?codArquivo=5

Chicago Manual of Style (16th Edition):

Carvalho, Leila de Fátima Sousa. “BLOOM BLAST Object Oriented Management: uma solução integrada para gerenciamento dos resultados do BLAST por meio de um paradigma orientado a objetos.” 2003. Masters Thesis, Universidade Católica de Brasilia. Accessed March 30, 2020. http://www.bdtd.ucb.br/tede/tde_busca/arquivo.php?codArquivo=5.

MLA Handbook (7th Edition):

Carvalho, Leila de Fátima Sousa. “BLOOM BLAST Object Oriented Management: uma solução integrada para gerenciamento dos resultados do BLAST por meio de um paradigma orientado a objetos.” 2003. Web. 30 Mar 2020.

Vancouver:

Carvalho LdFS. BLOOM BLAST Object Oriented Management: uma solução integrada para gerenciamento dos resultados do BLAST por meio de um paradigma orientado a objetos. [Internet] [Masters thesis]. Universidade Católica de Brasilia; 2003. [cited 2020 Mar 30]. Available from: http://www.bdtd.ucb.br/tede/tde_busca/arquivo.php?codArquivo=5.

Council of Science Editors:

Carvalho LdFS. BLOOM BLAST Object Oriented Management: uma solução integrada para gerenciamento dos resultados do BLAST por meio de um paradigma orientado a objetos. [Masters Thesis]. Universidade Católica de Brasilia; 2003. Available from: http://www.bdtd.ucb.br/tede/tde_busca/arquivo.php?codArquivo=5

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