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University: The Ohio State University

You searched for subject:(bioinformatics). Showing records 1 – 30 of 89 total matches.

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The Ohio State University

1. Castleberry, Alissa. Integrated Analysis of Multi-Omics Data Using Sparse Canonical Correlation Analysis.

Degree: MS, Public Health, 2019, The Ohio State University

 BackgroundSparse canonical correlation analysis (SCCA) is a multivariate statistical model that uses constraints to find linear relationships between high dimensional data sets. In this study,… (more)

Subjects/Keywords: Bioinformatics

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APA (6th Edition):

Castleberry, A. (2019). Integrated Analysis of Multi-Omics Data Using Sparse Canonical Correlation Analysis. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu15544898045976

Chicago Manual of Style (16th Edition):

Castleberry, Alissa. “Integrated Analysis of Multi-Omics Data Using Sparse Canonical Correlation Analysis.” 2019. Masters Thesis, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu15544898045976.

MLA Handbook (7th Edition):

Castleberry, Alissa. “Integrated Analysis of Multi-Omics Data Using Sparse Canonical Correlation Analysis.” 2019. Web. 18 Sep 2019.

Vancouver:

Castleberry A. Integrated Analysis of Multi-Omics Data Using Sparse Canonical Correlation Analysis. [Internet] [Masters thesis]. The Ohio State University; 2019. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu15544898045976.

Council of Science Editors:

Castleberry A. Integrated Analysis of Multi-Omics Data Using Sparse Canonical Correlation Analysis. [Masters Thesis]. The Ohio State University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu15544898045976

2. Abrams, Zachary. A Translational Bioinformatics Approach to Parsing and Mapping ISCN Karyotypes: A Computational Cytogenetic Analysis of Chronic Lymphocytic Leukemia (CLL).

Degree: PhD, Integrated Biomedical Science Graduate Program, 2016, The Ohio State University

 Translational Bioinformatics is the field of study pertaining to the interpretation, analysis, and storage of large volumes of biomedical data for the purpose of improving… (more)

Subjects/Keywords: Bioinformatics

…Biology & Bioinformatics, January 2014 – Present €¦ €¦ €¦..NLM Graduate Fellow, Department of… …Secondary Field: Translational Bioinformatics vii TABLE OF CONTENTS Abstract… …Introduction Translational Bioinformatics (TBI) is the scientific field of study pertaining… …premises of precision medicine, a key element of translational bioinformatics wherein the… 

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APA (6th Edition):

Abrams, Z. (2016). A Translational Bioinformatics Approach to Parsing and Mapping ISCN Karyotypes: A Computational Cytogenetic Analysis of Chronic Lymphocytic Leukemia (CLL). (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1461078174

Chicago Manual of Style (16th Edition):

Abrams, Zachary. “A Translational Bioinformatics Approach to Parsing and Mapping ISCN Karyotypes: A Computational Cytogenetic Analysis of Chronic Lymphocytic Leukemia (CLL).” 2016. Doctoral Dissertation, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1461078174.

MLA Handbook (7th Edition):

Abrams, Zachary. “A Translational Bioinformatics Approach to Parsing and Mapping ISCN Karyotypes: A Computational Cytogenetic Analysis of Chronic Lymphocytic Leukemia (CLL).” 2016. Web. 18 Sep 2019.

Vancouver:

Abrams Z. A Translational Bioinformatics Approach to Parsing and Mapping ISCN Karyotypes: A Computational Cytogenetic Analysis of Chronic Lymphocytic Leukemia (CLL). [Internet] [Doctoral dissertation]. The Ohio State University; 2016. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1461078174.

Council of Science Editors:

Abrams Z. A Translational Bioinformatics Approach to Parsing and Mapping ISCN Karyotypes: A Computational Cytogenetic Analysis of Chronic Lymphocytic Leukemia (CLL). [Doctoral Dissertation]. The Ohio State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1461078174

3. Oman, Kenji. Nucleic Acid High-Throughput Sequencing Studies Present Unique Challenges in Analysis and Interpretation.

Degree: PhD, Physics, 2015, The Ohio State University

 From the discovery of nucleic acids, their significance as an information carrier in the cell, and with the development of high-throughput sequencing (HTS) techniques, molecular… (more)

Subjects/Keywords: Bioinformatics

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APA (6th Edition):

Oman, K. (2015). Nucleic Acid High-Throughput Sequencing Studies Present Unique Challenges in Analysis and Interpretation. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1437681208

Chicago Manual of Style (16th Edition):

Oman, Kenji. “Nucleic Acid High-Throughput Sequencing Studies Present Unique Challenges in Analysis and Interpretation.” 2015. Doctoral Dissertation, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1437681208.

MLA Handbook (7th Edition):

Oman, Kenji. “Nucleic Acid High-Throughput Sequencing Studies Present Unique Challenges in Analysis and Interpretation.” 2015. Web. 18 Sep 2019.

Vancouver:

Oman K. Nucleic Acid High-Throughput Sequencing Studies Present Unique Challenges in Analysis and Interpretation. [Internet] [Doctoral dissertation]. The Ohio State University; 2015. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1437681208.

Council of Science Editors:

Oman K. Nucleic Acid High-Throughput Sequencing Studies Present Unique Challenges in Analysis and Interpretation. [Doctoral Dissertation]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1437681208

4. Morgan, Daniel Colin. A Gene Co-Expression Network Mining Approach for Differential Expression Analysis.

Degree: MS, Public Health, 2015, The Ohio State University

 Biomarkers are the actionable factors differentiating any condition states, specifically disease response and non-response to treatment. They have been used as screening measures to indicate… (more)

Subjects/Keywords: Bioinformatics

…thresholds. 1.1 Individual Variation in Drug Response Bioinformatics approaches have lead to a… …networking, transportation, image processing and bioinformatics, offering insight to similarities… 

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APA (6th Edition):

Morgan, D. C. (2015). A Gene Co-Expression Network Mining Approach for Differential Expression Analysis. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1416989632

Chicago Manual of Style (16th Edition):

Morgan, Daniel Colin. “A Gene Co-Expression Network Mining Approach for Differential Expression Analysis.” 2015. Masters Thesis, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1416989632.

MLA Handbook (7th Edition):

Morgan, Daniel Colin. “A Gene Co-Expression Network Mining Approach for Differential Expression Analysis.” 2015. Web. 18 Sep 2019.

Vancouver:

Morgan DC. A Gene Co-Expression Network Mining Approach for Differential Expression Analysis. [Internet] [Masters thesis]. The Ohio State University; 2015. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1416989632.

Council of Science Editors:

Morgan DC. A Gene Co-Expression Network Mining Approach for Differential Expression Analysis. [Masters Thesis]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1416989632


The Ohio State University

5. Zucker, Mark Raymond. Inferring Clonal Heterogeneity in Chronic Lymphocytic Leukemia From High-Throughput Data.

Degree: PhD, Biomedical Sciences, 2019, The Ohio State University

 Clonal heterogeneity is common in many types of cancer, including chronic lymphocytic leukemia (CLL). Previous research suggests that the presence of multiple distinct cancer clones… (more)

Subjects/Keywords: Bioinformatics; Bioinformatics; cancer; algorithms; tumor heterogeneity

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APA (6th Edition):

Zucker, M. R. (2019). Inferring Clonal Heterogeneity in Chronic Lymphocytic Leukemia From High-Throughput Data. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1554049121307262

Chicago Manual of Style (16th Edition):

Zucker, Mark Raymond. “Inferring Clonal Heterogeneity in Chronic Lymphocytic Leukemia From High-Throughput Data.” 2019. Doctoral Dissertation, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1554049121307262.

MLA Handbook (7th Edition):

Zucker, Mark Raymond. “Inferring Clonal Heterogeneity in Chronic Lymphocytic Leukemia From High-Throughput Data.” 2019. Web. 18 Sep 2019.

Vancouver:

Zucker MR. Inferring Clonal Heterogeneity in Chronic Lymphocytic Leukemia From High-Throughput Data. [Internet] [Doctoral dissertation]. The Ohio State University; 2019. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1554049121307262.

Council of Science Editors:

Zucker MR. Inferring Clonal Heterogeneity in Chronic Lymphocytic Leukemia From High-Throughput Data. [Doctoral Dissertation]. The Ohio State University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1554049121307262


The Ohio State University

6. Wang, Chao. Integrative Analysis of Multi-modality Data in Cancer.

Degree: PhD, Electrical and Computer Engineering, 2015, The Ohio State University

 Gleaning insights of highly complex, heterogeneous cancer biology requires data collected from different levels - genetic, genomic and phenotypic. There is a high degree of… (more)

Subjects/Keywords: Computer Engineering; Bioinformatics

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APA (6th Edition):

Wang, C. (2015). Integrative Analysis of Multi-modality Data in Cancer. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1429791373

Chicago Manual of Style (16th Edition):

Wang, Chao. “Integrative Analysis of Multi-modality Data in Cancer.” 2015. Doctoral Dissertation, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429791373.

MLA Handbook (7th Edition):

Wang, Chao. “Integrative Analysis of Multi-modality Data in Cancer.” 2015. Web. 18 Sep 2019.

Vancouver:

Wang C. Integrative Analysis of Multi-modality Data in Cancer. [Internet] [Doctoral dissertation]. The Ohio State University; 2015. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1429791373.

Council of Science Editors:

Wang C. Integrative Analysis of Multi-modality Data in Cancer. [Doctoral Dissertation]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1429791373


The Ohio State University

7. Ding, Hao. Visualization and Integrative analysis of cancer multi-omics data.

Degree: PhD, Computer Science and Engineering, 2016, The Ohio State University

 Understanding and characterizing cancer heterogeneity not only generates new mechanistic insights but can also lead to personalized treatments for patients. With advances in data generation… (more)

Subjects/Keywords: Computer Science; Bioinformatics

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APA (6th Edition):

Ding, H. (2016). Visualization and Integrative analysis of cancer multi-omics data. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1467843712

Chicago Manual of Style (16th Edition):

Ding, Hao. “Visualization and Integrative analysis of cancer multi-omics data.” 2016. Doctoral Dissertation, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1467843712.

MLA Handbook (7th Edition):

Ding, Hao. “Visualization and Integrative analysis of cancer multi-omics data.” 2016. Web. 18 Sep 2019.

Vancouver:

Ding H. Visualization and Integrative analysis of cancer multi-omics data. [Internet] [Doctoral dissertation]. The Ohio State University; 2016. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1467843712.

Council of Science Editors:

Ding H. Visualization and Integrative analysis of cancer multi-omics data. [Doctoral Dissertation]. The Ohio State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1467843712


The Ohio State University

8. Brockman, Michael James. Eyetracking: A Novel Tool for Evaluating Learning.

Degree: MS, Public Health, 2018, The Ohio State University

 There exists an immense need for objective cognitive performance evaluation methods. The current standard-of-care for diagnosing cognitive fluctuations involves evaluation tests, from simple psychological experiments… (more)

Subjects/Keywords: Bioinformatics; Public Health

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APA (6th Edition):

Brockman, M. J. (2018). Eyetracking: A Novel Tool for Evaluating Learning. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1523987188501883

Chicago Manual of Style (16th Edition):

Brockman, Michael James. “Eyetracking: A Novel Tool for Evaluating Learning.” 2018. Masters Thesis, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1523987188501883.

MLA Handbook (7th Edition):

Brockman, Michael James. “Eyetracking: A Novel Tool for Evaluating Learning.” 2018. Web. 18 Sep 2019.

Vancouver:

Brockman MJ. Eyetracking: A Novel Tool for Evaluating Learning. [Internet] [Masters thesis]. The Ohio State University; 2018. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1523987188501883.

Council of Science Editors:

Brockman MJ. Eyetracking: A Novel Tool for Evaluating Learning. [Masters Thesis]. The Ohio State University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1523987188501883


The Ohio State University

9. Anderson, Jeff. Genetic Analysis Of Specialized Tumor Associated Macrophages And Tumor Associated Fibroblast.

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

 Tumor associated macrophages (TAMs) perform various task that are essential for tumor growth, angiogenesis, metastasis, and tumor invasion. Growth factors, chemokines, cytokines and the extra… (more)

Subjects/Keywords: Bioinformatics; Tumor; Macrophages; Fibroblast; IKK

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APA (6th Edition):

Anderson, J. (2008). Genetic Analysis Of Specialized Tumor Associated Macrophages And Tumor Associated Fibroblast. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1228083946

Chicago Manual of Style (16th Edition):

Anderson, Jeff. “Genetic Analysis Of Specialized Tumor Associated Macrophages And Tumor Associated Fibroblast.” 2008. Masters Thesis, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1228083946.

MLA Handbook (7th Edition):

Anderson, Jeff. “Genetic Analysis Of Specialized Tumor Associated Macrophages And Tumor Associated Fibroblast.” 2008. Web. 18 Sep 2019.

Vancouver:

Anderson J. Genetic Analysis Of Specialized Tumor Associated Macrophages And Tumor Associated Fibroblast. [Internet] [Masters thesis]. The Ohio State University; 2008. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1228083946.

Council of Science Editors:

Anderson J. Genetic Analysis Of Specialized Tumor Associated Macrophages And Tumor Associated Fibroblast. [Masters Thesis]. The Ohio State University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1228083946


The Ohio State University

10. Zhang, Xuan. Supporting on-the-fly data integration for bioinformatics.

Degree: PhD, Computer and Information Science, 2007, The Ohio State University

 The use of computational tools and on-line data knowledgebases has changed the way the biologists conduct their research. The fusion of biology and information science… (more)

Subjects/Keywords: Computer Science; information integration; bioinformatics

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APA (6th Edition):

Zhang, X. (2007). Supporting on-the-fly data integration for bioinformatics. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1171388702

Chicago Manual of Style (16th Edition):

Zhang, Xuan. “Supporting on-the-fly data integration for bioinformatics.” 2007. Doctoral Dissertation, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1171388702.

MLA Handbook (7th Edition):

Zhang, Xuan. “Supporting on-the-fly data integration for bioinformatics.” 2007. Web. 18 Sep 2019.

Vancouver:

Zhang X. Supporting on-the-fly data integration for bioinformatics. [Internet] [Doctoral dissertation]. The Ohio State University; 2007. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1171388702.

Council of Science Editors:

Zhang X. Supporting on-the-fly data integration for bioinformatics. [Doctoral Dissertation]. The Ohio State University; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1171388702


The Ohio State University

11. Ren, Kaiyu. Mapping biomedical terms to UMLS concepts by an efficient layered dynamic programming framework.

Degree: MS, Computer Science and Engineering, 2014, The Ohio State University

 In research areas such as biomedical data management and analysis, mapping medical terms to standardized UMLS concepts is an essential step desired by many applications.… (more)

Subjects/Keywords: Computer Engineering; Computer Science; Bioinformatics

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APA (6th Edition):

Ren, K. (2014). Mapping biomedical terms to UMLS concepts by an efficient layered dynamic programming framework. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1398886613

Chicago Manual of Style (16th Edition):

Ren, Kaiyu. “Mapping biomedical terms to UMLS concepts by an efficient layered dynamic programming framework.” 2014. Masters Thesis, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1398886613.

MLA Handbook (7th Edition):

Ren, Kaiyu. “Mapping biomedical terms to UMLS concepts by an efficient layered dynamic programming framework.” 2014. Web. 18 Sep 2019.

Vancouver:

Ren K. Mapping biomedical terms to UMLS concepts by an efficient layered dynamic programming framework. [Internet] [Masters thesis]. The Ohio State University; 2014. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1398886613.

Council of Science Editors:

Ren K. Mapping biomedical terms to UMLS concepts by an efficient layered dynamic programming framework. [Masters Thesis]. The Ohio State University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1398886613


The Ohio State University

12. Hernandez-Garcia, Carlos M. ISOLATION AND CHARACTERIZATION OF SOYBEAN PROMOTERS.

Degree: PhD, Horticulture and Crop Science, 2013, The Ohio State University

 Promoters are DNA sequences located upstream of gene coding sequences. Since promoters largely control gene expression at the transcriptional level, promoter studies are crucial to… (more)

Subjects/Keywords: Cellular Biology; Bioinformatics; Molecular Biology

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APA (6th Edition):

Hernandez-Garcia, C. M. (2013). ISOLATION AND CHARACTERIZATION OF SOYBEAN PROMOTERS. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1366303238

Chicago Manual of Style (16th Edition):

Hernandez-Garcia, Carlos M. “ISOLATION AND CHARACTERIZATION OF SOYBEAN PROMOTERS.” 2013. Doctoral Dissertation, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1366303238.

MLA Handbook (7th Edition):

Hernandez-Garcia, Carlos M. “ISOLATION AND CHARACTERIZATION OF SOYBEAN PROMOTERS.” 2013. Web. 18 Sep 2019.

Vancouver:

Hernandez-Garcia CM. ISOLATION AND CHARACTERIZATION OF SOYBEAN PROMOTERS. [Internet] [Doctoral dissertation]. The Ohio State University; 2013. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1366303238.

Council of Science Editors:

Hernandez-Garcia CM. ISOLATION AND CHARACTERIZATION OF SOYBEAN PROMOTERS. [Doctoral Dissertation]. The Ohio State University; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1366303238


The Ohio State University

13. Hanf, Zachery R. A Comprehensive Multi-Omic Approach Reveals a Simple Venom in a Diet Generalist, the Northern Short-Tailed Shrew, Blarina brevicauda.

Degree: MS, Evolution, Ecology and Organismal Biology, 2019, The Ohio State University

 Venom is often comprised of a mixture of proteins derived from duplication events of regulatory genes that have undergone positive selection and neofunctionalization. Proteins operating… (more)

Subjects/Keywords: Bioinformatics; Biology; Evolution and Development

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APA (6th Edition):

Hanf, Z. R. (2019). A Comprehensive Multi-Omic Approach Reveals a Simple Venom in a Diet Generalist, the Northern Short-Tailed Shrew, Blarina brevicauda. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1555176292214023

Chicago Manual of Style (16th Edition):

Hanf, Zachery R. “A Comprehensive Multi-Omic Approach Reveals a Simple Venom in a Diet Generalist, the Northern Short-Tailed Shrew, Blarina brevicauda.” 2019. Masters Thesis, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555176292214023.

MLA Handbook (7th Edition):

Hanf, Zachery R. “A Comprehensive Multi-Omic Approach Reveals a Simple Venom in a Diet Generalist, the Northern Short-Tailed Shrew, Blarina brevicauda.” 2019. Web. 18 Sep 2019.

Vancouver:

Hanf ZR. A Comprehensive Multi-Omic Approach Reveals a Simple Venom in a Diet Generalist, the Northern Short-Tailed Shrew, Blarina brevicauda. [Internet] [Masters thesis]. The Ohio State University; 2019. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1555176292214023.

Council of Science Editors:

Hanf ZR. A Comprehensive Multi-Omic Approach Reveals a Simple Venom in a Diet Generalist, the Northern Short-Tailed Shrew, Blarina brevicauda. [Masters Thesis]. The Ohio State University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1555176292214023


The Ohio State University

14. Baez, William David. RNA Secondary Structures: from Biophysics to Bioinformatics.

Degree: PhD, Physics, 2018, The Ohio State University

 We investigate aspects of RNA secondary structure from the view point of theoretical biophysics and from view point of bioinformatics. From the existence of a… (more)

Subjects/Keywords: Biophysics; Bioinformatics; RNA Secondary Structures; theoretical biophysics; bioinformatics

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APA (6th Edition):

Baez, W. D. (2018). RNA Secondary Structures: from Biophysics to Bioinformatics. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1525714439675315

Chicago Manual of Style (16th Edition):

Baez, William David. “RNA Secondary Structures: from Biophysics to Bioinformatics.” 2018. Doctoral Dissertation, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1525714439675315.

MLA Handbook (7th Edition):

Baez, William David. “RNA Secondary Structures: from Biophysics to Bioinformatics.” 2018. Web. 18 Sep 2019.

Vancouver:

Baez WD. RNA Secondary Structures: from Biophysics to Bioinformatics. [Internet] [Doctoral dissertation]. The Ohio State University; 2018. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1525714439675315.

Council of Science Editors:

Baez WD. RNA Secondary Structures: from Biophysics to Bioinformatics. [Doctoral Dissertation]. The Ohio State University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1525714439675315


The Ohio State University

15. Chen, Chenxi. Analysis of the molecular basis of virulence in pathogenic fungi.

Degree: PhD, Plant Pathology, 2013, The Ohio State University

 Microbes exist widely in the environment and some of them cause diseases in plants or animals. Interaction between pathogens and hosts initiates a dynamic cascade… (more)

Subjects/Keywords: Bioinformatics; Molecular Biology; Plant Pathology; Pathology

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APA (6th Edition):

Chen, C. (2013). Analysis of the molecular basis of virulence in pathogenic fungi. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1374006951

Chicago Manual of Style (16th Edition):

Chen, Chenxi. “Analysis of the molecular basis of virulence in pathogenic fungi.” 2013. Doctoral Dissertation, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1374006951.

MLA Handbook (7th Edition):

Chen, Chenxi. “Analysis of the molecular basis of virulence in pathogenic fungi.” 2013. Web. 18 Sep 2019.

Vancouver:

Chen C. Analysis of the molecular basis of virulence in pathogenic fungi. [Internet] [Doctoral dissertation]. The Ohio State University; 2013. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1374006951.

Council of Science Editors:

Chen C. Analysis of the molecular basis of virulence in pathogenic fungi. [Doctoral Dissertation]. The Ohio State University; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1374006951


The Ohio State University

16. Abu Doleh, Anas. High Performance and Scalable Matching and Assembly of Biological Sequences.

Degree: PhD, Electrical and Computer Engineering, 2016, The Ohio State University

 Next Generation Sequencing (NGS), the massive parallel and low-cost sequencing technology, is able to generate an enormous size of sequencing data. This facilitates the discovery… (more)

Subjects/Keywords: Computer Engineering; Bioinformatics; bioinformatics; sequence similarity; indexing; graphical processing unit; Apache Spark; de Bruijn graph; de novo assembly; metagenomics

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APA (6th Edition):

Abu Doleh, A. (2016). High Performance and Scalable Matching and Assembly of Biological Sequences. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1469092998

Chicago Manual of Style (16th Edition):

Abu Doleh, Anas. “High Performance and Scalable Matching and Assembly of Biological Sequences.” 2016. Doctoral Dissertation, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1469092998.

MLA Handbook (7th Edition):

Abu Doleh, Anas. “High Performance and Scalable Matching and Assembly of Biological Sequences.” 2016. Web. 18 Sep 2019.

Vancouver:

Abu Doleh A. High Performance and Scalable Matching and Assembly of Biological Sequences. [Internet] [Doctoral dissertation]. The Ohio State University; 2016. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1469092998.

Council of Science Editors:

Abu Doleh A. High Performance and Scalable Matching and Assembly of Biological Sequences. [Doctoral Dissertation]. The Ohio State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1469092998


The Ohio State University

17. Wang, Liwen. Characterization and identification of protein posttranslational modifications using protein enrichment and mass spectrometry.

Degree: PhD, Chemistry, 2009, The Ohio State University

 This dissertation describes a proteomic workflow for the analysis of protein post-translational modifications (PTMs). The workflow combines the techniques for protein enrichment, multi-dimensional separations, mass… (more)

Subjects/Keywords: Analytical Chemistry; phosphorylation; mass spectrometry; bioinformatics; enrichments; chromatography

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APA (6th Edition):

Wang, L. (2009). Characterization and identification of protein posttranslational modifications using protein enrichment and mass spectrometry. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1234422949

Chicago Manual of Style (16th Edition):

Wang, Liwen. “Characterization and identification of protein posttranslational modifications using protein enrichment and mass spectrometry.” 2009. Doctoral Dissertation, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1234422949.

MLA Handbook (7th Edition):

Wang, Liwen. “Characterization and identification of protein posttranslational modifications using protein enrichment and mass spectrometry.” 2009. Web. 18 Sep 2019.

Vancouver:

Wang L. Characterization and identification of protein posttranslational modifications using protein enrichment and mass spectrometry. [Internet] [Doctoral dissertation]. The Ohio State University; 2009. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1234422949.

Council of Science Editors:

Wang L. Characterization and identification of protein posttranslational modifications using protein enrichment and mass spectrometry. [Doctoral Dissertation]. The Ohio State University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1234422949


The Ohio State University

18. Xu, Hua. Novel data analysis methods and algorithms for identification of peptides and proteins by use of tandem mass spectrometry.

Degree: PhD, Chemistry, 2007, The Ohio State University

 Tandem mass spectrometry is one of the most important tools for protein analysis. This thesis is focused on the development of new methods and algorithms… (more)

Subjects/Keywords: Chemistry, Analytical; Mass spectrometry; Proteomics; Database search; Data analysis; Bioinformatics

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APA (6th Edition):

Xu, H. (2007). Novel data analysis methods and algorithms for identification of peptides and proteins by use of tandem mass spectrometry. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1187113396

Chicago Manual of Style (16th Edition):

Xu, Hua. “Novel data analysis methods and algorithms for identification of peptides and proteins by use of tandem mass spectrometry.” 2007. Doctoral Dissertation, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1187113396.

MLA Handbook (7th Edition):

Xu, Hua. “Novel data analysis methods and algorithms for identification of peptides and proteins by use of tandem mass spectrometry.” 2007. Web. 18 Sep 2019.

Vancouver:

Xu H. Novel data analysis methods and algorithms for identification of peptides and proteins by use of tandem mass spectrometry. [Internet] [Doctoral dissertation]. The Ohio State University; 2007. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1187113396.

Council of Science Editors:

Xu H. Novel data analysis methods and algorithms for identification of peptides and proteins by use of tandem mass spectrometry. [Doctoral Dissertation]. The Ohio State University; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1187113396


The Ohio State University

19. Ucar, Duygu. Constructing and Analyzing Biological Interaction Networks for Knowledge Discovery.

Degree: PhD, Computer Science and Engineering, 2009, The Ohio State University

 Many biological datasets can be effectively modeled as interaction networks where nodes represent biological entities of interest such as proteins, genes, or complexes and edges… (more)

Subjects/Keywords: Bioinformatics; Computer Science; Biological interaction networks; microarray; gene regulation

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APA (6th Edition):

Ucar, D. (2009). Constructing and Analyzing Biological Interaction Networks for Knowledge Discovery. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1250656196

Chicago Manual of Style (16th Edition):

Ucar, Duygu. “Constructing and Analyzing Biological Interaction Networks for Knowledge Discovery.” 2009. Doctoral Dissertation, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1250656196.

MLA Handbook (7th Edition):

Ucar, Duygu. “Constructing and Analyzing Biological Interaction Networks for Knowledge Discovery.” 2009. Web. 18 Sep 2019.

Vancouver:

Ucar D. Constructing and Analyzing Biological Interaction Networks for Knowledge Discovery. [Internet] [Doctoral dissertation]. The Ohio State University; 2009. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1250656196.

Council of Science Editors:

Ucar D. Constructing and Analyzing Biological Interaction Networks for Knowledge Discovery. [Doctoral Dissertation]. The Ohio State University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1250656196


The Ohio State University

20. Lee, Marianne M. A two-pronged approach to improve distant homology detection.

Degree: PhD, Biophysics, 2009, The Ohio State University

  With the tremendous growth in biological information, bioinformatics has become a powerful approach to aid in assigning the functional role of proteins. By establishing… (more)

Subjects/Keywords: Bioinformatics; LESTAT; SIB; distant homology detection; sequence alignment; correlation analysis

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APA (6th Edition):

Lee, M. M. (2009). A two-pronged approach to improve distant homology detection. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1242235868

Chicago Manual of Style (16th Edition):

Lee, Marianne M. “A two-pronged approach to improve distant homology detection.” 2009. Doctoral Dissertation, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1242235868.

MLA Handbook (7th Edition):

Lee, Marianne M. “A two-pronged approach to improve distant homology detection.” 2009. Web. 18 Sep 2019.

Vancouver:

Lee MM. A two-pronged approach to improve distant homology detection. [Internet] [Doctoral dissertation]. The Ohio State University; 2009. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1242235868.

Council of Science Editors:

Lee MM. A two-pronged approach to improve distant homology detection. [Doctoral Dissertation]. The Ohio State University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1242235868


The Ohio State University

21. Lee, Cindy. Analysis of two factors, BARD1 and MYCBP, that stimulate DNA double strand break repair.

Degree: PhD, Molecular, Cellular and Developmental Biology, 2015, The Ohio State University

 Deleterious mutations in the breast cancer susceptibility genes BRCA1 and BRCA2 are highly penetrant, resulting in a 50-80% lifetime risk of breast or ovarian cancer;… (more)

Subjects/Keywords: Molecular Biology; Bioinformatics; DNA repair; MYCBP; BARD1; breast cancer

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APA (6th Edition):

Lee, C. (2015). Analysis of two factors, BARD1 and MYCBP, that stimulate DNA double strand break repair. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1429262304

Chicago Manual of Style (16th Edition):

Lee, Cindy. “Analysis of two factors, BARD1 and MYCBP, that stimulate DNA double strand break repair.” 2015. Doctoral Dissertation, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429262304.

MLA Handbook (7th Edition):

Lee, Cindy. “Analysis of two factors, BARD1 and MYCBP, that stimulate DNA double strand break repair.” 2015. Web. 18 Sep 2019.

Vancouver:

Lee C. Analysis of two factors, BARD1 and MYCBP, that stimulate DNA double strand break repair. [Internet] [Doctoral dissertation]. The Ohio State University; 2015. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1429262304.

Council of Science Editors:

Lee C. Analysis of two factors, BARD1 and MYCBP, that stimulate DNA double strand break repair. [Doctoral Dissertation]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1429262304

22. Hatem, Ayat. Active Module Discovery: Integrated Approaches of Gene Co-Expression and PPI Networks and MicroRNA Data.

Degree: PhD, Electrical and Computer Engineering, 2014, The Ohio State University

 Integrating protein-protein interaction (PPI) networks with gene expression data to extract active modules is shown to be promising in detecting meaningful biomarkers for cancer and… (more)

Subjects/Keywords: Bioinformatics; Computer Science

…Toland, U. ¸ ataly¨ urek, ”Benchmarking Short Sequence Mapping Tools,” In BMC Bioinformatics… …based Active Subnetwork Extraction,” In Proc. of ACM Conference on Bioinformatics… …of ACM Conference on Bioinformatics, Computational Biology and Biomedical Informatics (… …Sequence Mapping Tools,” In Proc. of IEEE International Conference on Bioinformatics and… …Tools,” In Abstract, Bioinformatics, 2010 Ohio Collaborative Conference, 2010 Fields of Study… 

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APA (6th Edition):

Hatem, A. (2014). Active Module Discovery: Integrated Approaches of Gene Co-Expression and PPI Networks and MicroRNA Data. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1398949621

Chicago Manual of Style (16th Edition):

Hatem, Ayat. “Active Module Discovery: Integrated Approaches of Gene Co-Expression and PPI Networks and MicroRNA Data.” 2014. Doctoral Dissertation, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1398949621.

MLA Handbook (7th Edition):

Hatem, Ayat. “Active Module Discovery: Integrated Approaches of Gene Co-Expression and PPI Networks and MicroRNA Data.” 2014. Web. 18 Sep 2019.

Vancouver:

Hatem A. Active Module Discovery: Integrated Approaches of Gene Co-Expression and PPI Networks and MicroRNA Data. [Internet] [Doctoral dissertation]. The Ohio State University; 2014. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1398949621.

Council of Science Editors:

Hatem A. Active Module Discovery: Integrated Approaches of Gene Co-Expression and PPI Networks and MicroRNA Data. [Doctoral Dissertation]. The Ohio State University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1398949621


The Ohio State University

23. Blischak, Paul David. Developing Computational Tools for Evolutionary Inferences in Polyploids.

Degree: PhD, Evolution, Ecology and Organismal Biology, 2018, The Ohio State University

 Methods for generating genome-scale data sets are facilitating the inference of phylogenetic relationships in non-model taxa across the Tree of Life. However, rapid speciation and… (more)

Subjects/Keywords: Bioinformatics; Biology; Evolution and Development; Genetics; Organismal Biology; Statistics

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APA (6th Edition):

Blischak, P. D. (2018). Developing Computational Tools for Evolutionary Inferences in Polyploids. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1531400134548368

Chicago Manual of Style (16th Edition):

Blischak, Paul David. “Developing Computational Tools for Evolutionary Inferences in Polyploids.” 2018. Doctoral Dissertation, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1531400134548368.

MLA Handbook (7th Edition):

Blischak, Paul David. “Developing Computational Tools for Evolutionary Inferences in Polyploids.” 2018. Web. 18 Sep 2019.

Vancouver:

Blischak PD. Developing Computational Tools for Evolutionary Inferences in Polyploids. [Internet] [Doctoral dissertation]. The Ohio State University; 2018. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1531400134548368.

Council of Science Editors:

Blischak PD. Developing Computational Tools for Evolutionary Inferences in Polyploids. [Doctoral Dissertation]. The Ohio State University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1531400134548368


The Ohio State University

24. Loveless, Ian. Binary Classification With First Phase Feature Selection forGene Expression Survival Data.

Degree: MS, Biostatistics, 2019, The Ohio State University

 We look at a variety of binary class models for feature selection and classification with deterministically censored survival data. We compare the discrimination and ability… (more)

Subjects/Keywords: Bioinformatics; Biostatistics; Genetics; Feature selection; classification; genomics; survival data

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APA (6th Edition):

Loveless, I. (2019). Binary Classification With First Phase Feature Selection forGene Expression Survival Data. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1555444873531262

Chicago Manual of Style (16th Edition):

Loveless, Ian. “Binary Classification With First Phase Feature Selection forGene Expression Survival Data.” 2019. Masters Thesis, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555444873531262.

MLA Handbook (7th Edition):

Loveless, Ian. “Binary Classification With First Phase Feature Selection forGene Expression Survival Data.” 2019. Web. 18 Sep 2019.

Vancouver:

Loveless I. Binary Classification With First Phase Feature Selection forGene Expression Survival Data. [Internet] [Masters thesis]. The Ohio State University; 2019. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1555444873531262.

Council of Science Editors:

Loveless I. Binary Classification With First Phase Feature Selection forGene Expression Survival Data. [Masters Thesis]. The Ohio State University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1555444873531262


The Ohio State University

25. Camerlengo, Terry Luke. Techniques for Storing and Processing Next-Generation DNA Sequencing Data.

Degree: MS, Biophysics, 2014, The Ohio State University

 Genomics is undergoing unprecedented transformation due to rapid improvements in genetic sequencing technology, which has lowered costs for genetic sequencing experiments while increasing the amount… (more)

Subjects/Keywords: Bioinformatics; DNA sequence storage; 4 bit encoding; reference-based compression; Needleman-Wusnch; DNA base pair compression; sequence compression; MongoDB; NGS Data management; bioinformatics; NoSQL; 3 bases per byte

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APA (6th Edition):

Camerlengo, T. L. (2014). Techniques for Storing and Processing Next-Generation DNA Sequencing Data. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1388502159

Chicago Manual of Style (16th Edition):

Camerlengo, Terry Luke. “Techniques for Storing and Processing Next-Generation DNA Sequencing Data.” 2014. Masters Thesis, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1388502159.

MLA Handbook (7th Edition):

Camerlengo, Terry Luke. “Techniques for Storing and Processing Next-Generation DNA Sequencing Data.” 2014. Web. 18 Sep 2019.

Vancouver:

Camerlengo TL. Techniques for Storing and Processing Next-Generation DNA Sequencing Data. [Internet] [Masters thesis]. The Ohio State University; 2014. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1388502159.

Council of Science Editors:

Camerlengo TL. Techniques for Storing and Processing Next-Generation DNA Sequencing Data. [Masters Thesis]. The Ohio State University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1388502159


The Ohio State University

26. 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 September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1211570026.

MLA Handbook (7th Edition):

Ozer, Hatice Gulcin. “Residue Associations In Protein Family Alignments.” 2008. Web. 18 Sep 2019.

Vancouver:

Ozer HG. Residue Associations In Protein Family Alignments. [Internet] [Doctoral dissertation]. The Ohio State University; 2008. [cited 2019 Sep 18]. 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


The Ohio State University

27. Frankhouser, David E. Methylome Analysis: From Computation Workflow Development to Implementation in a Breast Cancer Prevention Trial.

Degree: PhD, Biomedical Sciences, 2017, The Ohio State University

 Cancer research is rapidly advancing toward more personalized treatments and diagnostics. The major driving force of this advancement are the technological developments of sequencing which… (more)

Subjects/Keywords: Bioinformatics; Biomedical Research; DNA methylation; breast cancer; bioinformatics; next-generation sequencing; omega-3 fatty acids; bisulfite; methylcap-seq; clinical research; biomarker; computational analysis; cancer prevention; treatment; therapy; study design

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APA (6th Edition):

Frankhouser, D. E. (2017). Methylome Analysis: From Computation Workflow Development to Implementation in a Breast Cancer Prevention Trial. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1512052081030923

Chicago Manual of Style (16th Edition):

Frankhouser, David E. “Methylome Analysis: From Computation Workflow Development to Implementation in a Breast Cancer Prevention Trial.” 2017. Doctoral Dissertation, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1512052081030923.

MLA Handbook (7th Edition):

Frankhouser, David E. “Methylome Analysis: From Computation Workflow Development to Implementation in a Breast Cancer Prevention Trial.” 2017. Web. 18 Sep 2019.

Vancouver:

Frankhouser DE. Methylome Analysis: From Computation Workflow Development to Implementation in a Breast Cancer Prevention Trial. [Internet] [Doctoral dissertation]. The Ohio State University; 2017. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1512052081030923.

Council of Science Editors:

Frankhouser DE. Methylome Analysis: From Computation Workflow Development to Implementation in a Breast Cancer Prevention Trial. [Doctoral Dissertation]. The Ohio State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1512052081030923


The Ohio State University

28. Schultz, Kevin M. Distributed Agreement: Swarm Guidance to Cooperative Lighting.

Degree: PhD, Electrical and Computer Engineering, 2009, The Ohio State University

 When a honeybee swarm takes off to fly to its new home site, less than5% of the thousands of bees in the swarm have visited… (more)

Subjects/Keywords: Bioinformatics; Electrical Engineering; honeybee; honey bee; swarm; distributed agreement; cooperative lighting; smart lighting

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APA (6th Edition):

Schultz, K. M. (2009). Distributed Agreement: Swarm Guidance to Cooperative Lighting. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1260968137

Chicago Manual of Style (16th Edition):

Schultz, Kevin M. “Distributed Agreement: Swarm Guidance to Cooperative Lighting.” 2009. Doctoral Dissertation, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1260968137.

MLA Handbook (7th Edition):

Schultz, Kevin M. “Distributed Agreement: Swarm Guidance to Cooperative Lighting.” 2009. Web. 18 Sep 2019.

Vancouver:

Schultz KM. Distributed Agreement: Swarm Guidance to Cooperative Lighting. [Internet] [Doctoral dissertation]. The Ohio State University; 2009. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1260968137.

Council of Science Editors:

Schultz KM. Distributed Agreement: Swarm Guidance to Cooperative Lighting. [Doctoral Dissertation]. The Ohio State University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1260968137


The Ohio State University

29. Prescott, Jeffrey William. Computer-assisted discovery and characterization of imaging biomarkers for disease diagnosis and treatment planning.

Degree: PhD, Biomedical Engineering, 2010, The Ohio State University

 The rapid growth of diagnostic medical imaging studies has led to enormous strides in the effective diagnosis and treatment of a myriad of diseases, from… (more)

Subjects/Keywords: Bioinformatics; Biomedical Research; Electrical Engineering; Imaging biomarkers; Image processing; Image analysis; Cervical cancer; Osteoarthritis

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APA (6th Edition):

Prescott, J. W. (2010). Computer-assisted discovery and characterization of imaging biomarkers for disease diagnosis and treatment planning. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1280194844

Chicago Manual of Style (16th Edition):

Prescott, Jeffrey William. “Computer-assisted discovery and characterization of imaging biomarkers for disease diagnosis and treatment planning.” 2010. Doctoral Dissertation, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1280194844.

MLA Handbook (7th Edition):

Prescott, Jeffrey William. “Computer-assisted discovery and characterization of imaging biomarkers for disease diagnosis and treatment planning.” 2010. Web. 18 Sep 2019.

Vancouver:

Prescott JW. Computer-assisted discovery and characterization of imaging biomarkers for disease diagnosis and treatment planning. [Internet] [Doctoral dissertation]. The Ohio State University; 2010. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1280194844.

Council of Science Editors:

Prescott JW. Computer-assisted discovery and characterization of imaging biomarkers for disease diagnosis and treatment planning. [Doctoral Dissertation]. The Ohio State University; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1280194844


The Ohio State University

30. Cooper, Lee Alex Donald. High Performance Image Analysis for Large Histological Datasets.

Degree: PhD, Electrical and Computer Engineering, 2009, The Ohio State University

  The convergence of emerging challenges in biological research and developments in imaging and computing technologies suggests that image analysis will play an important role… (more)

Subjects/Keywords: Electrical Engineering; computer vision; image processing; bioinformatics; bioimaging; GPU; microscopy; high performance computing

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APA (6th Edition):

Cooper, L. A. D. (2009). High Performance Image Analysis for Large Histological Datasets. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1250004647

Chicago Manual of Style (16th Edition):

Cooper, Lee Alex Donald. “High Performance Image Analysis for Large Histological Datasets.” 2009. Doctoral Dissertation, The Ohio State University. Accessed September 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1250004647.

MLA Handbook (7th Edition):

Cooper, Lee Alex Donald. “High Performance Image Analysis for Large Histological Datasets.” 2009. Web. 18 Sep 2019.

Vancouver:

Cooper LAD. High Performance Image Analysis for Large Histological Datasets. [Internet] [Doctoral dissertation]. The Ohio State University; 2009. [cited 2019 Sep 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1250004647.

Council of Science Editors:

Cooper LAD. High Performance Image Analysis for Large Histological Datasets. [Doctoral Dissertation]. The Ohio State University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1250004647

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