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BCHM 8250: Seminar I
1.00 Credits
Clemson University
Special topics and original research in genetics reviewed by students, faculty and invited lecturers. May be repeated for credit. May also be offered as GEN 8250. Preq: Enrollment in Biochemistry and Molecular Biology program.
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BCHM 8250 - Seminar I
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BCHM 8510: Seminar II
1.00 Credits
Clemson University
Investigation of current topics in biochemistry. May be repeated for a maximum of ten credits. To be taken Pass/No Pass only. May also be offered as GEN 8510. Preq: Enrollment in Biochemistry and Molecular Biology program or the Genetics program.
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BCHM 8510 - Seminar II
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BCHM 8900: Special Top in Gen & Biochem
1.00 Credits
Clemson University
Group discussions of recent developments in genetics and biochemical research. May be repeated for a maximum of 12 credits, but only if different topics are covered. May also be offered as GEN 8900. Preq: Consent of instructor.
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BCHM 8900 - Special Top in Gen & Biochem
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BCHM 8910: Master's Thesis Research
1.00 Credits
Clemson University
Master's Thesis Research
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BCHM 8910 - Master's Thesis Research
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BCHM 9910: Doctoral Dissertation Research
1.00 Credits
Clemson University
Doctoral Dissertation Research
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BCHM 9910 - Doctoral Dissertation Research
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BDSI 8000: Biomed Data Sci & Info Seminar
1.00 Credits
Clemson University
Exposes students to a broad range of concepts, theories, methods, and practices in biomedical data science and informatics, and the specific research topics pursued by the faculty in the program. Students learn to comprehend and present scientific literature in the field. To be taken Pass/No Pass only. May be repeated for a maximum of four credits. Preq: Enrollment in the Biomedical Data Science and Informatics PhD program or consent of instructor.
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BDSI 8000 - Biomed Data Sci & Info Seminar
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BDSI 8010: Intro to Biomed Informatics
3.00 Credits
Clemson University
This course provides an overview of the biomedical informatics field. Students learn fundamental theories and concepts of bioinformatics, clinical research informatics, health informatics, consumer health informatics, and public health informatics, and how informatics tools, techniques, and approaches are used to support research and health care.
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BDSI 8010 - Intro to Biomed Informatics
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BDSI 8020: Biomed Data Standards/Terminol
3.00 Credits
Clemson University
This course introduces data science and informatics students, clinicians, and public health practitioners to fundamental principles of data standards and terminologies and their importance for exchange and meaningful use of health data and information. Preq: BDSI 8010.
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BDSI 8020 - Biomed Data Standards/Terminol
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BDSI 8110: Precision Medicine Informatics
3.00 Credits
Clemson University
Precision Medicine Informatics is the discovery of individualized treatments through the integration of biologic and behavioral data with the goal of providing better care to the individual. This course provides an overview of precision medicine informatics with a focus on cancer. It covers current initiatives and efforts to use health informatics to individualize care. The integration of heterogeneous data sets from different measurements such as the exposome, metabolome, genome, proteome, and other laboratory measurements is central to the goal of treating each patient as an individual in regard to precision treatment. As a use case, students do a detailed examination of precision medicine clinical trials in cancer. They also examine publicly available data to understand how high throughput measurement techniques are used and the methods that are applied to them to more precisely characterize cohorts of patients. Preq: BDSI 8010.
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BDSI 8110 - Precision Medicine Informatics
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BDSI 8120: Clin/Translational Informatics
3.00 Credits
Clemson University
This course provides an overview of clinical and translational research informatics. Students learn about research data management, relational database design, modern research data capture tools, best practices, clinical data warehousing, security risks and mitigations, privacy issues in electronic data, data standards, data mining and other related topics. Students get hands-on experience using modern translational research informatics tools such as REDCap, i2b2 and others.
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BDSI 8120 - Clin/Translational Informatics
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