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The courses listed below reflect some but not all courses offered at Clemson University related to genomics and bioinformatics. If you are a student and would like to learn more about the courses described below, please contact the course instructor listed under their respective course. If you are an instructor and would like to have your course listed below, please contact us<\/a>.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Clients Logos” _builder_version=”4.16″ background_color=”#f8fbfe” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_accordion open_toggle_text_color=”#000000″ _builder_version=”4.27.6″ toggle_text_color=”#000000″ toggle_level=”h2″ min_height=”1513px” global_colors_info=”{}”][et_pb_accordion_item title=”GEN-8060 Molecular Diagnostics and Pathogen Genomics” open=”on” _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}”]Description: Provides mentored research training and professional development for graduate Offered Spring and Summer semesters<\/p>\n Required prerequisite course(s): Molecular Biology, Genetics, or equivalent<\/p>\n Suggested prerequisite knowledge: Knowledge of physical, chemical, and biological properties of molecules<\/p>\n Student population served: Graduate Students, required for majors, available to non-majors<\/p>\n Course instructor: Congyue Peng, congyup@clemson.edu<\/p>\n College of Engineering, Computing, and Applied Sciences, Department of Bioengineering[\/et_pb_accordion_item][et_pb_accordion_item title=”BIOE 4400\/6400- Biopharmaceutical Engineering” _builder_version=”4.18.0″ global_colors_info=”{}” open=”off”]<\/p>\n Description: This course examines the design principles necessary to use bacteria, fungi, and mammalian cells in bioengineering applications, including molecular techniques, fermentation, process scale-up, and FDA regulations. The production of biopharmaceuticals derived from recombinant systems, including uses in medical systems, is emphasized.<\/p>\n Offered Fall semesters<\/p>\n Required prerequisite course(s): BCHM 3050 (Biochemistry). For non-majors, Math thru differential equations highly recommended.<\/p>\n Suggested prerequisite knowledge: Biochemistry – metabolism, structure\/function of proteins, recombinant organisms<\/p>\n Student population served: Undergraduate and graduate students, available to non-majors<\/p>\n Course instructor: Sarah Harcum, harcum@clemson.edu<\/a><\/p>\n College of Engineering, Computing and Applied Sciences, Department of Bioengineering<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”PES\t8060 – Variant Calling” _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}” open=”off”]<\/p>\n Description: A command line-based course designed to teach you the bioinformatics Offered Summer semesters<\/p>\n Required prerequisite course(s): GEN3000 required; GEN4400 preferred<\/p>\n Suggested prerequisite knowledge: Basic understanding of genetics.<\/p>\n Student population served: Graduate students<\/p>\n Course instructor: Sandra Branham, sebranh@clemson.edu<\/p>\n College of Agriculture, Forestry, and Life Sciences, Department of Plant and Environmental Sciences<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”BIOL 8710 – Special Topics (Modern Macroevolutionary Methods)” _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}” open=”off”]<\/p>\n Description: This course covers best practices when implementing modern Offered Fall Semesters<\/p>\n Required prerequsite courses: None<\/p>\n Suggested prerequsite knowledge: Knowledge of the R statistical framework, a basic background in evolutionary biology and statistics<\/p>\n Student population served: Graduate Students<\/p>\n Course Instructor: Samantha Price, sprice6@clemson.edu<\/p>\n College of Science, Department of Biological Sciences<\/p>\n NOTE: It is planned for this course to add this course to the course catalog as a stand-alone course soon.<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”MATH 9810 – Statistical Genetics” _builder_version=”4.20.2″ global_colors_info=”{}” open=”off”]<\/p>\n Description: This course is the first of a two part series designed to familiarize students with both the traditional and advanced treatment of problems surrounding the analysis of genetics data. In particular, topics which will be covered are as follow:<\/p>\n Offered: Fall semesters<\/p>\n Required prerequisite course(s): None<\/p>\n Suggested prerequisite knowledge: None<\/p>\n Student population served: Graduate students<\/p>\n Course instructor: Rajan Sekhon, sekhon@clemson.edu<\/p>\n College of Science, Department of Genetics and Biochemistry<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”GEN4450 – Medical Bioinformatics” _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}” open=”off”]<\/p>\n Description: This computational biology course will provide students hands-on experience using data-intensive computational and statistical methods to discover and interpret molecular systems underlying human phenotypes. Students will build on prior Linux command line experience to learn how to employ modern data transfer techniques, workflow managers, container technology, and software repositories to process large biological datasets. Data-intensive bioinformatics workflows will be applied by the student to process large human wild-type and cancer datasets. Representative workflows include high-throughput RNA profiling, differential gene expression analysis, co-expression network analysis, biomarker discovery using artificial intelligence and network biology approaches, functional enrichment analysis, and integrating individual patient samples for precision medicine applications.<\/p>\n Offered Spring semesters<\/p>\n Required prerequisite course(s): N\/A<\/p>\n Suggested prerequisite knowledge: N\/A<\/p>\n Student population served: Undergraduate Students, Available to non-majors<\/p>\n Course instructor: Alex Feltus, ffeltus@clemson.edu<\/p>\n College of Science, Department of Genetics and Biochemistry<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”GEN 8900 – Digital Biology” _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}” open=”off”]<\/p>\n Description: Biology covers many areas including ecology, medicine, genetics, zoology, agriculture, biophysics, bioengineering, biochemistry, and many more. A recent theme in biology is the generation of a lot of biological data that needs to be analyzed by computers. For instance, DNA can now be cheaply sequenced (think 23andMe) providing insights into human ancestry and medical risk factors. Digital Biology is a dynamic scientific discipline that utilizes computational and statistical methods for solving biological problems. A major theme in digital biology is to integrate and understand biological data generated by genome sequencing projects and other high-throughput molecular biology efforts. Digital biology tools are developed to reveal fundamental mechanisms underlying the structure and function of macromolecules, biochemical pathways, disease processes, and genome evolution. In this course, you will learn some of the basic computational skills you need to study biological systems. These skills include Jupyter Notebooks, the Command Line, and the Python programming language. Then you will apply these skills to real biological datasets including all human genes and the coronavirus genome. University research labs and the biotechnology industry desperately need people with these skills, and they are challenging but FUN to learn.<\/p>\n Offered Fall and Spring semesters<\/p>\n Required prerequisite course(s): N\/A<\/p>\n Suggested prerequisite knowledge: N\/A<\/p>\n Student population served: Graduate Students<\/p>\n Course instructor: Alex Feltus, ffeltus@clemson.edu<\/p>\n College of Science, Department of Genetics and Biochemistry<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”GEN8450 – Medical Bioinformatics” _builder_version=”4.20.2″ global_colors_info=”{}” open=”off”]<\/p>\n Description: Bioinformatics is a dynamic scientific discipline that utilizes computational and statistical methods for solving biological problems. A major theme in bioinformatics is to integrate and understand biological data generated by genome sequencing projects and other high-throughput molecular biology efforts. Bioinformatics tools are developed to reveal fundamental mechanisms underlying the structure and function of macromolecules, biochemical pathways, disease processes, and genome evolution. Medical Bioinformatics is performing bioinformatics to understand the human organism. It can be basic research, clinical research, or translational research. In this course we will focus on the basic and applied genomics workflows to understand normal and aberrant human phenotypes. Offered Spring semesters<\/p>\n Required prerequisite course(s): N\/A<\/p>\n Suggested prerequisite knowledge: N\/A<\/p>\n Student population served: Graduate students, Available to non-majors<\/p>\n Course instructor: Alex Feltus, ffeltus@clemson.edu<\/a><\/p>\n College of Science, Department of Genetics and Biochemistry<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”GEN 4400\/GEN6400\/BCHM4400\/BIO6400 – Bioinformatics” _builder_version=”4.20.2″ global_colors_info=”{}” open=”off”]<\/p>\n Description: Bioinformatics is a dynamic scientific discipline that utilizes computational and statistical methods for solving biological problems. A major theme in bioinformatics is to integrate and understand biological data generated by genome sequencing projects and other high-throughput molecular biology efforts. Bioinformatics tools are developed to reveal fundamental mechanisms underlying the structure and function of macromolecules, biochemical pathways, disease processes, and genome evolution.<\/p>\n Offered Fall semesters<\/p>\n Required prerequisite course(s): BCHM 3010 or BCHM 3050 or GEN 3000 or GEN 3020, with C or better. (or consent from instructor)<\/p>\n Suggested prerequisite knowledge: Basic molecular genetics (optional)<\/p>\n Student population served: Undergraduate Students, Graduate Students, required for majors<\/p>\n Course instructor: Alex Feltus, ffeltus@clemson.edu<\/a><\/p>\n College of Science, Department of Genetics and Biochemistry<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”BIOL 4030\/6030- Introduction to Applied Genomics” _builder_version=”4.18.0″ global_colors_info=”{}” open=”off”]<\/p>\n Description: An Introduction to Applied Genomics introduces students to broad range of genomic and bioinformatic skills. Core components of the course include an introducing to the Linux command line environment, principles of next generation sequencing (NGS) technology, and numerous techniques associated with the downstream processing and analysis of genomic data. These techniques include genome assembly, gene prediction, annotation, databases, gene\/genome clustering, recombination detection, phylogenomics, transcriptomics, and metagenomics. The course has a strong emphasis on the practical application of bioinformatics skills (in particular the use of LINUX\/bash) to solve biological problems, with these activities incorporated into the majority of course work.<\/p>\n Offered Fall semesters<\/p>\n Required prerequisite course(s): GEN3000 or GEN3020 or MICR4150<\/p>\n Suggested prerequisite knowledge: A basic understanding of the DNA molecule and genetics. Basic computational skills (i.e. Excel).<\/p>\n Student population served: Undergraduate and Graduate students, available to non-majors<\/p>\n Course instructor: Vince Richards, vpricha@clemson.edu<\/a><\/p>\n College of Science, Department of Biological Sciences<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”BCHM (GEN) 8900 – Introduction to Quantitative Genetics” _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}” open=”off”]<\/p>\n Description: This is an introductory course that covers theory and analysis of complex traits from the genetic standpoint and does not assume any prior knowledge of the subject. The topics treated will tentatively be the following: <\/span><\/p>\n Offered: Spring semesters<\/p>\n Required prerequisite course(s): None at this time<\/p>\n Suggested prerequisite knowledge: Basic genetics (e.g., Mendelian inheritance) and basic statistics (e.g. ANOVA and regression)<\/p>\n Student population served: Graduate Students, available to non-majors<\/p>\n Course instructor: Fabio Morgante, fabiom@clemson.edu<\/p>\n College of Science, Department of Genetics and Biochemistry<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”CPSC 8650 – Bioinformatics Algorithms” _builder_version=”4.18.0″ global_colors_info=”{}” open=”off”]<\/p>\n Description: Covers algorithms such as dynamic programming for biological problems, including sequence alignment and phylogeny tree constructions; statistical and mathematical modeling of high throughput data, such as differentially expressed genes from microarray data and HMM for gene prediction; graph and network theory for biological networks.<\/span><\/p>\n Offered: Fall Semesters<\/p>\n Required prerequisite course(s): N\/A<\/p>\n Suggested prerequisite knowledge: Programming skill. Algorithm course.<\/p>\n Student population served: Graduate students, available to non-majors<\/p>\n Course instructor: Feng Luo, luofeng@clemson.edu<\/a><\/p>\n College of Engineering, Computing and Applied Sciences, School of Computing<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”CHE 8450 – Systems Biology and Pharmacology” _builder_version=”4.18.0″ global_colors_info=”{}” open=”off”]<\/p>\n Description: Students learn contemporary theory and practical computation (python) related to dealing with big bioinformatics data such as mRNAseq, and dealing with “small” systems biology data such as single cell time courses. They also learn how to interpret that data to learn biology through application and case study.<\/p>\n Offered Fall semesters<\/p>\n Required prerequisite course(s): Instructor approval needed for background assessment.<\/p>\n Suggested prerequisite knowledge: Biochemistry, Calculus, Statistics<\/p>\n Student population served: Graduate Students; available to non-majors<\/p>\n Course instructor: Marc Birtwistle, mbirtwi@clemson.edu<\/a><\/p>\n College of Engineering, Computing and Applied Sciences, Department of Chemical and Biomolecular Engineering<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”GEN 4020\/6020 – Molecular Genetics & Gene Regulation” _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}” open=”off”]<\/p>\n Description: The goal of this course is help you gain a fundamental understanding of the Offered Spring semesters<\/p>\n Required prerequisite course(s): Undergraduates: C or better in GEN 3020, GEN4010, and BCHM3020. Graduate students: Permission of Intructor<\/p>\n Suggested prerequisite knowledge: Basic Knowledge of Molecular Biology<\/p>\n Student population served: Undergraduate and Graduate Students, Required for majors<\/p>\n Course instructor: Julia Frugoli, jfrugol@clemson.edu<\/p>\n College of Science, Department of Genetics and Biochemistry<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”ENT 4200\/6200 and 4201\/6201 – Systematics and Biodiversity” _builder_version=”4.18.0″ global_colors_info=”{}” open=”off”]<\/p>\n Description:\u00a0In this course we discuss (and practice) reconconstructing evolutionary relationships, interpreting phylogenies, uses of phylogenies in evolutionary and conservation biology, and what we now know about the tree of life.<\/p>\n Offered: Spring semesters, even number years<\/p>\n Required prerequisite course(s): BIOL 3350<\/p>\n Suggested prerequisite knowledge: Basic understanding of genetics and evolution<\/p>\n Student population served: Undergraduate and Graduate students, available to non-majors<\/p>\n Course instructor: Michael Caterino,\u00a0mcateri@clemson.edu<\/a><\/p>\n College of Agriculture, Forestry, and Life Sciences, Department of Plant and Environmental Sciences<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”MICR 8130- Practical Bioinformatics for Microbiologists” _builder_version=”4.18.0″ global_colors_info=”{}” open=”off”]<\/p>\n Description: The goals of the course are to:<\/p>\n Offered Spring semesters<\/p>\n Required prerequisite course(s): Microbiology coursework as an undergraduate or graduate student<\/p>\n Suggested prerequisite knowledge: Knowledge of microbiology, some genomics<\/p>\n Student population served: Graduate students, available to non-majors<\/p>\n Course instructor: Barbara Campbell, bcampb7@clemson.edu<\/a><\/p>\n College of Science, Department of Biological Sciences<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”BIOE 4470\/6470 – Synthetic Biology Fundamentals” _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}” open=”off”]<\/p>\n Description: Synthetic biology applies engineering principles to design and implement new Offered Spring semesters<\/p>\n Required prerequisite course(s): MATH 2080<\/p>\n Suggested prerequisite knowledge: Basic understanding of biology; ordinary differential equation models (e.g., MATH 2080); scripting in Matlab or other similar packages\/languages.<\/p>\n Student population served: Undergraduate and Graduate Students; available to non-majors<\/p>\n Course instructor: David Karig<\/span>, dkarig@clemson.edu<\/p>\n College of Engineering, Computing, and Applied Sciences, Department of Bioengineering<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”PES 4050\/6050 – Plant Breeding and Genetics” _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}” open=”off”]<\/p>\n Description: Introduction to general principles, practices, and techniques used to Offered Spring semesters<\/p>\n Required prerequisite course(s): GEN 3000<\/p>\n Suggested prerequisite knowledge: Basic statistics, working knowledge of plant biology<\/p>\n Student population served: Undergraduate and graduate students; required for majors, available to non-majors<\/p>\n Course instructor: Christopher Saski, saski@clemson.edu<\/p>\n College of Agriculture, Forestry, and Life Sciences, Department of Plant and Environmental Sciences<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”BIOL 4850 – Molecular Phylogenetics and the Comparative Method” _builder_version=”4.18.0″ global_colors_info=”{}” open=”off”]<\/p>\n Description: The use of molecular markers for unraveling evolutionary relationships is currently widespread and the importance of molecular phylogenies and phylogenetically corrected comparative methods in many fields of evolutionary biology is now recognized as Offered Fall semesters<\/p>\n Required prerequisite course(s): BIOL 1100, 1110 and 3350<\/p>\n Suggested prerequisite knowledge: BIOL 1100, 1110 and 3350<\/p>\n Student population served: Undergraduate and Graduate Students<\/p>\n Course instructor: J. Antonio Baeza, jbaezam@clemson.edu<\/a><\/p>\n College of Science, Department of Biological Sciences<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”MICR (BIOL) 4940\/4941- Microbial Ecology and Bioinformatics” _builder_version=”4.18.0″ global_colors_info=”{}” open=”off”]<\/p>\n Description: Students will develop individual proposals including benchmarks for progress, and receive feedback at weekly group and individual meetings, on technical, composition, Offered Fall and Spring semesters<\/p>\n Required prerequisite course(s): General Biology and Chemistry laboratory-based courses<\/p>\n Suggested prerequisite knowledge: General Microbiology coursework<\/p>\n Student population served: Undergraduate Students; Available to non-majors; Creative Inquiry for undergraduate experiential learning<\/p>\n Course instructor: Barbara Campbell, bcampb7@clemson.edu<\/a><\/p>\n College of Science, Department of Biological Sciences<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”BCHM (GEN) 8900 – Regulatory Genomics” _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}” open=”off”]<\/p>\n Description: In this course, we will talk about concepts of gene regulation and using Offered: Spring semesters<\/p>\n Required prerequisite course(s): None<\/p>\n Suggested prerequisite knowledge: Knowledge of statistic and basic programming background is recommended but not required.<\/p>\n Student population served: Graduate Students, required for majors, available to non-majors<\/p>\n Course instructor: Zhana Duren, zduren@clemson.edu<\/p>\n College of Science, Department of Genetics and Biochemistry<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”BCHM 4360 – Molecular Biology: Genes to Proteins” _builder_version=”4.18.0″ global_colors_info=”{}” open=”off”]<\/p>\n Description: This course is a rigorous in-depth study of DNA replication, transcription, and translation.\u00a0 The course involves primary literature to reinforce the material learned from lecture.<\/p>\n Offered Spring semesters<\/p>\n Required prerequisite course(s): BCHM 3050 or BCHM 3010<\/p>\n Suggested prerequisite knowledge: The student should have a command of basic biochemistry as we dive into detail of DNA replication, transcription and translation.<\/p>\n Student population served: Undergraduate and graduate students, required course for majors, available to non-majors, graduate students regardless of field<\/p>\n Course instructor: Michael Sehorn, msehorn@clemson.edu<\/a><\/p>\n College of Science, Department of Genetics and Biochemistry<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”BIOL 4930- Senior Seminar- Genomics” _builder_version=”4.18.0″ global_colors_info=”{}” open=”off”]<\/p>\n Description: Nearly all fields of biology have been impacted by the genomic revolution.\u00a0 As costs of sequencing DNA have decreased, being able to understand the genetic blueprint used to build an organism has influenced medicine, changed how we understand evolution and diversity, and even entered our daily lives through ancestry and genetic testing.\u00a0 During this course, we will examine various applications of genomics through discussion of scientific and non-scientific literature.<\/p>\n Offered Fall and\/or Spring semesters<\/p>\n Requires prerequisite course(s): Senior level standing<\/p>\n Suggested prerequisite knowledge: Molecular biology and critical thinking skills for reading primary literature. No expectations of knowledge of genomics techniques.<\/p>\n Student population served: Undergraduate students, required course for majors<\/p>\n Course instructor: Kara Powder, kpowder@clemson.edu<\/a><\/p>\n College of Science, Department of Biological Sciences<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”PHYS 8190- Computational Biophysics” _builder_version=”4.20.2″ global_colors_info=”{}” open=”off”]<\/p>\n Description: The course introduces basic concepts about molecular biophysics and the objects being considered: proteins, DNA and RNAs. The role of amino acid and nucleic acid sequences, three dimensional structure and macromolecular interactions are outlined and appropriate computational tools are demonstrated. The course ends with linkage between human diseases, their genetic origin and connection with DNA variants.<\/p>\n Offered Spring semesters<\/p>\n Required prerequisite course(s): N\/A<\/p>\n Suggested prerequisite knowledge: Basic protein science, molecular biophysics and genetics.<\/p>\n Student population served: Graduate students, elective graduate course<\/p>\n Course instructor: Emil Alexov, ealexov@clemson.edu<\/a><\/p>\n College of Science, Department of Physics and Astronomy<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”PHYS 8750- Methods and Resources for Modeling Effects of Human DNA Variations” _builder_version=”4.20.2″ global_colors_info=”{}” open=”off”]<\/p>\n Description: Teaches basic molecular mechanisms associated with disease risk, outlines tools that can be used to investigate the effects of non-synonymous variants and how the disease-causing effects may be targeted via structure-based drug design.<\/p>\n Offered Fall and Spring semesters<\/p>\n Required prerequisite course(s): N\/A<\/p>\n Suggested prerequisite knowledge: Basic protein science, molecular biophysics and genetics.<\/p>\n Student population served: Graduate students, elective graduate course<\/p>\n
\nstudents. The students will have an opportunity to explore translational research using state of the art genetic and molecular tools in a clinical laboratory setting. Through project-based learning and team formation, the students are expected to hone their skills on literature review, experimental design, research documentation, analytical thinking, presentation of results, and research leadership. The students are required to abide by all laboratory safety requirements, the Health Insurance Portability and Accountability Act of 1996 (HIPAA) law and Good Clinical Laboratory Practices (GCLP). Students enrolled in this course will be placed in projects on 1) developing methods for clinical diagnostics, or 2) performing translational research related to disease therapy. Students will have an opportunity to develop IBC\/IRB protocol, design and validate molecular and biochemical assay, explore translational research on disease treatment, design point of care device \/ apparatus, perform genomics epidemiological surveillance of infectious disease, mentor and lead an interdisciplinary undergraduate team, draft SOP and provide digitalized high throughput solutions.<\/p>\n
skills necessary for research projects in modern genetics, genomics, and plant breeding. We
will work through modules to call variants from sequencing data (genotyping-by-sequencing
and whole-genome resequencing), assess genetic diversity and relatedness, and link
genotype to phenotype through genetic mapping.<\/p>\n
macroevolutionary analyses using phylogenetic comparative analyses. It will consist of a
combination of mini lectures, reading, discussion and practical implementations in the statistical software \u2018R\u2019. The first section will identify the common ground between methods for
investigating continuous and discrete trait evolution as well as speciation and extinction.
Focusing on understanding the evolutionary models that are the foundations of nearly all
phylogenetic comparative methods. The second section will cover recent methodological issues identified with phylogenetic comparative methods within the literature and their potential solutions, emphasizing the usefulness of simulation-based approaches.<\/p>\n\n
niques, etc.<\/li>\n
Before you apply these workflows, you will be taught how to a Linux-based research computing system and understand the formats and locations of open-source biomedical datasets. We will learn some basic data visualization and publishing techniques. The computational skills you will learn are dovetail with molecular biology skills. The skills you will learn are highly sought after in the marketplace and will position you to be a modern biologist.<\/p>\n\n
molecular basis of genetics: DNA and RNA structure, replication, transcription,
translation, and the network of regulatory interactions that contribute to the
development of an organism, as well to understand the tools and techniques molecular
geneticists use every day. Successful completion of the course will give you familiarity
with the model systems and techniques that geneticists use to answer molecular
questions and the broader implications of molecular genetics for disease research, aging
and evolution. As a byproduct of the delivery format, you will also learn to manage your
own time & learning.<\/p>\n\n
from microbes.<\/li>\n
currently accepted technologies and available bioinformatics tools.<\/li>\n
following and present their results in both written and oral form:\n\n
genomes in terms of both phylogenetic diversity and functional potential.<\/li>\n
and its gene expression (metatranscriptome\/transcriptome) under at least
2 conditions (control and other, or two different environmental samples).<\/li>\n
biological systems and living organisms. The course will cover approaches and tools for biological design, modeling, implementation, and debugging. Topics include gene regulatory networks, DNA assembly, modeling, biosensor development, and applications in the clinic, industry, and the environment. The class will primarily emphasize genetic modification of bacteria, although the field generally extends to applications in plants, fungi, and even humans (e.g., engineered T-cells).<\/p>\n
breed plants, select traits, and develop crop cultivars. Concepts discussed will range from quantitative and population genetics, historical through conventional plant breeding (through self- and cross-pollinations) and hybridization, then end with exploration of contemporary approaches to improve plant traits including molecular breeding and genetic engineering. The course will also explore the interrelationships between mode of reproduction in plants and breeding methods.<\/p>\n
invaluable. Molecular phylogenies and comparative methods have advanced, among
others, the study of adaptation, biogeography, coevolution and cospeciation, and the
tempo and mode of diversification. Molecular markers and phylogenetics have also
become increasingly important in applied sciences, including human welfare, forensics,
conservation biology, resource management, and invasion ecology.<\/p>\n
and social development.<\/p>\n
computational and statistical methods, computer programs, to solve genomics problems. Specifically, we will talk about the role of transcription factors and chromatin in gene regulation, functional genomics data types, analysis pipelines, computational methods and strategies, results interpretation, and plotting figures. The goal is to understand functional genomics and some concepts of gene regulatory networks. We will learn skills to use software to analyze public data as well as your data, such as identifying cell populations, identifying cis-regulatory elements and the master transcription factors, constructing gene regulatory networks, performing a comparison between two conditions based on genomics data,and studying dynamics of gene regulation.<\/p>\n