Course
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Title
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Offered:
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Description:
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GBS 727
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Advanced Human Genomics
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Spring Semester, every other year
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This course will cover the conceptual basis, major discoveries, and unsolved problems in human genomics, with an emphasis on disease applications. The goal is to make students conversant with the structures, functions, and natural histories of human genomes, the computational and experimental methods used to establish that knowledge, the applications of genomics to medical research, and the broader impacts of genomic research on the community. Each topic will be covered by an approximately 90-minute lecture from a subject-specific PI coupled to reading of pieces of primary literature. Students will also participate in 3 student-led journal clubs in which one or more papers are discussed in detail with the help of the teaching faculty. We will also perform 3 interactive sessions to teach basic computational skills in Unix, Perl and R. Grading will be determined by: discussion interaction, computational problem sets due in weeks 4, 6, and 8, and a final project in which students perform a small but cohesive set of bioinformatic analyses to address a question of their choosing, subject to approval/discussion with the teaching faculty. Format: Each of the 7 weeks will include two, 90 minute lectures performed at UAB. In weeks 2, 4, and 6, we will convene at HudsonAlpha for four-hour sessions. Each four-hour session will include ~1 hour of paper discussion, ~1 hour of teaching on a relevant computational topic, and ~2 hours of hands-on interactive data manipulation with commonly used data types and computational tools. Course meets both on UAB Campus and at Hudson-Alpha in Huntsville.
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GBSC 703-01E
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Comp Biology and bioinformatics
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February
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The course is a hands-on, rigorous, and fast-paced introduction to essential skills in modern Bioinformatics and Computational Biology, modeled after the NSF "immersive learning" proposal (http://www.nsf.gov/pubs/2008/nsf08204/index.jsp) offered under the umbrella of CB2 initiative at UAB (http://www.uab.edu/cb2). The course is a 3 credit graduate course that runs for 40hrs spread over 10 consecutive days. The course is targeted towards all faculty, student, researchers at UAB. The course requires strong programming background. The participants must have either prior programming experience or have attended our CB2-101 course.
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GBSC 700-01P
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Computational Biology and bioinformatics journal club
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Offered throughout the year
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We meet every Thursday for an hour to discuss the latest and greatest in Bioinformatics and Computational Biology research. The talk involves journal article presentation and tutorial sessions of data analysis techniques. There are also occasional speakers invited from lab researchers whose work involves large-scale data analysis. The journal club is a 1 credit graduate course. To obtain credit a student must attend 7 talks and present 1 by him/herself.
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GBS 720
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Genomic Structure/Function
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Spring Semester
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This course will cover a wide variety of topics related to this topic, including genetic variation and polymorphisms, alternative splicing, microRNAs, and novel sequencing and microarray technologies.
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GBS 722
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Bioinformatics
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Spring Semester
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This course will cover a wide variety of different bioinformatics applications, which will be taught through use of available on-line bioinformatics resources. The topics covered will include: introductions to large-scale, generic databases at NCBI, European Bioinformatics Institute, SwissProt, PDB, UniProt and Ensembl; Sequence analysis systems such as BLAST, ORFFinder and GENSCAN, Multiple Sequence Analysis, gene identification in DNA and an introduction to the Human Genome Project; resources that are used in Microarray Data Analysis; Protein sequence analysis using Pfam, Prosite, Prints, Blocks, Protein structure analysis using SCOP, CATH; structural bioinformatics, secondary structure calculation, homology modeling, structure prediction, protein folding, protein-ligand docking and molecular dynamics.
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GBS 723
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Model Systems for Genetic Analysis
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Spring Semester
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The course will provide students with an in-depth knowledge of the different animal models used for analyses of gene function and genetic pathways. Topics include transgenic and knockout mouse technologies and strategies, large scale genetic screens in C. elegans and Drosophila, and modeling human genetic diseases in zebrafish.
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GBS 746
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Epigenetics
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Summer Semester
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Epigenetic regulation refers to mechanisms that control gene expression without altering DNA sequences. Elucidation of epigenetic regulatory mechanisms has received great attention in the post-tenomic era. This course will address the basic principles of epigenetics and its involvement in many different biological/pathological processes.
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GBS 726
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Advanced Medical Genetics
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Fall Semester
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This course will focus on the medical application of advances in genetics and genomics. Topics include chromosome structure and function and major types of chromosomal abnormalities, cancer genetics and cytogenetics, inborn errors of metabolism, current strategies for detection of mutations associated with genetic disorders, genetic risk assessment and population genetics, and genomic approaches to diagnosis and risk stratification.
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HON 342
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ST- Personalized Genomic Medicine
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Fall Semester
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For undergraduate Honors students only
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GBS 724
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Principles of Human Genetics
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Fall Semester
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Course required for first year GBS GGS theme students and to upper-level students as advanced course. Description: This course will cover recessive, dominant, X-linked, and mitochondrial inheritance, as well as basic cytogenetics, and chromosome abnormalities.
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GBSC 703
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Introduction to Scientific Computing
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Fall Semester
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The purpose of this course is to provide and introduction to the main computational skills required for scientific computing. Specifically, the participants are exposed to practical use of standard web available resources and computational tools for the managing molecular biology data. A successful participation includes the development of scripts and programs for analyzing large-scale data.
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