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  • AVN 9980: Directed Readings In Pa

    1.00 - 6.00 Credits
    University of Nebraska at Omaha

    This course is designed to provide the advanced graduate student with the opportunity to do extended readings on a specialized public administration topic. Cross-listed with PA 9980.
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  • BIOI 1000: Intro To Bioinformatics

    3.00 Credits
    University of Nebraska at Omaha

    Bioinformatics is a new scientific discipline that combines computer science and mathematics to help solve problems in molecular biology. The field is growing rapidly in response to the explosion of data generated by the sequence, proteomics, and protein structural tools of modern biology. This course will provide a broad overview of the field and selected topics of fundamental importance to it. Specific topics will include the scope and range of bioinformatics, career opportunities, an introduction to the molecular biology, chemistry, and mathematics needed to understand the problems examined in bioinformatics, and the tools used by bioinformaticians to address these problems.
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  • BIOI 3000: Applied Bioinformatics

    3.00 Credits
    University of Nebraska at Omaha

    This course will provide students basic knowledge and practical skills needed for bioinformatics, genomics and proteomics analyses and research. The topics covered include biological databases, molecular biology tools (e.g., primer design, contig assembly), gene prediction and mining, database searches, genome comparison, pairwise and multiple alignments, phylogenetic inference, RNA secondary structure, microarray data analyses, functional annotation of protein sequences, protein structure and modeling. Both commonly used and specialized software (e.g., GCG, Vector NTI, Entrez, BLAST, ClustalX, Phylip, PyMOL, and SwissPDBviewer) will be illustrated and exercised in class. At the end of this course, students will be able to apply the knowledge learned in class to solve practical problems in bioinformatics
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  • BIOI 4860: Bioinformatics Algorithms

    3.00 Credits
    University of Nebraska at Omaha

    The main objective of this course is to provide an organized forum for students to learn recent developments in Bioinformatics, particularly, from the algorithmic standpoint. The course will present basic algorithmic concepts in Bioinformatics and show how they are connected to molecular biology and biotechnology. Standard topics in the field such as restriction mapping, motif finding, sequence comparison, and database search will be covered. The course will also address problems related to Bioinformatics like next generation sequencing, DNA arrays, genome rearrangements and biological networks. (Cross-listed with BIOI 8866).
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  • BIOI 4890: Computerized Genetic Seqnce An

    3.00 Credits
    University of Nebraska at Omaha

    The goal of this course is to introduce students to major topics in computerized analysis of genetic sequences. In particular the class will allow students to become familiar with the computational tools and software that aid in the modern molecular biology experiments and analysis of experimental results. Following the completion of this course, it is expected that the students will have a basic understanding of the theoretical foundations of the sequence analysis tools and develop competence in evaluating the output from these tools in a biological context. This course will emphasize hands-on experience with the programs for nucleotide and amino acid sequence analysis and molecular phylogeny.
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  • BIOI 4960: Seminar In Bioinformatics

    1.00 Credits
    University of Nebraska at Omaha

    This senior-level course intended for undergraduate Bioinformatics students will focus on various topics and course contents from one semester to the next. Topics that will be covered are those that are not normally covered in the Bioinformatics degree program but those suitable for upper-level students.
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  • BIOI 4970: Senior Proj In Bioinformtcs

    1.00 Credits
    University of Nebraska at Omaha

    This course is the first part of a two-part series that allows students to work on a guided research project on a specific topic in bioinformatics. The goal of this course is for the student to decide on a research topic and to write a detailed proposal based on this topic that outlines the goals and objectives of the proposed research. The topic and proposal will be approved by the supervising faculty member.
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  • BIOI 4980: Sr Proj In Bioinformatics Ii

    2.00 Credits
    University of Nebraska at Omaha

    This course is the second part of a two-part series that allows the student to work on a guided research project on a specific topic in bioinformatics. The goal of this course is for the student to perform the research proposed in Part I of the course and to present the results of his or her work. Presentations will be made in the form of a report, written as a scientific research paper, and an oral defense.
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  • BIOI 8866: Bioinformatics Algorithms

    3.00 Credits
    University of Nebraska at Omaha

    The main objective of this course is to provide an organized forum for students to learn recent developments in Bioinformatics, particularly, from the algorithmic standpoint. The course will present basic algorithmic concepts in Bioinformatics and show how they are connected to molecular biology and biotechnology. Standard topics in the field such as restriction mapping, motif finding, sequence comparison, and database search will be covered. The course will also address problems related to Bioinformatics like next generation sequencing, DNA arrays, genome rearrangements and biological networks. (Cross-listed with BIOI 4860).
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  • BIOI 8896: Genetic Sequence Analysis

    3.00 Credits
    University of Nebraska at Omaha

    The goal of this course is to introduce students to major topics in computerized analysis of genetic sequences. In particular the course will allow students to become familiar with the computational tools and software that aid in the modern molecular biology experiments and analysis of experimental results. Following the completion of this course, it is expected that the students will have a basic understanding of the theoretical foundations of the sequence analysis tools and develop competence in evaluating the output from these tools in a biological context. This course will emphasize hands-on experience with the programs for nucleotide and amino acid sequence analysis and molecular phylogeny.
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