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  • BI 499: Advanced Independent Research

    6.00 Credits
    Boston College

    See the College of Arts and Sciences section of this Catalog for a description of the Scholar of the College program. This course can count as a maximum of one upper-division elective if no other elective credit has been claimed for other research courses.
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  • BI 503: Current Topics in Cancer Research

    3.00 Credits
    Boston College

    This seminar course will review evidence showing that impaired cellular energy metabolism is the defining characteristic of nearly all cancers regardless of cellular or tissue origin. In contrast to normal cells, which derive most of their usable energy from oxidative phosphorylation, nearly all cancer cells become dependent on non-oxidative substrate level phosphorylations to meet energy demands. Evidence will be discussed supporting a general hypothesis that all hallmarks of cancer including genomic instability and metastasis can be linked to impaired mitochondrial function. A view of cancer as a metabolic disease will impact approaches to cancer management and prevention.
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  • BI 506: Recombinant DNA Technology

    3.00 Credits
    Boston College

    This course will describe the theory and practice of recombinant DNA technology and its application within molecular biology research. Topics will include the cloning of genes from various organisms, plasmid construction, transcriptional and translational gene fusions, nucleic acid probes, site-directed mutagenesis, polymerase chain reaction, and transgenic animals. The goal of the course is to make the research-oriented student aware of the wealth of experimental approaches available through this technology.
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  • BI 508: Algorithms in Computational Biology

    3.00 Credits
    Boston College

    An understanding of important algorithms in the field of computational molecular biology is vital to bioinformatics researchers. We will cover basic computational biology (genomics, structural biology, systems biology). Topics may include: pairwise, multiple and wraparound alignment (tandem repeats), genomic rearrangements, Monte Carlo, genetic algorithms, hidden Markov models, phyogenetic trees, RNA and protein secondary structure, machine learning (neural networks, support vector machines), gene finders, clustering, microarray data, transcription factor binding site detection, etc. Since bioinformatics programs depend on elementary probability theory (p-value, Markov chain, etc.) the course begins by a presentation of the most important concepts in that field.
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  • BI 509: Vertebrate Cell Biology

    3.00 Credits
    Boston College

    This is an advanced cell biology course focusing on the differentiation of vertebrate cell types from each of the three germ layers and their morphogenesis into multicellular arrangements, such as tissues and organs. The factors and environmental signals that influence these processes will be examined together with structure/function relationships of the cells within the organ systems. Topics will include stem cells, several types of epithelial cells, cells of the circulatory and nervous system as well as cell types that comprise connective tissue, including adipose, bone and muscle.
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  • BI 513: Environmental Disruptors of Development

    3.00 Credits
    Boston College

    More than 100,000 chemicals are manufactured and may end up as environmental pollutants. Some have toxic effects at high concentrations and protection plans are already in place. However, embryonic, fetal or neonatal exposure to low "safe" levels of numerous pollutants can (1) induce subtle changes in developmental programs regulated by steroid hormones; (2) increase the reproductive, immune, metabolic or cognitive disorders and (3) increase the risk of adult-onset disorders (breast cancer, prostrate cancer, diabetes, reduced fertility). This course will examine experiments regarding Environmental Endocrine Disruptors and consider how this work is important in the development of regulatory policy.
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  • BI 517: Human Parasitology

    3.00 Credits
    Boston College

    This course is an introduction to the biology and biochemistry of parasites, organisms that live at the expense of other organisms. Parasitology covers a wide range of organisms ranging from protozoa like malaria to roundworms, tapeworms, fleas and ticks. Parasites have an important impact on human health, and global public health efforts toward control will be highlighted. The course will study the adaptations of parasites to their ecological niches in their infected hosts and the pathology resulting from parasitic infections.
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  • BI 524: Computational Foundations of Bioinformatics

    3.00 Credits
    Boston College

    Biology is increasingly a field dominated by high-throughput methods, yielding large data sets which require data analysis using both public domain/commercial software as well as new algorithms to be implemented in a programming language. Bioinformatics is an interdisciplinary area concerned with the application of mathematics, statistics and programming to solve mainstream problems in biology. In this course, we will learn basic bioinformatics computer skills: UNIX, python and perl programming, parsing biological databases.
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  • BI 527: Neurobiology of Disease

    3.00 Credits
    Boston College

    This course will delve into the effects of neurological and neurodegenerative diseases such as Alzheimer's disease, Parkinson's disease and Multiple Sclerosis, on human behavior, CNS physiology and anatomy. The course will draw on current primary and review literature for background readings, as well as Web conferencing to connect personally with the authors who have performed and published the cutting edge research. This will allow the students a deeper understanding of the particular disease, as well as the process of scientific research and current laboratory techniques available to study the molecular and cellular underpinnings of these diseases.
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  • BI 528: Biotechnology Research Topics

    3.00 Credits
    Boston College

    Biotechnology and pharmaceutical companies have rich and diverse research programs that are used to develop novel therapeutics, diagnostics and technologies. We will use both scientific literature and other web-based materials, as well as the principles of cell biology, molecular biology and biochemistry, to explore and understand the applications of these research programs and technologies.
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