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The half-semester graduate course in Green Supply Chain Management will focus on the fundamental strategies, tools and techniques required to analyze and design environmentally sustainable supply chain systems. Topics covered include: Closed-loop supply chains, reverse logistics systems, carbon footprinting, life-cycle analysis and supply chain sustainability strategy.
Class sessions will combine presentations, case discussions and guest speakers. All students will work on a course-long team project that critically evaluates the environmental supply chain strategy of an industry or a publicly traded company. Grades will be based on class participation, case study assignments and the team project.

The half-semester graduate course in Green Supply Chain Management will focus on the fundamental strategies, tools and techniques required to analyze and design environmentally sustainable supply chain systems. Topics covered include: Closed-loop supply chains, reverse logistics systems, carbon footprinting, life-cycle analysis and supply chain sustainability strategy.
Class sessions will combine presentations, case discussions and guest speakers. All students will work on a course-long team project that critically evaluates the environmental supply chain strategy of an industry or a publicly traded company. Grades will be based on class participation, case study assignments and the team project.

Background The recent emergence of the 2009 pandemic influenza A/H1N1 virus has highlighted the value of free and open access to influenza virus genome sequence data integrated with information about other important virus characteristics.

Design The Influenza Research Database (IRD, http://www.fludb.org) is a free, open, publicly-accessible resource funded by the U.S. National Institute of Allergy and Infectious Diseases through the Bioinformatics Resource Centers program. IRD provides a comprehensive, integrated database and analysis resource for influenza sequence, surveillance, and research data, including user-friendly interfaces for data retrieval, visualization and comparative genomics analysis, together with personal log in-protected ‘workbench’ spaces for saving data sets and analysis results. IRD integrates genomic, proteomic, immune epitope, and surveillance data from a variety of sources, including public databases, computational algorithms, external research groups, and the scientific literature.

Results To demonstrate the utility of the data and analysis tools available in IRD, two scientific use cases are presented. A comparison of hemagglutinin sequence conservation and epitope coverage information revealed highly conserved protein regions that can be recognized by the human adaptive immune system as possible targets for inducing cross-protective immunity. Phylogenetic and geospatial analysis of sequences from wild bird surveillance samples revealed a possible evolutionary connection between influenza virus from Delaware Bay shorebirds and Alberta ducks.

Conclusions The IRD provides a wealth of integrated data and information about influenza virus to support research of the genetic determinants dictating virus pathogenicity, host range restriction and transmission, and to facilitate development of vaccines, diagnostics, and therapeutics.

Word Count: 7669

ISBN: 978-1-55195-484-4

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