生物信息学理学硕士-作物科学

作物科学系正在通过本地和国际研究来促进农业发展，以在保护环境的同时提高粮食安全。我们的国际公认的教师领先的前沿研究计划旨在教育下一代农业专业人员。全球影响力。每天都有数百万人营养不良。他们没有干净的水可以喝，也没有营养的食物。我们正在改变它。我们在这里教育未来的领导者，为世界提供粮食和燃料。在本地和全球范围内，在教室和现场，我们正在与学生，科学家，社区和生产者合作，以提高食品和燃料的安全性。通过这些研究合作，我们正在开发新的农作物品种，农业生产工艺以及革新食品系统和农业的技术。
Behind all medical data is a human. You’ll keep this in mind as you master core competencies that prepare you for professional roles in translational research and development, institutional management, public policy, information systems, hospitals and private industry. Coursework is designed to develop your skills in statistical analysis and biomedical informatics while helping you become a competent researcher, effective communicator, ethical and responsible actor, and positive presence in your community. This program allows you to direct your course of study (individualized informatics) or choose from four distinct emphasis areas tailored to your academic and career goals. Students pursuing independent research careers should enroll in the thesiscapstone track, whereas students pursuing industry careers may opt for the non-thesis track.<br>The Genomics Emphasis Area emphasizes the use of existing software for biological analysis and the analysis of a diverse set of biological data. Students in the Genomics Emphasis Area are interested in learning to use and develop informatic tools to answer primary, hypothesis-driven research questions in the biological sciences. They generally have a very strong biology background married to experience with computer systems, including database designadministration andor computer programming. Our students are motivated by research interests to stretch the boundaries of current computational tools for biology, and want to understand the assumptions that underlie current algorithms for analyzing data in fields such as genomics, proteomics, structural biology, and biochemistry. Upon completion of the Genomics Emphasis Area our students should be attractive candidates for jobs in industry, leading teams to produce informatic solutions to biological research problems. In addition, they may seek positions in academics pursuing the development of computational tools and shaping hypothesis driven research. Their skills will be in demand when people who are primarily biologists need to interact and communicate with computer scientists.