Research Training for Computation and Informatics in Biology and Medicine

生物学和医学中的计算和信息学（CIBM）培训计划正在帮助制作 下一代生物医学问题的研究人员，在信息学和生物学方面都有优势。的 生物医学科学中计算方法和统计方法之间的相互作用不断扩大 所以现在计算机建模和信息学都扮演着关键的角色。我们的教师和学员有 一直在开发用于分析分子数据的强大算法。越来越多的问题， 生物科学正在为这些更定量的方法而措辞，计算机科学家正在 发现新的计算方法，试图解决生物学问题。而且 新的硬件、算法和软件的力量正在改变我们对复杂系统的思考 research.这些进步只有在计算机科学家足够了解 设计可用工具的问题，以及当生物科学家了解使用计算 和信息技术。 CIBM专注于开发新的生物信息学算法来分析分子数据， 包括基因组序列、蛋白质（水平、相互作用、结构）和调控途径。我们 我建议，在项目的第二阶段，我们继续这一重点，并进一步区分我们的项目 通过加入一个独特的转化医学成分。在与马什菲尔德诊所的合作中，我们 受训者将有更多的机会开发预测临床参数的算法，例如 疾病易感性或治疗反应，从组合的分子和临床数据。 CIBM制定了强有力的培训方案，包括多学科核心课程， 威斯康星州大学的生物学和计算科学环境提供了丰富的背景 研究生和博士后水平的研究培训。

The Computation and Informatics in Biology and Medicine (CIBM) training program is helping to produce the next generation of researchers of biomedical problems with strengths in both informatics and biology. The interplay between computational and statistical methods in the biomedical sciences continues to expand rapidly so that now both computer modeling and informatics play key roles. Our faculty and trainees have been developing robust algorithms for the analysis of molecular data. Increasingly, questions in the biosciences are being phrased for these more quantitative approaches, and computer scientists are discovering new computational approaches in attempting to address biological problems. Furthermore, the power of new hardware, algorithms, and software is transforming our thinking about complex systems research. These advances are only possible when computer scientists understand enough about the problems to design usable tools and when bioscientists understand what is possible using computational and information technologies. CIBM has focused on the development of novel bioinformatics algorithms to analyze molecular data, including genome sequences, proteins (levels, interactions, structures), and regulatory pathways. We propose that for phase two of the program that we continue this focus and to further distinguish our program by adding a unique translational medicine component. In a collaboration with the Marshfield Clinic, our trainees will have the added opportunity to develop algorithms to predict clinical parameters, such as disease susceptibility or treatment response, from combined molecular and clinical data. A strong training program, including a multidisciplinary core curriculum has been developed at CIBM, and the environment at the University of Wisconsin in biology and computational sciences provides a rich setting for research training at the graduate and postdoctoral level.