Research Training for Computation and Informatics in Biology and Medicine

描述（由申请人提供）： 生物学和医学中的计算和信息学（CIBM）培训计划正在帮助培养下一代具有信息学和生物学优势的生物医学问题研究人员。生物医学科学中计算和统计方法之间的相互作用继续迅速扩大，现在计算机建模和信息学都发挥着关键作用。我们的教师和学员一直在开发用于分子数据分析的强大算法。生物科学中的问题越来越多地被这些更定量的方法所描述，计算机科学家正在发现新的计算方法来试图解决生物学问题。此外，新硬件、算法和软件的力量正在改变我们对复杂系统研究的思考。只有当计算机科学家对设计可用工具的问题有足够的了解，以及当生物科学家了解使用计算和信息技术的可能性时，这些进步才有可能。 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。我们建议在项目的第二阶段，我们继续这一重点，并通过增加一个独特的转化医学组成部分来进一步区分我们的项目。在与马什菲尔德诊所的合作中，我们的学员将有更多的机会开发算法来预测临床参数，如疾病易感性或治疗反应，从组合的分子和临床数据。 一个强大的培训计划，包括一个多学科的核心课程已经在CIBM开发，并在生物学和计算科学的威斯康星州大学的环境提供了丰富的设置在研究生和博士后水平的研究培训。

DESCRIPTION (provided by applicant): 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.