Systems Biology Core

系统生物学是指从数学， 工程学、计算机科学、物理学和化学，目的是从 数据-特别是复杂、动态和/或高维的数据。系统生物学使得 使用明确的定量模型，并关注如何从数据中导出有用的模型 以及如何使用模型来生成假设并推动新数据的收集。 现代生物学和生物医学研究越来越依赖于系统生物学方法， 然而，由于实施这些方法所需的技能和见解来自如此多的不同领域， 然而，对于研究人员来说，充分利用这些学科可能是一项挑战。系统的目标 生物学核心是使皮肤生物学研究人员将系统生物学纳入他们的研究， 提高生产力和增加研究影响。核心将帮助皮肤生物学家获得更多 从数据中建立有意义的模型;建立和分析明确的定量模型;使用模型来解释，分析， 和集成数据（包括其他核心生成的数据）;使用模型生成可测试的 关于功能的假设;更好地理解和利用借鉴系统生物学思想的文献 和方法。通过系统生物学核心提供的方法学特别好， 适合于建立在来自成像工作的数据的基础上，并为成像工作提供输入， 基因组学/生物信息学核心。 实现这些目标的策略包括为皮肤生物学家举办有针对性的研讨会， 生物学家在一年一度的系统生物学务虚会上，皮肤生物学家在系统生物学“诊所”中识别 需要注意的问题和个性化咨询。这些战略利用了专业知识， 三个系统生物学系的资源，具有建模和数据分析方面的专业知识;长期 教授跨学科科学的经验;以及与皮肤生物学家合作的记录。它还 利用了一个致力于系统生物学的大型校园中心的基础设施，该中心的复杂 生物系统。

Systems Biology refers to the integration into biology of ideas and methodologies from mathematics, engineering, computer science, physics, and chemistry, with the goal of deriving greater understanding from data—especially data that are complex, dynamic and/or high-dimensional. Systems biology makes frequent use of explicit, quantitative models, and concerns itself both with how useful models can be derived from data as well as how models can be used to generate hypotheses and drive the collection of new data. Modern biological and biomedical research are becoming increasing reliant on systems biology approaches, yet because the skills and insights necessary to implement such approaches come from so many different disciplines, it can be challenging for researchers to take full advantage of them. The goal of the Systems Biology Core is to enable skin biology researchers to incorporate systems biology in their research, thereby enhancing productivity and increasing research impact. The core will help skin biologists derive more meaningful models from data; build and analyze explicit, quantitative models; use models to interpret, analyze, and integrate data (including data generated by other cores); use models to generate and prioritize testable hypotheses about function; and better understand and utilize literature that draws upon systems biology ideas and approaches. Methodologies to be made available through the Systems Biology Core are especially well suited to building upon data from, and providing input into, the efforts of the imaging and genomics/bioinformatics cores. Strategies for achieving these goals include targeted workshops for skin biologists, inclusion of skin biologists in an annual systems biology retreat, systems biology “clinics” at which skin biologists identify problems in need of attention, and individualized consultation. These strategies leverage the expertise and resources of three systems biology faculty with expertise in modeling and data analysis; long-standing experience in teaching interdisciplinary science; and a track-record of collaboration with skin biologists. It also leverages the infrastructure of a large campus-wide center devoted to systems biology, the Center for Complex Biological Systems.