Translating data into knowledge: From biomedical sequences and text to disease prediction and prevention

自人类基因组测序以来产生的大量数据为了解常见复杂疾病背后的生物过程和治疗这些疾病带来了希望。为了有效地利用这些数据并实现这些希望，必须开发针对特定生物医学需求精心定制的计算分析工具。从广义上讲，拟议研究的目标是开发用于生物医学数据的计算，智能，统计数据分析工具，并以支持解释和预测疾病的方式模拟复杂的生物系统。

The tremendous amount of data produced since the sequencing of the human genome raise hopes for understanding biological processes underlying common complex diseases and for curing them. To effectively use the data and realize these hopes, computational analysis tools - carefully tailored for specific biomedical needs - must be developed. In broad terms, the goals of the proposed research are to develop computational, intelligent, statistical data analysis tools for biomedical data, and to model complex biological systems in a way that supports explanation and prediction of disease.