会展名称 | 2012年基因组学与核计算复合会议(CTGCA) |
布展时间 | 2012年2月19日 |
展览时间 | 2012年2月20日—2012年2月25日 |
撤展时间 | 2012年2月26日 |
所在地址 |
美国 布雷肯里奇 |
会展场馆 | 海狸跑度假胜地 |
参会注册费 | 可以. 会员490美元/非会员865美元 服务费300人民币/人 |
代送签证 | 可以. 服务费500人民币/人 |
代订机票 | 可以. 请与客服人员联系 |
代定展位 |
不可以 |
代定酒店 |
可以. 服务费为总费用15% |
会展描述 |
Complex traits are driven by constellations of genetic and environmental factors interacting in complex ways. Genetic and environmental perturbations do not directly lead to disease but, rather, impact molecular processes that underlie physiological states associated with disease. Therefore, in order to develop a complete understanding of complex traits like disease, biological systems must be queried in a comprehensive fashion in multiple dimensions. Different data dimensions like genotype, gene expression, proteomic and metabolomic offer complementary views that are useful individually and exceptionally valuable collectively. Without mastering the large-scale molecular data that underlies pathophysiological states, without sophisticated mathematical algorithms capable of data integration, and without an appropriate informatics infrastructure to apply these algorithms and translate the results into manageable bites of information that can be consumed by physicians and patients, efforts to realize the dream of personalized medicine will be difficult to achieve. Towards this end of realizing the promise of personalized medicine, the Keystone Symposia meeting on Complex Traits: Genomics and Computational Approaches will focus on three different areas: 1) methods for integrating diverse, large-scale, high-dimensional data with clinical phenotypes to construct predictive models (e.g., networks) of disease; 2) application of integrative biology approaches that combine large-scale molecular and clinical phenotype information to elucidate the underlying causes of disease and to prioritize drug targets and biomarkers; and 3) technological advances that will drive a dramatic explosion in data that will enable better models of disease and solutions to address the problem of how to enable others to share big data, interact with complex models and refine those models to improve our understanding of disease and associated biological processes. 复杂的特征被星座与遗传和环境因素有关,在复杂的方式相互作用。遗传和环境扰动不直接导致疾病,而是分子过程影响生理状态促成疾病相关。因此,为了建立一套完整的理解复杂的特征(例如疾病、生物系统必须质疑一个全面的时尚在多个方面。不同基因型、数据维数基因表达,如蛋白质组学和代谢组学提供补充观点特别有价值的个人和集体的有用。没有掌握大型分子数据的基础病理生理学状态,没有复杂的数学算法中数据集成能力,也没有一个合适的信息基础设施应用这些算法和翻译成易于操作的结果咬资料,可以被医生和患者,努力实现梦想的个体化治疗将难以实现。为达此目的的实现个体化给药的承诺,学术会议的重点,在复杂的特征:基因组学和计算方法将集中在三个方面: |
展会周期 |
每年一届 |
注意事项 |
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