Evolutionary algorithms for problems in functional genomics data analysis
Evolutionary algorithms for problems in functional genomics data analysis
批准号:
DP0559755
负责人:
Prof Pablo Moscato
金额:
$15.12万
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2005
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2005-06-01 至 2008-09-30
中文摘要
皮肤癌在澳大利亚人口中的发病率很高。精神分裂症是一种精神障碍,影响着全球相当大比例的人口。这两种疾病都有遗传根源,都可能由环境因素引发。我们将使用计算方法和数学算法来揭示疾病及其对环境条件的反应的遗传关系,这些方法和数学算法可以帮助确定功能,特别是在疾病状态下。了解引发这些疾病的复杂基因相互作用将在预防保健、皮肤癌和精神分裂症的遗传基础方面带来巨大好处,并可能为建立新的“个性化医疗”方法奠定基础。
英文摘要
Skin cancer has a high incidence in the Australian population. Schizophrenia is a psychiatric disorder that affects a significant proportion of the population worldwide. Both illnesses have genetic roots and can be triggered by environmental factors. We will uncover genetic relationship to disease and their responses to environmental conditions using computational methods and mathematical algorithms that can aid in the determination of function, especially in disease states. Understanding the complex genetic interactions that trigger these illnesses would give great benefits in preventive health care, skin cancer and schizophrenia genetic basis, and may lay the ground for building new methods for "personalized medicine".
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依托单位: