连接地图:使用基因表达特征连接小分子,基因和疾病
Justin Lamb1, Emily D Crawford, David Peck
1Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA. justin@broad.mit.edu
概括
研究人员创建了一个基因表达特征数据库,以找到疾病,遗传变化和药物影响之间的联系. 这个"连接地图"资源有助于发现分子,过程和潜在的治疗方法之间的联系.
科学领域:
- 药物基因组学 药物基因组学
- 系统生物学 系统生物学
- 计算生物学是一种计算生物学.
背景情况:
- 发现疾病,遗传干扰和药物作用之间的功能联系是复杂的.
- 现有的方法往往缺乏系统的方法来整合多样化的生物数据.
研究的目的:
- 建立一个全面的基因表达特征的基因表达特征从人体细胞治疗生物活性小分子的综合参考集合.
- 开发模式匹配软件来挖掘这些表达数据以发现生物联系.
主要方法:
- 从暴露于各种生物活性小分子的培养人类细胞中生成基因表达特征.
- 开发并应用模式匹配算法来分析基因表达数据.
- 使用了使用的方法.
主要成果:
- 演示了这个世界.
结论:
- 这是一个很棒的节目,这是一个很棒的节目.
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