首页> 外文会议>PSB;Pacific symposium on biocomputing; 20090105-09;20090105-09; Kohala Coast, HI(US);Kohala Coast, HI(US) >KNOWLEDGE-DRIVEN ANALYSIS AND DATA INTEGRATION FOR HIGH-THROUGHPUT BIOLOGICAL DATA
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KNOWLEDGE-DRIVEN ANALYSIS AND DATA INTEGRATION FOR HIGH-THROUGHPUT BIOLOGICAL DATA

机译:高通量生物数据的知识驱动分析和数据集成

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摘要

There is a data explosion overtaking medicine and biology due to the development of high-throughput technologies for measuring most molecular constituents of cells. Novel sequencing approaches are now nearing the $1000 genome. SNPchips already measure individual genetic variation for the same cost, and microrarrays provide a global picture of the transcripts, with miRNAs and exon level analyses beginning. Proteomic measurements, both from mass spectrometry and from antibody arrays, are probing increasing amounts of the proteome, and NMR techniques are doing the same for metabolic components. The goal is a deeper view into the complexity of biological systems, with the ultimate prize being personalized medicine and finely targeted therapies.
机译:由于用于测量细胞大多数分子成分的高通量技术的发展,出现了数据爆炸超过医学和生物学的现象。现在,新型测序方法已接近1000美元的基因组。 SNPchips已经以相同的成本衡量了个体的遗传变异,微阵列芯片提供了转录本的全貌,同时开始了miRNA和外显子水平分析。来自质谱和抗体阵列的蛋白质组学测量正在探测蛋白质组的增加,而NMR技术对于代谢成分也是如此。目的是更深入地了解生物系统的复杂性,其最终奖将是个性化药物和精确靶向的疗法。

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