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Graph-based analysis and visualization of experimental results with ONDEX

机译:基于图形的分析和INDEX实验结果的可视化

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Motivation: Assembling the relevant information needed to interpret the output from high-throughput, genome scale, experiments such as gene expression microarrays is challenging. Analysis reveals genes that show statistically significant changes in expression levels, but more information is needed to determine their biological relevance. The challenge is to bring these genes together with biological information distributed across hundreds of databases or buried in the scientific literature (millions of articles). Software tools are needed to automate this task which at present is labor-intensive and requires considerable informatics and biological expertise.
机译:动机:收集解释高通量,基因组规模的输出,基因表达微阵列等实验所需的相关信息具有挑战性。分析揭示了在表达水平上具有统计学上显着变化的基因,但是需要更多信息来确定其生物学相关性。面临的挑战是将这些基因与分布在数百个数据库中或埋藏在科学文献(数百万篇文章)中的生物学信息结合在一起。需要软件工具来使该任务自动化,该任务目前是劳动密集型的,并且需要大量的信息学和生物学专业知识。

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