Cloud computing offers low cost and highly flexible opportunities in bioinformatics. Its potential has already been demonstrated in high-throughput sequence data analysis. Pathway-based or gene set analysis of expression data has received relatively less attention. We developed a gene set analysis algorithm for biomarker identification in the cloud. The resulting tool, YunBe, is ready to use on Amazon Web Services. Moreover, here we compare its performance to those obtained with desktop and computing cluster solutions.
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机译：云计算为生物信息学提供了低成本和高度灵活的机会。它的潜力已经在高通量序列数据分析中得到证明。基于通路或表达数据的基因组分析的关注相对较少。我们开发了一种用于云中生物标记识别的基因集分析算法。生成的工具YunBe可随时在Amazon Web Services上使用。此外，在这里，我们将其性能与台式机和计算群集解决方案所获得的性能进行比较。
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