Introduction

Cellular metabolites are generated by a complex network of biochemical reactions. This makes interpreting changes in metabolites exceptionally challenging.

Objectives

To develop a computational tool that integrates multiomics data at the level of reactions.

Methods

Changes in metabolic reactions are modeled with input from transcriptomics/proteomics measurements of enzymes and metabolomic measurements of metabolites.

Results

We developed SUMMER, which identified more relevant signals, key metabolic reactions, and relevant underlying biological pathways in a real-world case study.

Conclusion

SUMMER performs integrative analysis for data interpretation and exploration. SUMMER is freely accessible at http://summer.salk.edu and the code is available at https://bitbucket.org/salkigc/summer.

中文翻译：

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SUMMER，代谢组学和多组学探索性研究的闪亮实用程序

介绍

细胞代谢物是由复杂的生化反应网络产生的。这使得解释代谢物的变化异常具有挑战性。

目标

开发一种在反应水平上整合多组学数据的计算工具。

方法

代谢反应的变化通过来自酶的转录组学/蛋白质组学测量和代谢物的代谢组学测量的输入进行建模。

结果

我们开发了 SUMMER，它在现实世界的案例研究中确定了更多相关信号、关键代谢反应和相关的潜在生物学途径。

结论

SUMMER 对数据解释和探索进行综合分析。SUMMER 可在 http://summer.salk.edu 上免费访问，代码可在 https://bitbucket.org/salkigc/summer 上获得。