Protein microarray is a well-established approach for characterizing activity levels of thousands of proteins in a parallel manner. Analysis of protein microarray data is complex and time-consuming, while existing solutions are either outdated or challenging to use without programming skills. The typical data analysis pipeline consists of a data preprocessing step, followed by differential expression analysis, which is then put into context via functional enrichment. Normally, biologists would need to assemble their own workflow by combining a set of unrelated tools to analyze experimental data. Provided that most of these tools are developed independently by various bioinformatics groups, making them work together could be a real challenge. Here we present PAWER, the online web tool dedicated solely to protein microarray analysis. PAWER enables biologists to carry out all the necessary analysis steps in one go. PAWER provides access to state-of-the-art computational methods through the user-friendly interface, resulting in publication-ready illustrations. We also provide an R package for more advanced use cases, such as bespoke analysis workflows. PAWER is freely available at https://biit.cs.ut.ee/pawer .

中文翻译：

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PAWER：蛋白质阵列网络浏览器。

蛋白质微阵列是一种以并行方式表征数千种蛋白质活性水平的公认方法。蛋白质微阵列数据的分析是复杂且耗时的，而现有的解决方案要么过时，要么在没有编程技能的情况下难以使用。典型的数据分析管道包括一个数据预处理步骤，然后是差异表达分析，然后通过功能扩充将其置于上下文中。通常，生物学家需要结合一组不相关的工具来分析实验数据，从而组装自己的工作流程。如果这些工具中的大多数是由不同的生物信息学小组独立开发的，那么使它们一起工作将是一个真正的挑战。在这里，我们介绍PAWER，这是专门用于蛋白质微阵列分析的在线网络工具。PAWER使生物学家能够一次性完成所有必要的分析步骤。PAWER通过用户友好的界面提供对最新计算方法的访问，从而产生可用于出版物的插图。我们还提供了R包，用于更高级的用例，例如定制分析工作流。PAWER可从https://biit.cs.ut.ee/pawer免费获得。