Background: Protein microarray is a well-established approach for characterizing\nactivity levels of thousands of proteins in a parallel manner. Analysis of protein\nmicroarray data is complex and time-consuming, while existing solutions are either\noutdated or challenging to use without programming skills. The typical data analysis\npipeline consists of a data preprocessing step, followed by differential expression\nanalysis, which is then put into context via functional enrichment. Normally, biologists\nwould need to assemble their own workflow by combining a set of unrelated tools to\nanalyze experimental data. Provided that most of these tools are developed\nindependently by various bioinformatics groups, making them work together could be\na real challenge.
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