PAWER: protein array web exploreR

BMC Bioinformatics

Ivan Kuzmin¹  Hedi Peterson²  Dmytro Fishman²  Priit Adler²  Jaak Vilo² 

[1] Institute of Computer Science, University of Tartu, Narva mnt 18, 51009, Tartu, Estonia;Institute of Computer Science, University of Tartu, Narva mnt 18, 51009, Tartu, Estonia;Quretec Ltd, Ülikooli 6a, 51003, Tartu, Estonia;

关键词: Protein microarray;    Data analysis;    Web tool;    Normalisation;    Visualisation;   

DOI  :  10.1186/s12859-020-03722-z

来源: Springer

【 摘 要 】

BackgroundProtein 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 Analysis of protein microarray data is complex and time-consuming, while existing solutions are either outdated or challenging to use without programming skills.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.ResultsHere 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.ConclusionsPAWER is freely available at https://biit.cs.ut.ee/pawer.

【 授权许可】

CC BY