CAT PETR: a graphical user interface for differential analysis of phosphorylation and expression data

Flanagan Keegan, Pelech Steven, Av-Gay Yossef () and Dao Duc Khanh ()
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Flanagan Keegan: Department of Mathematics and Department of Microbiology and Immunology, University of British Columbia, Vancouver, Canada
Pelech Steven: Department of Medicine, Kinexus Bioinformatics Corporation and University of British Columbia, Vancouver, Canada
Av-Gay Yossef: Department of Microbiology and Immunology, University of British Columbia, Vancouver, Canada
Dao Duc Khanh: Department of Mathematics, University of British Columbia, Vancouver, Canada

Statistical Applications in Genetics and Molecular Biology, 2023, vol. 22, issue 1, 5

Abstract: Antibody microarray data provides a powerful and high-throughput tool to monitor global changes in cellular response to perturbation or genetic manipulation. However, while collecting such data has become increasingly accessible, a lack of specific computational tools has made their analysis limited. Here we present CAT PETR, a user friendly web application for the differential analysis of expression and phosphorylation data collected via antibody microarrays. Our application addresses the limitations of other GUI based tools by providing various data input options and visualizations. To illustrate its capabilities on real data, we show that CAT PETR both replicates previous findings, and reveals additional insights, using its advanced visualization and statistical options.

Keywords: antibody microarray; differential analysis; microarray services; phosphorylation; visualization (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1515/sagmb-2023-0017

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