Related Experiment Video
Updated: Jan 19, 2026

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
CroP-Coordinated Panel visualization for biological networks analysis
António Cruz1, Penousal Machado1, Joel P Arrais1
1CISUC, Department of Informatics Engineering, University of Coimbra, Coimbra 3030-290, Portugal.
Summary:
CroP is a data visualization application that focuses on the analysis of relational data that changes over time. While it was specifically designed for addressing the preeminent need to interpret large scale time series from gene expression studies, CroP is prepared to analyze datasets from multiple contexts. Multiple datasets can be uploaded simultaneously and viewed through dynamic visualization models, which are contained within flexible panels that allow users to adapt the workspace to their data. Through clustering and the time curve visualization it is possible to quickly identify groups of data points with similar proprieties or behaviors, as well as temporal patterns across all points, such as periodic waves of expression. Additionally, it integrates a public biomedical database for gene annotation. CroP will be of major interest to biologists who seek to extract relations from complex sets of data.
Availability And Implementation:
CroP is freely available for download as an executable jar at https://cdv.dei.uc.pt/crop/.
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