Computer Science Faculty Publications and Presentations
Document Type
Article
Publication Date
6-20-2024
Abstract
We present RokaiXplorer, an intuitive web tool designed to address the scarcity of user-friendly solutions for proteomics and phospho-proteomics data analysis and visualization. RokaiXplorer streamlines data processing, analysis, and visualization through an interactive online interface, making it accessible to researchers without specialized training in proteomics or data science. With its comprehensive suite of modules, RokaiXplorer facilitates phospho-proteomic analysis at the level of phosphosites, proteins, kinases, biological processes, and pathways. The tool offers functionalities such as data normalization, statistical testing, activity inference, pathway enrichment, subgroup analysis, automated report generation, and multiple visualizations, including volcano plots, bar plots, heat maps, and network views. As a unique feature, RokaiXplorer allows researchers to effortlessly deploy their own data browsers, enabling interactive sharing of research data and findings. Overall, RokaiXplorer fills an important gap in phospho-proteomic data analysis by providing the ability to comprehensively analyze data at multiple levels within a single application.
Availability and implementation: Access RokaiXplorer at: http://explorer.rokai.io.
Recommended Citation
Yılmaz, Serhan, Filipa Blasco Tavares Pereira Lopes, Daniela Schlatzer, Marzieh Ayati, Mark R. Chance, and Mehmet Koyutürk. "Making Proteomics Accessible: RokaiXplorer for interactive analysis of phospho-proteomic data." Bioinformatics Advances 4, no. 1 (2024): vbae077. https://doi.org/10.1093/bioadv/vbae077
Publication Title
Bioinformatics Advances
DOI
10.1093/bioadv/vbae077
Comments
This work is written by (a) US Government employee(s) and is in the public domain in the US.