Making proteomics accessible: RokaiXplorer for interactive analysis of phospho-proteomic data.


Journal

Bioinformatics advances
ISSN: 2635-0041
Titre abrégé: Bioinform Adv
Pays: England
ID NLM: 9918282081306676

Informations de publication

Date de publication:
2024
Historique:
received: 08 01 2024
revised: 07 03 2024
accepted: 05 06 2024
medline: 23 9 2024
pubmed: 23 9 2024
entrez: 23 9 2024
Statut: epublish

Résumé

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. Access RokaiXplorer at: http://explorer.rokai.io.

Identifiants

pubmed: 39310046
doi: 10.1093/bioadv/vbae077
pii: vbae077
pmc: PMC11415779
doi:

Banques de données

figshare
['10.6084/m9.figshare.23903715.v1']

Types de publication

Journal Article

Langues

eng

Pagination

vbae077

Informations de copyright

Published by Oxford University Press 2024.

Déclaration de conflit d'intérêts

No competing interest is declared.

Auteurs

Serhan Yılmaz (S)

Department of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH, 44106, United States.

Filipa Blasco Tavares Pereira Lopes (F)

Department of Nutrition, Case Western Reserve University, Cleveland, OH, 44106, United States.
Center for Proteomics and Bioinformatics, Case Western Reserve University, Cleveland, OH, 44106, United States.

Daniela Schlatzer (D)

Department of Nutrition, Case Western Reserve University, Cleveland, OH, 44106, United States.
Center for Proteomics and Bioinformatics, Case Western Reserve University, Cleveland, OH, 44106, United States.

Marzieh Ayati (M)

Department of Computer Science, University of Texas Rio Grande Valley, Edinburg, TX 78701, United States.

Mark R Chance (MR)

Department of Nutrition, Case Western Reserve University, Cleveland, OH, 44106, United States.
Center for Proteomics and Bioinformatics, Case Western Reserve University, Cleveland, OH, 44106, United States.

Mehmet Koyutürk (M)

Department of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH, 44106, United States.
Center for Proteomics and Bioinformatics, Case Western Reserve University, Cleveland, OH, 44106, United States.

Classifications MeSH