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TECHNOLOGY AND CODE article
Front. Oncol.
Sec. Molecular and Cellular Oncology
Volume 15 - 2025 |
doi: 10.3389/fonc.2025.1539782
This article is part of the Research Topic Investigating the Interplay Between Tumor Mutations, Immune Evasion, and Targeted Therapy Resistance View all 12 articles
Virusplot: a web server for viral integration analysis and visualization
Provisionally accepted- 1 Albert Einstein College of Medicine, New York City, United States
- 2 Department of Pathology, Albert Einstein College of Medicine, Bronx, New York, United States
- 3 The University of Texas at Austin, Austin, Texas, United States
- 4 Department of Otorhinolaryngology Head and Neck Surgery, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, United States
- 5 Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, United States
- 6 Department of Head and Neck-Endocrine Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, United States
- 7 Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States
The integration of viral DNA into the human genome is a critical event in the pathogenesis of various cancers. This process leads to genomic instability, disrupts cellular regulatory mechanisms, and activates oncogenes or inactivates tumor suppressor genes. Despite significant advancements in genome sequencing technologies, there remains a notable lack of computational tools, particularly web-based applications, specifically designed for viral integration analysis and visualization. To address this gap, we present virusPlot, a web server with the following functional modules: (i) automatic retrieval of virus genome sequences and their annotation; (ii) visualization of virus integration locations and read counts through a graphical representation that links viral and host genome integration sites, facilitating the interpretation of integration patterns; (iii) analysis of virus integration hotspots using Fisher's exact test; and (iv) integration of various functions into an interactive web platform via shinyapp. VirusPlot efficiently processes and visualizes integration data from viruses and host genomes, providing researchers with an intuitive and user-friendly analytical tool that simplifies the complexity of virus integration analysis.
Keywords: viral integration, genomic visualization, Hotspot analysis, Computational Biology, Bioinformatics tool, host-virus interaction
Received: 04 Dec 2024; Accepted: 31 Jan 2025.
Copyright: © 2025 Yin, Hu, An, Gersten, Wu, Kawachi, Zhu, Rosenblatt, Augustine, Smith, Segall, Ostrer, Amelio, Chung, Prystowsky, Ow and Deng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Shanye Yin, Albert Einstein College of Medicine, New York City, United States
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