Biology:BioUML
| Original author(s) | Fedor A. Kolpakov |
|---|---|
| Developer(s) | BioUML team |
| Initial release | 2002 |
| Stable release | v. 2023.3
/ September 2023 |
| Written in | Java |
| Available in | English |
| Type | Bioinformatics |
| Website | https://www.biouml.org/ |
BioUML (Biological Universal Modeling Language)[1][2] is an open-source web-based software platform written in Java with support for JavaScript and R. The main field is systems biology and data analysis - visualization of biological data, modeling of biological systems, as well as access to bioinformatics databases.[2][3] It was originally developed by Fedor Kolpakov in 2002 in collaboration between Biosoft.Ru and the Institute of Systems Biology in Novosibirsk, Russia.[3]
Available versions
The current release of BioUML is version 2023.3 released in September 2023.[4]
BioUML Server offers access to data and analysis methods installed server-side for BioUML clients (workbench and web edition) over the Internet.
BioUML Workbench is a Java application that can work standalone or as "thick client" for the BioUML server edition.
BioUML Web Edition is a web browser based "thin client" for the BioUML server edition and provides most of the functionality of the BioUML workbench. It utilizes AJAX and HTML5 <canvas> technology for interactive data editing and visual modeling.
Application and usage
BioUML was used for visualization of data from Cyclonet's integrated database on cell cycle regulation and carcinogenesis in 2007[5]
Next-generation sequencing (NGS) and other high throughput methods create huge data sets (called "big data") in the region of 100 terabytes upwards. BioUML can disseminate, analyze and produce visualizations and simulations. It allows for parameter fitting and supports several analysis techniques required to deal with large amounts of raw data. The management of large volumes of data, commonly referred to as 'big data,' poses technical challenges in terms of storage, delivery, and sharing due to the collaborative nature of research across multiple institutions. A typical genome data set might contain 500 terabytes of data which may need to be shared, often internationally using Internet2 technology. Proprietary data compression mechanisms have been created (by Valex LLC) for the NCBI Short Read Archive Project[6] that allow for the delivery of raw research data at speeds of up to 40 Gbit/s. To provide a full solution for such collaborative research, the makers of BioUML have developed a new hardware/software system in partnership with Valex LLC. This version of BioUML is called Bio datomics.
References
- ↑ Kolpakov, Fedor; Akberdin, Ilya; Kashapov, Timur; Kiselev, llya; Kolmykov, Semyon; Kondrakhin, Yury; Kutumova, Elena; Mandrik, Nikita et al. (2019-07-02). "BioUML: an integrated environment for systems biology and collaborative analysis of biomedical data". Nucleic Acids Research 47 (W1): W225–W233. doi:10.1093/nar/gkz440. ISSN 0305-1048. PMID 31131402.
- ↑ 2.0 2.1 Kolpakov, Fedor; Akberdin, Ilya; Kiselev, Ilya; Kolmykov, Semyon; Kondrakhin, Yury; Kulyashov, Mikhail; Kutumova, Elena; Pintus, Sergey et al. (2022-05-10). "BioUML - towards a universal research platform". Nucleic Acids Research 50 (W1): W124–W131. doi:10.1093/nar/gkac286. PMC 9252820. https://academic.oup.com/nar/article/50/W1/W124/6583230.
- ↑ 3.0 3.1 Kolpakov, Fedor A (2002). "BioUML - framework for visual modeling and simulation of biological systems". https://www.researchgate.net/publication/255620732.
- ↑ "BioUML development history - BioUML platform" (in en). https://wiki.biouml.org/index.php/BioUML_development_history.
- ↑ Kolpakov, F; Poroikov, V; Sharipov, R; Kondrakhin, Y; Zakharov, A; Lagunin, A; Milanesi, L; Kel, A (2007). "CYCLONET--an integrated database on cell cycle regulation and carcinogenesis". Nucleic Acids Res. 35 (Database issue): D550–6. doi:10.1093/nar/gkl912. PMID 17202170.
- ↑ "Galter Health Sciences Library & Learning Center | News". http://www.galter.northwestern.edu/news/index.cfm/2009/9/15/NCBI-Short-Read-Archive-SRA-of-NextGeneration-Sequencing-Data.
External links
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