BioUML: an integrated environment for systems biology and collaborative analysis of biomedical data

Author:

Kolpakov Fedor12,Akberdin Ilya13ORCID,Kashapov Timur1,Kiselev llya12,Kolmykov Semyon124,Kondrakhin Yury12,Kutumova Elena12,Mandrik Nikita12,Pintus Sergey12,Ryabova Anna12,Sharipov Ruslan13ORCID,Yevshin Ivan12,Kel Alexander156

Affiliation:

1. BIOSOFT.RU, LLC, Novosibirsk 630090, Russian Federation

2. Institute of Computational Technologies SB RAS, Novosibirsk 630090, Russian Federation

3. Novosibirsk State University, Novosibirsk 630090, Russian Federation

4. Institute of Cytology and Genetics SB RAS, Novosibirsk 630090, Russian Federation

5. geneXplain GmbH, 38302 Wolfenbüttel, Germany

6. Institute of Chemical Biology and Fundamental Medicine, SB RAS, Novosibirsk 630090, Russian Federation

Abstract

AbstractBioUML (homepage: http://www.biouml.org, main public server: https://ict.biouml.org) is a web-based integrated environment (platform) for systems biology and the analysis of biomedical data generated by omics technologies. The BioUML vision is to provide a computational platform to build virtual cell, virtual physiological human and virtual patient. BioUML spans a comprehensive range of capabilities, including access to biological databases, powerful tools for systems biology (visual modelling, simulation, parameters fitting and analyses), a genome browser, scripting (R, JavaScript) and a workflow engine. Due to integration with the Galaxy platform and R/Bioconductor, BioUML provides powerful possibilities for the analyses of omics data. The plug-in-based architecture allows the user to add new functionalities using plug-ins. To facilitate a user focus on a particular task or database, we have developed several predefined perspectives that display only those web interface elements that are needed for a specific task. To support collaborative work on scientific projects, there is a central authentication and authorization system (https://bio-store.org). The diagram editor enables several remote users to simultaneously edit diagrams.

Funder

Russian Science Foundation

Publisher

Oxford University Press (OUP)

Subject

Genetics

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