Research output: Contribution to journal › Article › peer-review
BioUML—towards a universal research platform. / Колпаков, Федор; Акбердин, Илья Ринатович; Киселев, Илья et al.
In: Nucleic Acids Research, Vol. 50, No. W1, 05.07.2022, p. W124-W131.Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - BioUML—towards a universal research platform
AU - Колпаков, Федор
AU - Акбердин, Илья Ринатович
AU - Киселев, Илья
AU - Колмыков, Семён Константинович
AU - Кондрахин, Юрий
AU - Куляшов, Михаил Андреевич
AU - Кутумова, Елена
AU - Пинтус, Сергей Сергеевич
AU - Рябова, Анна
AU - Шарипов, Руслан Нильевич
AU - Евшин, Иван
AU - Жатченко, Сергей
AU - Кель, Александр
N1 - Russian Science Foundation [19-72-20114 to F.K., I.K., in part, part of work related to architectural development of BioUML and development of platform for the Super charm-tau factory]; Sirius University [part of work, related to biological use cases in BioUML]. Funding for open access charge: Russian Science Foundation [19-72-20114]. Publisher Copyright: © 2022 The Author(s). Published by Oxford University Press on behalf of Nucleic Acids Research.
PY - 2022/7/5
Y1 - 2022/7/5
N2 - BioUML (https://www.biouml.org) - is a web-based integrated platform for systems biology and data analysis. It supports visual modelling and construction of hierarchical biological models that allow us to construct the most complex modular models of blood pressure regulation, skeletal muscle metabolism, COVID-19 epidemiology. BioUML has been integrated with git repositories where users can store their models and other data. We have also expanded the capabilities of BioUML for data analysis and visualization of biomedical data: (i) any programs and Jupyter kernels can be plugged into the BioUML platform using Docker technology; (ii) BioUML is integrated with the Galaxy and Galaxy Tool Shed; (iii) BioUML provides two-way integration with R and Python (Jupyter notebooks): scripts can be executed on the BioUML web pages, and BioUML functions can be called from scripts; (iv) using plug-in architecture, specialized viewers and editors can be added. For example, powerful genome browsers as well as viewers for molecular 3D structure are integrated in this way; (v) BioUML supports data analyses using workflows (own format, Galaxy, CWL, BPMN, nextFlow). Using these capabilities, we have initiated a new branch of the BioUML development - u-science - a universal scientific platform that can be configured for specific research requirements.
AB - BioUML (https://www.biouml.org) - is a web-based integrated platform for systems biology and data analysis. It supports visual modelling and construction of hierarchical biological models that allow us to construct the most complex modular models of blood pressure regulation, skeletal muscle metabolism, COVID-19 epidemiology. BioUML has been integrated with git repositories where users can store their models and other data. We have also expanded the capabilities of BioUML for data analysis and visualization of biomedical data: (i) any programs and Jupyter kernels can be plugged into the BioUML platform using Docker technology; (ii) BioUML is integrated with the Galaxy and Galaxy Tool Shed; (iii) BioUML provides two-way integration with R and Python (Jupyter notebooks): scripts can be executed on the BioUML web pages, and BioUML functions can be called from scripts; (iv) using plug-in architecture, specialized viewers and editors can be added. For example, powerful genome browsers as well as viewers for molecular 3D structure are integrated in this way; (v) BioUML supports data analyses using workflows (own format, Galaxy, CWL, BPMN, nextFlow). Using these capabilities, we have initiated a new branch of the BioUML development - u-science - a universal scientific platform that can be configured for specific research requirements.
UR - http://www.scopus.com/inward/record.url?scp=85130275098&partnerID=8YFLogxK
UR - https://pubmed.ncbi.nlm.nih.gov/35536253/
UR - https://www.mendeley.com/catalogue/bfc21bb8-1903-3dcd-9462-ca7c3d87a2c0/
U2 - 10.1093/nar/gkac286
DO - 10.1093/nar/gkac286
M3 - Article
C2 - 35536253
VL - 50
SP - W124-W131
JO - Nucleic Acids Research
JF - Nucleic Acids Research
SN - 0305-1048
IS - W1
ER -
ID: 36188989