BioUML-towards a universal research platform.
Fedor KolpakovIlya R AkberdinIlya KiselevSemyon KolmykovYury KondrakhinMikhail KulyashovElena KutumovaSergey PintusAnna RyabovaRuslan N SharipovIvan YevshinSergey ZhatchenkoAlexander KelPublished in: Nucleic acids research (2022)
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.
Keyphrases
- data analysis
- high throughput
- skeletal muscle
- blood pressure
- electronic health record
- public health
- coronavirus disease
- sars cov
- big data
- insulin resistance
- machine learning
- type diabetes
- risk factors
- metabolic syndrome
- genome wide
- hypertensive patients
- single molecule
- single cell
- deep learning
- blood glucose
- high density