BEW
BEW facilitates management, exchange, and computational analysis of experimental biofilm data using an XML-based interchange format, integration with the R statistical package, and connectivity to the BiofOmics database Web services.
Key Features:
- XML-based interchange format: Encodes biofilm experimental data in a novel XML schema to enable systematic, harmonized, and large-scale data computation and exchange.
- R integration: Integrates with the R statistical package to support robust data analysis and computation.
- BiofOmics connectivity: Connects to the BiofOmics database Web services to enable experiment deposition and data exchange.
- Excel import: Imports experimental data from Excel spreadsheets for downstream analysis.
- Experiment creation and management: Supports creation and management of new experiments and associated metadata.
- Analytical computation: Performs computation of analytical results on biofilm experimental datasets.
- Web-publishable report generation: Constructs highly customizable, web-publishable reports on demand.
- Comparative analysis: Enables comparison of experimental outcomes across different laboratories.
- Implementation framework: Developed using AIBench, an open-source Java desktop application framework.
Scientific Applications:
- Cross-laboratory comparison: Facilitates comparative analysis of biofilm experimental outcomes across laboratories to harmonize results.
- Data deposition and sharing: Supports deposition and public sharing of biofilm experiments via BiofOmics Web services.
- Large-scale computation: Enables systematic large-scale computation of biofilm experimental data for microbiological and clinical studies.
- Report dissemination: Produces web-publishable reports for dissemination of experimental findings.
Methodology:
Implemented on the AIBench Java desktop framework; integrates the R statistical package; employs a novel XML-based interchange format; connects to BiofOmics database Web services; imports data from Excel spreadsheets; computes analytical results; generates web-publishable reports; supports comparative analyses across laboratories.
Topics
Details
- Tool Type:
- desktop application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 8/3/2017
- Last Updated:
- 12/10/2018
Operations
Publications
Pérez-Rodríguez G, et al. Enabling systematic, harmonised and large-scale biofilms data computation: the Biofilms Experiment Workbench. Comput Methods Programs Biomed. 2015; 118:309-21. doi: 10.1016/j.cmpb.2014.12.005