HastaLaVista
HastaLaVista provides statistical analysis and visualization for Nuclear Magnetic Resonance (NMR) untargeted metabolic profiling data to support discovery of metabolic perturbations.
Key Features:
- Integration of R and JavaScript: Combines R for statistical analyses with JavaScript for interactive visualizations.
- NMR-based untargeted spectral analysis: Supports processing and analysis of NMR untargeted metabolic profiling spectral datasets.
- Iterative analysis support: Enables iterative analysis workflows to investigate system perturbations.
- Enhanced data interoperability: Promotes interoperability for sharing and validation of metabolic profiling data.
- Extensible architecture: Architecture allows extension to interface with other scripting languages such as Python and to adapt to various types of data analyses.
Scientific Applications:
- Untargeted metabolic profiling: Facilitates untargeted spectral analysis to identify metabolic signatures and pathway perturbations from NMR data.
- Study of biological perturbations: Applied to investigate metabolic changes due to interventions or disease states, exemplified by analyses of bariatric surgery effects on rat metabolism.
Methodology:
Uses R for comprehensive statistical analyses and JavaScript for interactive visualizations.
Topics
Details
- License:
- MIT
- Tool Type:
- web application
- Programming Languages:
- JavaScript, Python
- Added:
- 1/14/2020
- Last Updated:
- 11/24/2024
Operations
Publications
Wist J. HastaLaVista, a web-based user interface for NMR-based untargeted metabolic profiling analysis in biomedical sciences: towards a new publication standard. Journal of Cheminformatics. 2019;11(1). doi:10.1186/s13321-019-0399-7. PMID:33430999. PMCID:PMC6896291.