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.