lxPostman: Web-Based Application for Post-Processing LipidXplorer Output Files
lxPostman is a web-based application designed to facilitate the post-processing of output files generated by LipidXplorer, a software tool for shotgun lipidomics. The application provides a user-friendly interface for quality control, quantitation, and merging of results from multiple runs or samples.
Key Features:
- Quality control : lxPostman allows users to evaluate the quality of their data by assessing metrics such as signal-to-noise ratio, peak intensity, and retention time.
- Quantitation : The application enables users to quantify lipids based on peak areas, heights, or intensities, and to normalize results using various methods (e.g., TIC normalization).
- Merging results : lxPostman allows users to combine results from multiple runs or samples, creating a single output file that contains all the data.
- Interactive visualization : The application provides an interactive interface for visualizing lipid profiles, allowing users to explore and compare results in detail.
Benefits:
- Improved data quality : By providing tools for quality control and quantitation, lxPostman helps ensure that lipidomics data is accurate and reliable.
- Increased efficiency : The application streamlines the process of post-processing LipidXplorer output files, saving time and reducing manual effort.
- Enhanced collaboration : lxPostman allows users to share their results with colleagues or collaborators, facilitating collaborative research.
Technical Details:
- Input data : lxPostman accepts output files generated by LipidXplorer in various formats (e.g., CSV, Excel).
- Output data : The application generates output files that contain quality-controlled and quantified lipidomics data, which can be used for further analysis or exported to other software tools.
- Integration with LipidXplorer : lxPostman is designed to work seamlessly with LipidXplorer, allowing users to easily transfer results between the two applications.
Availability:
lxPostman is available as a web-based application on the LIFS Tools website. Users can access the tool by creating an account on the website.
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