notame

notame implements an analytical workflow for non-targeted liquid chromatography-mass spectrometry metabolic profiling, encompassing data preprocessing, quality control, statistical analysis, and visualization of metabolomics data.

Key Features:

• Data Preprocessing: Provides tabular data preprocessing for untargeted LC-MS metabolomics research.
• Quality Control: Includes quality control functionality with quality control visualizations for metabolomics data.
• Statistical Analysis: Supports uni- and multivariate analysis of metabolic profiling data.
• Visualization: Generates feature-wise visualizations and results visualizations for metabolomics research.

Scientific Applications:

• Nutritional Metabolomics: Enables analysis of nutritional metabolomics data through comprehensive statistical methods and protocols.
• Non-Targeted Metabolic Profiling: Facilitates discovery of robust and biologically significant metabolic findings from LC-MS analysis.
• Compound Identification and Interpretation: Supports identification and interpretation of compounds that emerge as interesting from metabolic profiling studies.

Methodology:

The workflow involves steps to produce, preprocess, and statistically analyze metabolomics data, followed by identification and interpretation of compounds of interest. Raw data preprocessing and biological context functionality such as pathway analysis are not included.