MultiABLER

MultiABLER processes LC-MS/MS-derived metabolomic and lipidomic datasets to standardize preprocessing and enable integrated multi-omic analyses, including data produced by the Multi-ABLE sample extraction method.

Key Features:

• Unified Processing Pipeline: Comprehensive unified pipeline tailored for metabolomic and lipidomic datasets to prepare data for joint downstream analyses.
• Multi-ABLE Compatibility: Compatible with the Multi-ABLE sample extraction method that generates proteomic, untargeted metabolomic, and lipidomic data from minimal tissue samples.
• R Implementation: Implemented in R for computational processing of LC-MS/MS-derived datasets.
• Upstream Processing Focus: Focuses on preprocessing metabolomic and lipidomic data rather than proteomics-centric workflows.

Scientific Applications:

• Integrated multi-omic studies: Enables combined analysis of metabolomic and lipidomic data to support multi-dimensional biological investigations.
• Disease mechanism and therapeutic response profiling: Supports studies of disease mechanisms and therapeutic responses through molecular-level metabolite and lipid profiling.
• Domain-specific research: Applicable to oncology, pharmacology, and personalized medicine for detailed molecular profiling.

Methodology:

Data acquisition uses liquid chromatography-tandem mass spectrometry (LC-MS/MS); an R-based pipeline performs standardization and preprocessing of metabolomic and lipidomic datasets to enable integration with proteomics.