MSight

MSight transforms liquid chromatography-mass spectrometry (LC-MS) datasets into image representations to enable visualization, quality control, experimental monitoring, and comparative analysis of proteomics data.

Key Features:

• Image construction and manipulation: Transforms raw LC-MS spectral data into detailed images and provides image-manipulation functions for focused inspection.
• Comparative analysis of MS images: Enables systematic comparison of LC-MS images to detect differential signals across datasets.
• Quality control and experimental monitoring: Processes LC-MS datasets as images to support quality-control checks and monitoring of experimental runs.
• Knowledge extraction from proteomic images: Uses visualization of large-scale MS images to extract patterns and generate hypotheses from proteomic datasets.

Scientific Applications:

• Proteomic differential analysis: Supports differential analysis of proteomic LC-MS data analogous to comparisons previously achieved with two-dimensional gels.
• Pattern discovery in LC-MS data: Reveals patterns and differences across high-throughput LC-MS datasets that may be missed when examining individual spectra.
• Experimental quality assessment: Facilitates assessment and monitoring of LC-MS experimental quality over time and across runs.

Methodology:

Transformation of LC-MS data into visual image formats, processing LC-MS datasets as images, and interactive navigation including zooming into specific regions of interest within those images.