The software lxPostman is a tool based on R and the Shiny framework, that is used in lipidomics research for post-processing and filtering identified molecules.
LxPostman is designed to be used in tandem with LipidXplorer which handles molecule identification and first filtering steps, and outputs data files with MS1 and MS2 precursor and fragmentation information. With lxPostman, the post-processing of data involves a guided process that asks the user for input choices and required files to create a processed data sheet. The software performs several functions including quantification on internal standards, filtering of noise via blank intensities, filtering via MS2 fragmentation ratio rules, normalization on external values, filtering via data completion, and normalization of the nomenclature via Goslin.

Specifically, lxPostman applies filters to the data to ensure that the data is reliable for further analyses. It uses blank intensities to filter out noise, as well as MS2 fragmentation ratio rules to remove any non-specific signals. It also applies normalization to the data, which involves adjusting the data so that it is comparable across different samples. This is done by normalizing to external values. Additionally, lxPostman performs normalization of the nomenclature via Goslin, which is important for ensuring that the data is standardized and can be compared across different experiments.

While lxPostman is primarily designed for lipidomics data, it can be used for other types of metabolomics data as well, although some parts of the software such as the translation to a unified nomenclature may not be applicable. The resulting data from lxPostman can then be used for downstream analysis.

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