Data di Pubblicazione:
2020
Citazione:
Development of liputils, a module to extract fatty acid moieties from lipidomic analytes / A. Colombo, M. Busnelli, M. Kiamehr, G. Chiesa, S. Manzini. - In: GIORNALE ITALIANO DELL'ARTERIOSCLEROSI. - ISSN 2240-4821. - (2020 Dec), pp. S15-S15. ((Intervento presentato al 34. convegno Congresso Nazionale SISA tenutosi a virtual edition nel 2020.
Abstract:
Lipidomic analyses address the problem of characterizing the lipid components of given cells, tissues and organisms by means of chromatographic separations coupled to high-resolution, tandem mass spectrometry analyses. A number of software tools have been developed to help in the daunting task of mass spectrometry signal processing and cleaning, peak analysis and compound identification, and a typical finished lipidomic dataset contains hundreds to thousands of individual molecular lipid species. To provide researchers without a specific technical expertise in mass spectrometry the possibility of broadening the exploration of lipid- omic datasets, we have developed liputils, a Python module that specializes in the extraction of fatty acid moieties from individual molecular lipids. There is no prerequisite data format, as liputils extracts residues from RefMet-compliant textual identifiers and from annotations of other commercially available services. We provide an overview of liputils capabilities and three examples of real-world data processing with this newly developed module.
Tipologia IRIS:
01 - Articolo su periodico
Elenco autori:
A. Colombo, M. Busnelli, M. Kiamehr, G. Chiesa, S. Manzini
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