Data di Pubblicazione:
2020
Citazione:
liputils: a python module to manage individual fatty acid moieties from complex lipids / S. Manzini, M. Busnelli, A. Colombo, M. Kiamehr, G. Chiesa. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 10:1(2020 Aug 07), pp. 13368.1-13368.9.
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 lipidomic 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 three examples of real- world data processing with liputils, as well as a detailed protocol on how to readily process an existing dataset that can be followed with basic informatics skills.
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
Python; Lipidomics; omics, mass spectrometry; bioinformatics
Elenco autori:
S. Manzini, M. Busnelli, A. Colombo, M. Kiamehr, G. Chiesa
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