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.
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.
|Titolo:||liputils: a python module to manage individual fatty acid moieties from complex lipids|
MANZINI, STEFANO (Co-primo) [Software] (Corresponding)
BUSNELLI, MARCO (Co-primo) [Writing – Original Draft Preparation]
COLOMBO, ALICE [Writing – Review & Editing]
CHIESA, GIULIA MARIA (Ultimo) [Funding Acquisition] (Corresponding)
|Parole Chiave:||Python; Lipidomics; omics, mass spectrometry; bioinformatics|
|Settore Scientifico Disciplinare:||Settore BIO/14 - Farmacologia|
Settore BIO/16 - Anatomia Umana
Settore BIO/17 - Istologia
|Progetto:||Personalized diagnostics and treatment of high risk coronary artery disease patients|
|Data di pubblicazione:||7-ago-2020|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1038/s41598-020-70259-9|
|Appare nelle tipologie:||01 - Articolo su periodico|