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The need for open and FAIR data in top‐down proteomics

Lermyte, Frederik (2024)
The need for open and FAIR data in top‐down proteomics.
In: Proteomics : Proteomics and Systems Biology, 24 (3-4)
doi: 10.1002/pmic.202300354
Artikel, Bibliographie

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Kurzbeschreibung (Abstract)

In recent years, there has been a tremendous evolution in the high‐throughput, tandem mass spectrometry‐based analysis of intact proteins, also known as top‐down proteomics (TDP). Both hardware and software have developed to the point that the technique has largely entered the mainstream, and large‐scale, ambitious, multi‐laboratory initiatives have started to make their appearance in the literature. For this, however, more convenient and robust data sharing and reuse will be required. Walzer et al. have created TopDownApp, a customisable, open platform for visualisation and analysis of TDP data, which they hope will be a step in this direction. As they point out, other benefits of such data sharing and interoperability would include reanalysis of published datasets, as well as the prospect of using large amounts of data to train machine learning algorithms. In time, this work could prove to be a valuable resource in the move towards a future of greater TDP data findability, accessibility, interoperability and reusability.

Typ des Eintrags: Artikel
Erschienen: 2024
Autor(en): Lermyte, Frederik
Art des Eintrags: Bibliographie
Titel: The need for open and FAIR data in top‐down proteomics
Sprache: Englisch
Publikationsjahr: Februar 2024
Ort: Weinheim
Verlag: Wiley-VCH
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Proteomics : Proteomics and Systems Biology
Jahrgang/Volume einer Zeitschrift: 24
(Heft-)Nummer: 3-4
Kollation: 3 Seiten
DOI: 10.1002/pmic.202300354
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Kurzbeschreibung (Abstract):

In recent years, there has been a tremendous evolution in the high‐throughput, tandem mass spectrometry‐based analysis of intact proteins, also known as top‐down proteomics (TDP). Both hardware and software have developed to the point that the technique has largely entered the mainstream, and large‐scale, ambitious, multi‐laboratory initiatives have started to make their appearance in the literature. For this, however, more convenient and robust data sharing and reuse will be required. Walzer et al. have created TopDownApp, a customisable, open platform for visualisation and analysis of TDP data, which they hope will be a step in this direction. As they point out, other benefits of such data sharing and interoperability would include reanalysis of published datasets, as well as the prospect of using large amounts of data to train machine learning algorithms. In time, this work could prove to be a valuable resource in the move towards a future of greater TDP data findability, accessibility, interoperability and reusability.

Freie Schlagworte: FAIR data, mass spectrometry, open science, top‐down proteomics
ID-Nummer: Artikel-ID: 2300354
Zusätzliche Informationen:

Special Issue: Top‐down proteomics and proteoforms

Sachgruppe der Dewey Dezimalklassifikatin (DDC): 500 Naturwissenschaften und Mathematik > 540 Chemie
500 Naturwissenschaften und Mathematik > 570 Biowissenschaften, Biologie
Fachbereich(e)/-gebiet(e): 07 Fachbereich Chemie
07 Fachbereich Chemie > Clemens-Schöpf-Institut > Fachgebiet Biochemie
07 Fachbereich Chemie > Clemens-Schöpf-Institut
Hinterlegungsdatum: 18 Jun 2024 05:41
Letzte Änderung: 18 Jun 2024 08:30
PPN: 519212479
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