Lermyte, Frederik (2024)
The need for open and FAIR data in top‐down proteomics.
In: Proteomics : Proteomics and Systems Biology, 2024, 24 (3-4)
doi: 10.26083/tuprints-00027108
Artikel, Zweitveröffentlichung, Verlagsversion
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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: | Zweitveröffentlichung |
| Titel: | The need for open and FAIR data in top‐down proteomics |
| Sprache: | Englisch |
| Publikationsjahr: | 17 Juni 2024 |
| Ort: | Darmstadt |
| Publikationsdatum der Erstveröffentlichung: | Februar 2024 |
| Ort der Erstveröffentlichung: | 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: | 10.26083/tuprints-00027108 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/27108 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichung DeepGreen |
| 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 |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-271087 |
| 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: | 17 Jun 2024 12:43 |
| Letzte Änderung: | 18 Jun 2024 05:40 |
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| Suche nach Titel in: | TUfind oder in Google |
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