دورية أكاديمية
Protocol for visualizing complex volatile metabolomics data in clinical setups using EDaViS software.
| العنوان: | Protocol for visualizing complex volatile metabolomics data in clinical setups using EDaViS software. |
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| المؤلفون: | Ruehrmund L; Rostock Medical Breath Research Analytics and Technologies (RoMBAT), Dept. of Anaesthesiology, Intensive Care Medicine and Pain Therapy, Rostock University Medical Centre, 18057 Rostock, Germany., Fuchs P; Rostock Medical Breath Research Analytics and Technologies (RoMBAT), Dept. of Anaesthesiology, Intensive Care Medicine and Pain Therapy, Rostock University Medical Centre, 18057 Rostock, Germany. Electronic address: patricia.fuchs@uni-rostock.de., Bartels J; Rostock Medical Breath Research Analytics and Technologies (RoMBAT), Dept. of Anaesthesiology, Intensive Care Medicine and Pain Therapy, Rostock University Medical Centre, 18057 Rostock, Germany., Remy R; Rostock Medical Breath Research Analytics and Technologies (RoMBAT), Dept. of Anaesthesiology, Intensive Care Medicine and Pain Therapy, Rostock University Medical Centre, 18057 Rostock, Germany., Klemenz AC; Rostock Medical Breath Research Analytics and Technologies (RoMBAT), Dept. of Anaesthesiology, Intensive Care Medicine and Pain Therapy, Rostock University Medical Centre, 18057 Rostock, Germany., Kemnitz N; Rostock Medical Breath Research Analytics and Technologies (RoMBAT), Dept. of Anaesthesiology, Intensive Care Medicine and Pain Therapy, Rostock University Medical Centre, 18057 Rostock, Germany., Trefz P; Rostock Medical Breath Research Analytics and Technologies (RoMBAT), Dept. of Anaesthesiology, Intensive Care Medicine and Pain Therapy, Rostock University Medical Centre, 18057 Rostock, Germany., Sukul P; Rostock Medical Breath Research Analytics and Technologies (RoMBAT), Dept. of Anaesthesiology, Intensive Care Medicine and Pain Therapy, Rostock University Medical Centre, 18057 Rostock, Germany., Miekisch W; Rostock Medical Breath Research Analytics and Technologies (RoMBAT), Dept. of Anaesthesiology, Intensive Care Medicine and Pain Therapy, Rostock University Medical Centre, 18057 Rostock, Germany., Schubert JK; Rostock Medical Breath Research Analytics and Technologies (RoMBAT), Dept. of Anaesthesiology, Intensive Care Medicine and Pain Therapy, Rostock University Medical Centre, 18057 Rostock, Germany. |
| المصدر: | STAR protocols [STAR Protoc] 2024 Mar 15; Vol. 5 (1), pp. 102808. Date of Electronic Publication: 2024 Jan 01. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Cell Press Country of Publication: United States NLM ID: 101769501 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2666-1667 (Electronic) Linking ISSN: 26661667 NLM ISO Abbreviation: STAR Protoc Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: [Cambridge, MA] : Cell Press, [2020]- |
| مواضيع طبية MeSH: | Data Visualization* , Metabolomics*, Software |
| مستخلص: | Here, we present a protocol for using Early Data Visualization Script, a user-friendly software tool to visualize complex volatile metabolomics data in clinical setups. We describe steps for tabulating data and adjusting visual output to visualize complex time-resolved volatile omics data using simple charts and graphs. We then demonstrate possible modifications by detailing procedures for the adaptation of four basic functions. For complete details on the use and execution of this protocol, please refer to Sukul et al. (2022) 1 and Remy et al. (2022). 2 . Competing Interests: Declaration of interests The authors declare no competing interests. (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.) |
| فهرسة مساهمة: | Keywords: Computer sciences; Health Sciences; Metabolomics |
| تواريخ الأحداث: | Date Created: 20240103 Date Completed: 20240320 Latest Revision: 20240320 |
| رمز التحديث: | 20240320 |
| مُعرف محوري في PubMed: | PMC10797205 |
| DOI: | 10.1016/j.xpro.2023.102808 |
| PMID: | 38170664 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 2666-1667 |
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| DOI: | 10.1016/j.xpro.2023.102808 |