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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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SARS-CoV-2 Sequenzdaten aus Deutschland

Authors: Robert Koch-Institut;

SARS-CoV-2 Sequenzdaten aus Deutschland

Abstract

Ein zentraler Bestandteil einer erfolgreichen Erregersurveillance ist das Verständnis der Verbreitung eines Erregers sowie seiner pathogenen Eigenschaften. Hierbei stellt das Wissen über das Erregergenom eine wichtige Informationsquelle dar. So erlaubt der Nachweis von Mutationen im Genom eines Erregers, Verwandtschaftsbeziehungen zu rekonstruieren, Übertragungswege aufzudecken und Resistenzen vorherzusagen. Die Integrierte Genomische Surveillance (IGS) von SARS-CoV-2 zielt darauf ab, die Verbreitung des Virus und insbesondere von besorgniserregenden Virusvarianten in der Bevölkerung zu überwachen sowie auftretende Veränderungen des Virus genau zu beobachten. Besondere Bedeutung kommt dabei der öffentlichen Bereitstellung der genomischen Daten zu, um Wissenschaftlern in Deutschland und weltweit die Möglichkeit zu eigenständigen Analysen zu eröffnen. Im Rahmen der Coronavirus-Surveillanceverordnung wurden bis zum 31.05.2023 SARS-CoV-2 Sequenzdaten aus ganz Deutschland über den Deutschen Elektronischen Sequenzdaten-Hub (DESH) an das RKI übermittelt. Mit Ablauf der Verordnung werden künftig Proben durch das IMSSC2 Labornetzwerk bereitgestellt und am RKI sequenziert, analysiert und hier bereitgestellt. Trotz reduzierter Probenanzahl, wird durch die sorgfältige Auswahl der beteiligten Labore ein repräsentativer Einblick in die Viruspopluation gesichert (Djin Ye Oh et al. 2022). Zusätzlich werden Sequenzen vom NRZ Coronaviren an der Charité beigetragen um das IMSSC2 Netzwerk zu ergänzen.

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Keywords

info:ddc/22/de//572.8, Genome, Genom, Base Sequence, RKI, info:ddc/22/eng//614.4, SARS-CoV-2, COVID-19, info:ddc/22/de//614.42, info:ddc/22/eng//614.42, info:ddc/22/eng//572.8, Offene Daten, Viral Sequences, Open Data, Germany, info:ddc/22/de//614.4, Deutschland, Basensequenz, Virussequenzen

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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