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NGS-CN
Next Generation Sequencing Competence Network
Welcome to WordPress. This is your first post. Edit or delete it, then start writing!
Welcome to WordPress. This is your first post. Edit or delete it, then start writing!
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The Next Generation Sequencing Competence Network (NGS-CN) is a Deutsche Forschungsgemeinschaft (DFG) funded initiative bringing together four NGS Competence Centers (NGS-CCs):
- the Competence Center for Genomic Analysis Kiel (CCGA) at the University of Kiel;
- the Dresden-Concept Genome Center (DcGC) at the Technical University Dresden;
- the NGS Competence Center Tübingen (NCCT) at the University of Tübingen;
- the West German Genome Center (WGGC), a collaboration led by the University of Cologne that also involves the Universities of Bonn and Düsseldorf.
The NGS-CN has a main administrative body called the Central Coordination Unit (CCU) represented by Prof. Joachim Schultze (speaker), and Dr. Tal Pecht (officer). The CCU is tasked with harmonizing and facilitating consulting and networking thought the NGS-CN in the areas of Bioinformatics, Genomics, and High Throughput Computing. The CCU office is located at the Life & Medical Sciences Institute (LIMES) of the University of Bonn.
Next Generation Sequencing (NGS) has emerged as a key technology in the life and medical sciences, which continuously evolves and improves. The NGS competence network (NGS-CN) approach to harmonizing NGS services across state-of-the-art national core facilities is the best strategy in terms of developing, advancing, and providing this essential technology. By following the example of similar networks world-wide, the NGS-CN pursues the goal to increase the international visibility of the participating institutes and bring a strong collaborative network structure to advance Germany’s genome research scientific landscape.
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Special Interest Groups (SIGs)
Experts and members from all partner sites of the NGS-CN have constituted 5 Special Interest Groups (SIGs), working groups focusing on topics relevant for operational and strategic decisions.
SIG-1 is a communication pillar within NGS-CN. In this place sci-outreach projects grow strong to be shared with everyone interested in genomic life science research.
We offer space for early career researchers where they could advance in chosen career paths or/and identify new ones. Our events serve as a networking hub for newcomers and senior scientists to meet&greet, develop ideas together and find new colleagues!
The SIG-1 team is behind the NGS-CN website as well as multiple social media channels to deliver crisp clear info about the recent activity within our network and to communicate with you – feel free to reach out!
Connect via: LinkedIn, Twitter, NGS-CN website, WGGC website.
Are you looking for collaborators in a specific field of research? Visit our Profiles website and find the right expert based on the expertise you need.
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Knowledge-rich scientific events are coordinated by sci-officers & NGS-CN volunteers – we’re happy to have an engaging network and co-create!
We meet at online events such as NGS-CN webinars and NGS-CN Schools.
We focus on exchange and network on site – such recurrent meetings as Bio-Data Science Evenings in Düsseldorf and Data Analysis Cafe in Dresden are emerging at our selected production sites. More to come – we enjoy chatting about science and share their know-hows!
Contact: iuliia.novoselova@hhu.de
SIG-2 advances the NGS-CN scientific collaborations & makes the network visible on the political arena.
Long term strategies include supporting large sequencing projects outside of the specific DFG NGS calls and acquisition of third-party funds. The NGS-CN is for example a partner of the European Reference Genome Atlas (ERGA) pilot projects.
A special focus is on information technologies and artificial intelligence, with the NGS-CN actively involved with the breakthrough Swar Learning technology.
Future strategic activities will also include biobanks (e.g. in the area of the Leibniz Institutes) and partnerships with industry.
Contact: contact.ccu@uni-bonn.de
SIG-3 implements the standardization of genomic applications proposed at the NGS-CN. Our overall aim is to ensure the quality and reproducibility of generated NGS data regardless of the production site.
The group promotes innovative solutions, proposes support for developing and evaluating new technologies, and organises the exchange of expertise and transfer of know-hows.
The group also promotes the usage of laboratory management systems to control and harmonise collaborating production, and the standardization of project consulting for most popular NGS applications.
Contact: nicolas.casadei@med.uni-tuebingen.de
SIG 4 advises on, harmonizes, and consolidates analysis pipelines to be used for automated NGS data analysis within the NGS-CN. SIG 4 thereby pursues two main goals.
It aims to establish common measures and platforms for quality control of primary, secondary, and tertiary NGS data analysis.
It serves as an exchange platform for data analysis ideas and concepts, as well as pipelines, methods, and tool developments..
Contact: johannes.koester@uni-due.de
The SIG-5 team develops strategies towards harmonized data management, protection and privacy policies within NGS-CN.
Their spectrum of work includes but not limited to:
Laboratory information management system (LIMS) to track project processing in the laboratory
High data security and data privacy standards development
Implementation of data privacy regulations according to the EU-GDPR
Contact: susanne.motameny@uni-koeln.de
The NGS-CN was among the leading force in the German research effort to understand and fight the COVID-19 pandemic. In collaboration with other excellent research institutes, the DeCOI – German COVID19 OMICS initiative was established. Read more at the DeCOI page.
Connect with a network of experts in NGS Technologies and applications. Our experts work on a wide range of topics and with different organisms, from bacteria to plants to humans. Go to profiles
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Next Generation Sequencing (NGS) services can be obtained through the NGS-CN. The following are a few options: Apply for NGS sequencing within the DFG Call. The clls are announced by the DFG on their website (www.dgf.de). Apply to the DFG in a normal application process and also engage with the NGS centers upfront for collaboration on sequencing (www.dfg.de and www.ngs-kn.de).
The third option, of course, is if you have funding from any other source, you also can us the NGS centers. Please contact the CCU (contact.ccu@uni-bonn.de) or the NGS-CCs directly (ngs-kn.de).
For all of these options, we can provide you contact for consulting and interaction with the NGS centers.(contact.ccu@uni-bonn.de)
Central Coordination Unit (CCU)
The NGS-CN has a main administrative body called the Central Coordination Unit (CCU) represented by Prof. Joachim Schultze (speaker), and Dr. Tal Pecht (CCU office representative). The CCU is tasked with harmonizing and facilitating consulting and networking thought the NGS-CN in the areas of Bioinformatics, Genomics, and High Throughput Computing. The Central Coordination Unit (CCU) represented by Prof. Joachim Schultze, and Dr. Tal Pecht.
Prof. Dr. med. Joachim L. Schultze
CCU speaker of the Next Generation Sequencing
Competence Network (NGS-CN)
University of Bonn
Life & Medical Sciences Institute (LIMES) – I206
Genomics & Immunoregulation
Carl-Troll-Straße 31
53115 Bonn
Tel.: +49 / (0)2 28 / 73 – 6 27 87 (Secretary)
Fax: +49 / (0)2 28 / 73 – 6 26 46
office.immunogenomics(at)uni-bonn.de
Competence Network (NGS-CN)
University of Bonn
Life & Medical Sciences Institute (LIMES) – I206
Genomics & Immunoregulation
Carl-Troll-Straße 31
53115 Bonn
Tel.: +49 / (0)2 28 / 73 – 6 27 87 (Secretary)
Fax: +49 / (0)2 28 / 73 – 6 26 46
office.immunogenomics(at)uni-bonn.de
Dr. Tal Pecht
CCU office
Sequencing Competence Network (NGS-CN)
Das Life & Medical Sciences-Institute (LIMES)
Carl-Troll-Str. 31
53115 Bonn
talpecht(at)uni-bonn.de
+49/ (0)2 28 / 43302707
Sequencing Competence Network (NGS-CN)
Das Life & Medical Sciences-Institute (LIMES)
Carl-Troll-Str. 31
53115 Bonn
talpecht(at)uni-bonn.de
+49/ (0)2 28 / 43302707
