Project Details
NGS Competence Center Tübingen (NCCT)
Subject Area
General Genetics and Functional Genome Biology
Term
since 2018
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 407494995
With their strong focus on life sciences, the University of Tübingen and its partner institutions (Max Planck Institutes and German Centers for Health Research) have defined a strong need for next-generation sequencing (NGS) in biomedical research and clinical diagnostics early on. Tübingen has an ambitious research program that would be furthered by the availability of increased NGS capacity focusing on four areas: genomic health, understanding microbial communities, understanding model systems, and bioinformatics and data science. In all four research areas, Tübingen has excellent scientists and a high international visibility and will have an increasing demand of additional sequencing capacity. Its strength in bioinformatics and data science renders Tübingen unique within Germany. Over a dozen groups at the Center for Bioinformatics provide state-of-the-art algorithms for the analysis of high-throughput data. The Max Planck Institute for Intelligent Systems, the Department of Computer Science and the recently established Cyber Valley provide unparalleled expertise in machine learning that can be applied to large-scale sequencing data.Offering NGS technology to all scientists of the Tübingen Research Campus required the development of core service sequencing structures, data management and storage, and bioinformatics. All structures have been combined to form a comprehensive compact infrastructure: the Quantitative Biology Center (QBiC). QBiC not only integrates the NGS facilities (human genomics: c.ATG; Medical Microbiology: NGS-Microbial Genomics and Metagenomics [NGS-MGM]) but also combines them with other omics technologies (proteomics, metabolomics) and with a strong and comprehensive bioinformatics expertise. QBiC provides an established, scalable, and sustainable infrastructure that is perfectly suited for the service required for an NGS competence center. Through its integration in several national and international bioinformatics networks (e.g., de.NBI, ELIXIR-DE, GO FAIR) and an established IT infrastructure we can also ensure access to competent and scalable data storage, management and analysis expertise. NGS consulting, sequencing, data analysis and data integration into systemic scientific interrogations has already been offered for several hundreds of projects covering a large variety of taxa and of methodological sequencing approaches (RNAseq, targeted RNAseq, shRNAseq, ChIP-Seq, Methyl-Seq, mFAST-Seqs, exomes, genomes, shallow genomes, MIPs, panels, amplicon, 16S rDNA, shotgun metagenome). With the integrated NGS Competence Center Tübingen (NCCT) we aim to substantially increase multilevel data generation (genomes of all taxa, transcriptomics by RNAseq deep sequencing, epigenomics data) going hand in hand with proteomics and metabolomics data. QBiC will pioneer the concept of a Data Science Academy which will as well integrate national and international research networks as training of a new generation of data scientists.
DFG Programme
Major Instrumentation Initiatives
Major Instrumentation
High Throughput DNA Sequencer
IT Infrastructure (Compute Cluster)
IT Infrastructure (Data Storage)
Laboratory Information Management System (IT)
Long Read DNA Sequencer
System for Sample Preparation (Automated Nucleic Acid Ectraction)
System for Sample Preparation (Library Preparation System)
IT Infrastructure (Compute Cluster)
IT Infrastructure (Data Storage)
Laboratory Information Management System (IT)
Long Read DNA Sequencer
System for Sample Preparation (Automated Nucleic Acid Ectraction)
System for Sample Preparation (Library Preparation System)
Instrumentation Group
1060 Dilutoren, Pipettiergeräte, Probennehmer
3150 DNA-Sequenzer
7031 Labor-EDV-Systeme
7070 Arbeitsplatzrechner, Personalcomputer
7100 Arbeitsspeicher, RAM
3150 DNA-Sequenzer
7031 Labor-EDV-Systeme
7070 Arbeitsplatzrechner, Personalcomputer
7100 Arbeitsspeicher, RAM
Applicant Institution
Eberhard Karls Universität Tübingen
Leader
Professor Dr. Olaf Riess