Services
NGS solutions
The Core Unit provides access to Next Generation Sequencing (NGS) technologies for molecular high-throughput investigations of RNA and DNA:
- RNA-Sequencing (RNA-Seq for Gene Expression- and Trancriptome Analysis)
- mRNA-Sequencing with Oligo-dT-capture beads (Eukaryotes)
- total RNA-Sequencing with Random Primer
- total RNA-Sequencing after Depletion of Globin-mRNA or rRNA (Prokaryotes and Eukaryotes)
- small RNA-Sequencing, i.a. for bacterial transcriptomes
- Dual-RNA-Sequencing of Prokaryote- and Eukaryote-RNA (human, mouse)
- Single Cell-RNA-Sequencing (scRNA-Seq)
- 10x Genomics Droplet Microfluidics (up to 10.000 cells)
- FACS-sorted single cells analysis according to the SMART-Seq v4 Ultra Low Input protocol (1-300 cells)
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Whole-Genome-Sequencing (WGS), i.a. bacterial and viral genomes
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Whole-Exom-Sequencing (WES)
- Amplicon-Seq (targeted sequencing of PCR-Amplicons, e.g. with Phase-Shift-Primer)
- PCR amplification & metagenomic DNA-sequencing of the 16S rRNA gene for the classification of the microbiome
- PCR amplification & mRNA-sequencing for the analysis of the immune repertoire: IgG / IgM, as well as B-cell and T-cell receptors (human / mouse)
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Sequencing of methylated DNA (Methyl-Seq)
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ATAC-Seq (chromatin accessiblity)
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ChIP-Sequencing (ChIP-Seq – analysis of protein interactions with DNA)
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RIP-Sequencing (RIP-Seq – analysis of protein interactions with RNA)
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CLIP-Sequencing (CLIP-Seq – analysis of protein interactions with RNA-binding motives after UV-cross-lining)
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Customized molecular biology solutions on request as a collaborative project
Bioinformatics
The Core Unit offers customized analysis solutions for NGS projects at various levels:
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Bioinformatics consultation
- Standardized data analysis workflows for various NGS applications:
- Gene expression analysis
- Functional enrichment and signalling pathway analysis
- Identification of protein binding sites (peak calling)
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Development of analysis pipelines for new applications on request
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Support in the transfer of NGS experiments for publication on SRA (Sequence Read Archive) and GEO (Gene Expression Omnibus)