Genomics & Transcriptomics

We provide full bioinformatic and biostatistical support for Next Generation Sequencing (NGS) and microarray data analysis. We offer a complete framework that covers all aspects of the data analysis. Additionally, we collaborate with researchers with respect to development and implementation of algorithms and processing pipelines.

Next Generation Sequencing Data Analysis

Our portolio includes but is not limited to

• De novo assembly of  genomes and transcriptomes
• RNA-seq analysis
• ChIP-seq analysis
• SNP and Variant analysis
• small RNA analysis
• Amplicon analysis
• methylation analysis

For the individual analyses we provide standard procedures, and perform custom analyses based on special agreements.

We support any kind of sequencing data produced by any of our instruments.
We run a large collection of open source software as well as a selection of commercial applications (e.g. CLC Bio Genomics Workbench).

Microarray Data Analysis

We provide analysis for the following applications

• Gene expression
• miRNA expression
  
• ChIP-chip

We routinely analyse microarray data with the following software systems/programming environments:

• R/Bioconductor
• GeneSpring GX (Agilent)
  
• Genomics Suite (Partek)
• MetaCore (GeneGo); provides pathway analysis
  

For a quick analysis of two-channel microarray data, we recommend to make use of the MAGMA web-application.

Teaching, Support and Collaborations

All FGCZ users with an approved project get basic bioinformatic software and statistics support, which comprises introduction into the relevant aspects of the data analysis and consulting during experiment planning and data analysis. For projects that need more than standard workflow tools and methods, the FGCZ can support them in the form of collaborations; See also Support Modes > Collaboration.

Contact

Hubert Rehrauer