Biology Galaxy Server
Moin Moin, the Biologie Galaxy Server is online!
Galaxy is a web-based bioinformatics application for computationally intensive biomedical research. There are a few large publicly available servers, for example in Freiburg and Texas. The Biology department has its own local server for teaching and research purposes that is available to all members of the department.
The Biologie Galaxy Server is administrated by Jun.-Prof. Dr. Mathilde Cordellier, Dr. Andrej Fabrizius, Hermann Müller, and Dr. Jörn Adomeit.
How can I get access?
Simply send an email to Jun.-Prof. Dr. Mathilde Cordellier(mathilde.cordellier"AT"uni-hamburg.de) or Dr. Andrej Fabrizius(andrej.fabrizius"AT"uni-hamburg.de) with the subject line "Galaxy user account".
Why Galaxy?
Galaxy is optimal for the analysis of data from high throughput sequencing. Unlike command line based applications, Galaxy has a user friendly interface and is easy to use even for beginners. State-of-the-art programs are available through “wrappers” and the Galaxy platform solves versioning and compatibility issues.
Research questions
Which genes are up or down-regulated under hypoxic conditions?
-> RNAseq with Bowtie and DESeq2
Which microorganism can you find near deep-sea thermal vents?
-> metagenomics mit Mothur
How genetically diverse are beetle populations?
-> ddRAD –Analysis with Stacks and Structure
What metabolites can you find in plant phloem?
-> LC-MS – CAMERA Compound Analysis
Galaxy tools
Some popular tools are already installed. Should you want to try something that isn't available, contact us via email(mathilde.cordellier"AT"uni-hamburg.de) and we will try to install the tool.
Available tools can be found here: Galaxy Tool Shed
This Galaxy server is not a long-term data storage option: please save your raw data after processing somewhere else, for example at the “European Nucleotide Archive”.
Computing capacity
The computing capacity of this server will be reserved for teaching purposes in April and May. All other users might experience slow job processing.
We recommend using the Hummel HPC for large genome and transcriptome assemblies. We are currently working on a link of Galaxy to Hummel HPC to use the computing capacity.
Learning Galaxy / Bioinformatics
Learn Galaxy »Galaxy FAQs »
Courses by A. Fabrizius & M. Cordellier MBIO-W-27.