Wolfgang Müller
Wolfgang Müller leads the Scientific Databases and Visualisation Group at HITS. He is Privatdozent at the Department for Business Informatics and Applied Informatics at the Universität Bamberg.
1996 he obtained a Diploma degree in physics at the University of Constance, with experimental work on soap foams at the CNRS Institute Charles Sadron at Strasbourg. He studied Computer Science in parallel at the FernUni Hagen. He obtained his diploma with a diploma thesis about data mining. 2001 he obtained a doctorat es sciences in Geneva (Prof. Dr. Thierry Pun), with work on Content Based Image Retrieval, i.e. finding images by their visual content. In 2008 he obtained a Habilitation degree at the University of Bamberg (2008) with work about Peer-to-Peer Information Retrieval, i.e. working on similarity search in distributed self-organising systems. Since 2008 Wolfgang Müller has been working at HITS, first as deputy group leader, then as successor of HITS Fellow Dr. Isabel Rojas (1968-2013), who had founded the group in 1999.
SDBV creates, populates and maintains data base applications, mostly for the use in systems biology. System biology strives to reach a systems understanding of biological systems. The challenges that SDBV addresses range from data integrations and efficient data structures to Human Computer Interaction, as well as social aspects of Open Data.
Müller has been coordinator of the data management of the systems biology of several large projects, and is active in the bioinformatics infrastructure community.
SEEK ID: https://sandbox11.fairdomhub.org/people/5
Location:
Germany
ORCID:
https://orcid.org/0000-0002-4980-3512
Joined: 28th Sep 2026
Expertise: Data Management, Software Engineering
Tools: Databases, Java, Python, Ruby on Rails
Their tagsRelated items
Modern life sciences generate data at a scale and complexity that fundamentally depend on scalable computing infrastructures and rigorous research data management. From assembling individual genomes, exploring complex microbial communities to building graph-based pangenomes, researchers today face both unprecedented opportunities and significant methodological challenges, not only in analysis, but also in how data and workflows are stored, shared, and sustained.
Programme: de.KCD summer school 2026
Public web page: https://events.hifis.net/event/3921/overview
ROR ID: https://ror.org/01f7bcy98
Department: Not specified
Country: Germany
City: Heidelberg
Web page: https://www.h-its.org
A workshop on meta pangenomics
A workshop on meta pangenomics
A workshop on meta pangenomics
Information about the three days in which data were analyzed.
Genomics Metagenomics Pangenomics
Submitter: Wolfgang Müller
Studies: DEMO: Searching for new Limnochordia species of the genus DTU010 in biog...
Assays: DEMO: Assay 1, DEMO: Assay 1
Recent survey of anaerobic digesters to uncover distinct microbiome signatures, finding the order Clostridia MBA03 (a subgroup of Limnochordia) to be highly abundant. Follow‑up analyses showed that Limnochordia genomes are resilient and metabolically versatile, e.g. capable of fermenting sugars and amino acids across varied reactor conditions, suggesting they stabilize biogas reactions. Phylogenetic analysis revealed 5 distinct families (DTU010, DTU012, B1SED10-159, JAAvYFS01, SLO01) encompassing ...
Submitter: Wolfgang Müller
Investigation: DEMO: Cloud Enabled (Meta/Pan)Genomics
Assays: DEMO: Assay 1
Metagenomics analyses of the summer school.
We did ... (sooo... what did you actually do?)
Submitter: Wolfgang Müller
Investigation: 1 hidden item
Submitter: Wolfgang Müller
Assay type: Metagenomics
Technology type: Technology Type
Investigation: 1 hidden item
Study: Wednesday: Metagenomics
Data from 8 different biogas plants operating under different conditions and fed differently collected and sequenced.
- Data in 1: 8 Samples (as described in samples_metadata.tsv)
- Data out 1: 8 sets of pairs of fastq files (forward & reverse), as described in run_metadata.tsv, located in wednesday→data
Submitter: Wolfgang Müller
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: 1 hidden item
Study: Wednesday: Metagenomics
Data from 8 different biogas plants operating under different conditions and fed differently collected and sequenced.
- Data in 1: 8 Samples (as described in samples_metadata.tsv)
- Data out 1: 8 sets of pairs of fastq files (forward & reverse), as described in run_metadata.tsv, located in wednesday→data
Submitter: Wolfgang Müller
Assay type: Metagenomics
Technology type: Technology Type
Investigation: DEMO: Cloud Enabled (Meta/Pan)Genomics
Creators: Wolfgang Müller, Sebastian Jünemann
Submitter: Wolfgang Müller
Abstract (Expand)
Authors: Bart Nijsse, Peter J Schaap, Jasper J Koehorst
Date Published: 28th Dec 2022
Publication Type: Journal Article
The sample type of the submission.yml
Title (String) *, collection_date (Date time) , geographic location (country and/or sea) (String) , geographic location (region/locality) (String) , geographic location (latitude) (Real number) , geographic location (longitude) (Real number) , environmental sample (String) , reactor type (String) , reactor material (String) , total volume (String) ( L ) , working volume (String) ( L ) , temperature (String) ( °C ) , pH (String) , flow rate (String) , hydraulic retention time (String) , feedstock (String) , mixing method (String) , inoculum (String)
Not specified
