Research
Integrative Analysis Unit

The analysis of biological data generated by modern sequencing and mass spectrometry systems is now routinely required in many research programmes in the life sciences but remains highly challenging, complex and time consuming. It requires a mix of deep biological or engineering insight, skills in scientific computing and knowledge of data analysis and statistics. 

Standalone software can be limiting as research questions easily generate problems that are non-standard. 

To address these challenges, SCELSE has formed an Integrative Analysis Unit (IAU), headed by Dr Rohan Williams.

“The concept is to provide a hub for the analysis and interpretation of complex datasets generated in SCELSE,” Dr Williams said. 

The IAU blends research, service provision and teaching in a mixture tailored to the complexity and breadth of SCELSE’s research. It is smaller than SCELSE’s research clusters, and is designed to offer a more specialised focus.

The service component of the IAU provides some limited service bioinformatics in the areas of short read mapping, complex community analysis, 16S amplicon sequencing analysis and untargeted metabolomics data, so that teams can move rapidly beyond dealing with raw FASTQ or mzXML files and start thinking immediately about downstream analysis and interpretation.   

The IAU will also expand the scope of workshops currently run by Dr Ezequiel “Ziggy” Marzinelli on experimental design and analysis.

The research activities of the IAU will be focused on the addressing some fundamental problems in complex microbial community analysis, using a mix of experimental and computational approaches, with a strong collaborative and translational focus.