Integrative Analysis Unit
The Integrative Analysis Unit (IAU) at SCELSE focuses on comprehending the complexity of downstream analysis of metagenome and metatranscriptome datasets. This unit provides expertise in data analysis, interpretation, experimental design and statistical support, working extensively with researchers from all clusters to enhance data utilisation. The IAU develops new computational methods and software, equipping SCELSE staff and collaborators with sophisticated analysis tools through tailored advice and regular in-house workshops.
Specialising In
- Downstream analysis of metagenome and metatranscriptome data
- Collaboration with SCELSE researchers on data interpretation
- Training workshops on experimental design and analysis tools
- Development of computational methods and genome-independent analysis
The Project
SCELSE’s research clusters leverage the IAU’s expertise in metagenomic and metatranscriptomic data analysis. Utilizing high-throughput sequencing and advanced bioinformatics tools, the project focuses on genome-resolved analysis of microbial communities. The IAU’s facilities include a high-performance computing cluster and specialized software for metagenome assembly and genome-independent community analysis, ensuring comprehensive data interpretation and impactful research outcomes.
The Goal
The IAU aims to enhance the analysis and interpretation of complex biological datasets, develop new computational tools, and support SCELSE’s research clusters through data-driven insights and innovative methodologies.
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Enhance data utilisation
Develop and implement advanced computational methods to maximize the value of complex biological datasets.
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Support collaborative research
Provide analytical and statistical expertise to SCELSE researchers, facilitating interdisciplinary research and innovation.
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Develop new analysis tools
Create and refine software and methodologies for genome-resolved metagenomics and metatranscriptomics.
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Train researchers
Conduct workshops and training sessions to equip researchers with the skills needed for sophisticated data analysis and interpretation.
Publications
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