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Logo de la plateforme d’informatique biomédicale Data Analysis Core DAC

Data Analysis Core

The Data Analysis Core biomedical informatics platform

The Data Analysis Core facility (DAC) supports data processing, data governance, data analysis and data interpretation of basic and clinical neuroscience research. CPD is organized into four divisions.

Presentation of the platform

Presentation of the platform

omic analysis

The omics analysis division specializes in the analysis of next generation sequence (NGS) data, including genomics (gene panel, whole exome and whole genome sequencing), transcriptomics (bulk RNA-seq, non-coding RNA, small RNA, splice variants), unicellular RNA-seq, spatial transcriptomics, epigenetics (methylation, ATAC-seq, ChIP-seq) and long-reads technologies (ONT). Automated pipelines are developed for reproducibility and extensibility and implemented on specialized high-performance servers. Graphic user interfaces are developed to explore transcriptomic data from bulk and single-cell RNA-seq experiments (QuBy), and variants identified in his research studies (DejaVu).

 

Image analysis

The Image Analysis Division helps researchers analyze images from all imaging technologies in close collaboration with QUANT, CENIR and Histomics platforms, including photonics/electromicroscopy and neuroimaging. The division provides assistance in AI-based segmentation and classification projects and develops tools and analyses for morphological analyses and descriptive statistics.

 

Statistics and methodology

The Statistics and Methodology Division provides expert statistical analysis support and methodological support for any part of a research project, from power analyses to statistical modelling, visualization and interpretation. The division responds to current needs and anticipates future developments by developing new statistical methods to handle the integrative analysis of multidimensional and multimodal data collected and studied at the institute.

 

Data Governance and Open Science

The Data Governance and Open Science division implements the Institute's vision of maximizing the impact of its research by providing tools and advice to researchers to exploit the potential of their data collection. The Division contributes to the implementation of the Institute's data management policy in collaboration with the Technical and Regulatory Committee (TRC) and assists in the creation and maintenance of researchers' data management plans. The division develops and provides technical support for relational databases with secure web interfaces, supported by a shared data model, which covers the range of data collected and searched at the institute.

 

Scientific officer: Violetta ZUJOVIC
Operator: Stephen WHITMARSH
 

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