We develop statistical methods and software for genomics, transcriptomics and exposomics to be applied in environmental epidemiology [here]. We focus on SNP arrays and next generation sequencing. We are interested in leveraging our expertise in handling both, epidemiological and genetic data, to help translate scientific research into biomedical practice.
Specific problems we are currently working on include:
- Exposomics: Developing statistical methods and tools to deal with 'omic' and exposome data.
- Next Generation Sequencing: Developing analysis tools and statistical methods to detect mosaicims and analye RNA-seq data.
- Inversions: Developing analysis tools and new statistical methods to detect inversions using SNParray data and asses association with disease considering ad-mixture population.
- CNVs and imputed SNPs: Developing models to incorporate uncertainty in genetic association studies.
- Causality models: New methods to assess causality between genomic, transcriptomic, epigenomic and disease.
- affy2sv: Tools for newest Affymetrix arrays.
- SNPassoc: Tool to analyze genetic association studies including genetic models, population stratification, max-statistic, genetic scores, ...
The People Section provides links to poeple's group. The Software and Data Section provides Bioconductor tools.