CS Bioinformatics staff delivers the bioinformatics analysis of all types of omics data, including, but not limited to, genomics (exome/DNA-seq), epigenomics & regulomics (ChIP-seq, ATAC-seq), transcriptomics (RNA-seq), ribosomics (Rip-seq), ncRNAs (miRNA-seq), metabolomics & proteomics. The Bioinformatics team analyzes such data to arrive at quality variants and required quantification and computational validation. In addition, the CS Bioinformatics team delivers capabilities to JAX's researchers and collaborators in understanding and interpreting the variants and associated quantification data in various biological domains including cancer biology, immunology, evolutionary biology, chromatin modeling, clinical genomics and metabolomics.

This service is only available to faculty and researchers at The Jackson Laboratory.

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BIOSTATISTICS

The Biostatistics group provides analysis support over a wide array of data types and domains. The data dealt by the Biostatistics team includes but not limited to, statistical genetics (QTL and GWAS), genomics (exome/DNA-seq), epigenomics & regulomics (ChIP-seq, ATAC-seq), transcriptomics (RNA-seq), ribosomics (Rip-seq), ncRNAs (miRNA-seq), metabolomics and proteomics. In addition to the analyses listed above, the Biostatistics group is available to consult with you on statistical experimental design & analysis including power and sample size analysis.

This service is only available to faculty and researchers at The Jackson Laboratory.