Bioinformatics and Statistics Core

The purpose of the Bioinformatics and statistics core is to provide bioinformatic and statistical support for clinical, genomic and laboratory studies. A wide variety of studies are supported by the core.

Services provided by the Bioinformatics and Statistics core:

• Epidemiologic, experimental and clinical study design
• Power calculations
• Data analysis (Linear regression, logistic regression, t-test, ANOVA, Chi-square, Fisher’s exact, PLINK, METAL, Cluster analysis, Serial Gene expression analysis)
• Genetic association, Gene-gene (GxG) and Gene-environment (GxE) analyses
• Molecular pathway analyses (PARIS, others)
• SNP score analyses
• Genomic bioinformatics (next-generation sequencing and transcriptome pipelines, genotype data cleaning, CNV analyses, CRISPR-Cas9 next generation sequencing analysis)

Contacts:
Lucia Sobrin (Lucia_Sobrin@meei.harvard.edu)
Ayellet Segre (Ayellet_Segre@meei.harvard.edu)

Additional genomic analyses are also provided by the Bioinformatics Center (MBC) lead by Brian Cole (Brian_Cole@meei.harvard.edu)