Keck Biostatistics Resource

About the core

Staff members are biostatisticians and research scientists with many years of experience in data analysis, methodology development, and service to the research community. They also contribute to research design and grant and manuscript preparation.

Services

Genomics

• Gene expression data analysis (microarray, RNA-Seq, etc.)
• Next-generation sequencing data analysis
• Genome-wide association studies
• miRNA array data analysis
• Clustering analysis
• Gene ontology analysis
• Pathway analysis
• Genetic association study for both unrelated samples and family samples
• Genetic variation analysis (SNP chip, genotyping sequencing, copy number variation, etc.)
• ChIP-Seq data analysis

Proteomics

• Label-free mass spectrometry data analysis
• Clustering analysis
• Pathway analysis

Other services

• Sample size and power calculations
• Statistical analysis of clinical research data
• Grant and manuscript preparation

 

Available to Yale researchers & external researchers

• Bioinformatics, biostatistics, & computing