GenePattern notebook

GenePattern notebook performs copy number variation (CNV) analysis from Illumina Infinium DNA methylation array data, using genome-wide CpG methylation measurements to detect genomic alterations in normal and cancer samples.

Key Features:

• Genome-wide CpG methylation measurement: Uses Illumina Infinium DNA methylation arrays to provide genome-wide measurement of DNA methylation at CpG sites.
• Integration with R/Bioconductor: Implements the R/Bioconductor packages minfi and conumee for data processing and CNV inference.
• Quality control and normalization: Employs minfi for quality control and normalization of Illumina Infinium methylation data.
• CNV inference: Utilizes conumee to infer copy number variations from processed methylation array data.
• Comparative sensitivity: Demonstrates CNV detection sensitivity comparable to array-CGH, SNP arrays, and whole-genome sequencing.
• Cohort applicability: Applicable to analyses of normal and cancer sample cohorts.

Scientific Applications:

• Oncology and biomarker discovery: Detection of copy number alterations in cancer samples to support identification of diagnostic, prognostic, or therapeutic biomarkers.
• Genetic variation studies: Comparative analysis of CNVs across normal and disease cohorts to study genomic alterations and their biological implications.

Methodology:

Input Illumina Infinium DNA methylation array data are processed with minfi for quality control and normalization, and conumee is used to infer copy number variations.