ISoLDE

ISoLDE identifies imprinted genes from RNA sequencing (RNA-seq) data by detecting allele-specific expression differences to infer parental-origin imprinting patterns.

Key Features:

• Dedicated Methodology: A novel approach tailored to analyze RNA-seq data for the identification of imprinted genes.
• Allele-specific analysis: Detects expression differences between maternal and paternal alleles to call imprinting events.
• Statistical models and algorithms: Employs statistical models and algorithms designed for high-throughput sequencing data to handle noise and variability in RNA-seq.
• Bioconductor integration: Distributed within the Bioconductor framework for interoperability with other Bioconductor packages.

Scientific Applications:

• Genetic imprinting discovery: Identification and cataloging of imprinted genes from RNA-seq datasets.
• Developmental and disease studies: Investigation of imprinting contributions to developmental processes and imprinting-related disorders.
• Evolutionary and complex trait research: Analysis of imprinting mechanisms relevant to complex traits and evolutionary biology.

Methodology:

Uses RNA-seq data to analyze allele-specific expression differences between maternal and paternal alleles and applies statistical models and algorithms tailored for high-throughput sequencing data.