MethTargetedNGS

MethTargetedNGS performs comprehensive DNA methylation analysis of next-generation sequencing (NGS) data to identify and quantify methylation patterns for epigenetic studies.

Key Features:

• Integration with Bioconductor and R: Implemented on the Bioconductor framework using the R programming language to leverage interoperable bioinformatics packages.
• Comprehensive methylation analysis: Identifies and quantifies methylated cytosines and methylation patterns within NGS datasets.
• Interoperability with Bioconductor packages: Provides access to and extension via over 934 Bioconductor packages for additional analytical methods.
• Rigorous quality assurance: Relies on Bioconductor's formal initial review process and continuous automated testing for package quality and reproducibility.

Scientific Applications:

• Cancer research: Analysis of DNA methylation patterns to identify potential biomarkers for diagnosis and prognosis.
• Developmental biology: Characterization of methylation changes during development to study gene regulation mechanisms.
• Epigenetics studies: Exploration of methylation roles in complex diseases and phenotypic variation.

Methodology:

Data preprocessing (quality control and normalization), methylation calling (identification of methylated cytosines using algorithms), and statistical analysis (application of advanced statistical methods).