MEDIPIPE

MEDIPIPE processes cell-free methylated DNA immunoprecipitation and high-throughput sequencing (cfMeDIP-seq) data to quantify cfDNA methylation patterns for cancer detection and treatment monitoring.

Key Features:

• End-to-End cfMeDIP-seq Processing: Implements complete analysis from quality control through methylation quantification to sample aggregation for cfMeDIP-seq datasets.
• Workflow Orchestration (Snakemake): Uses Snakemake to automate pipeline execution and enable reproducible workflow management.
• Environment Reproducibility (Conda): Employs Conda-based containerized environments to ensure consistent computational environments.
• Configurable Experimental Design: Supports diverse experimental settings via a single configuration file for pipeline parameters and sample metadata.
• Scalability for High-Throughput Data: Optimized to handle large-scale cfMeDIP-seq datasets and aggregation tasks for cohort-level analyses.

Scientific Applications:

• Cancer Detection: Enables non-invasive detection of tumors by profiling cfDNA methylation patterns from cfMeDIP-seq data.
• Tumor Classification: Supports classification of tumor types or states based on methylation signatures derived from cfDNA.
• Treatment Monitoring and Tumor Dynamics: Facilitates monitoring of treatment response and tumor dynamics through longitudinal cfDNA methylation profiling.
• Biomarker Discovery and Large-Scale Studies: Supports discovery of methylation biomarkers and analysis of large cohorts using aggregated cfMeDIP-seq data.

Methodology:

Computational steps explicitly include quality control of raw sequencing data, methylation quantification at genomic loci, and aggregation of methylation profiles across samples.