MEDIPIPE: an automated and comprehensive pipeline for cfMeDIP-seq data quality control and analysis

Bioinformatics. 2023 Jul 1;39(7):btad423. doi: 10.1093/bioinformatics/btad423.

Abstract

Summary: Cell-free methylated DNA immunoprecipitation and high-throughput sequencing (cfMeDIP-seq) has emerged as a promising liquid biopsy technology to detect cancers and monitor treatments. While several bioinformatics tools for DNA methylation analysis have been adapted for cfMeDIP-seq data, an end-to-end pipeline and quality control framework specifically for this data type is still lacking. Here, we present the MEDIPIPE, which provides a one-stop solution for cfMeDIP-seq data quality control, methylation quantification, and sample aggregation. The major advantages of MEDIPIPE are: (i) ease of implementation and reproducibility with Snakemake containerized execution environments that will be automatically deployed via Conda; (ii) flexibility to handle different experimental settings with a single configuration file; and (iii) computationally efficiency for large-scale cfMeDIP-seq profiling data analysis and aggregation.

Availability and implementation: This pipeline is an open-source software under the MIT license and it is freely available at https://github.com/pughlab/MEDIPIPE.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cell-Free Nucleic Acids*
  • High-Throughput Nucleotide Sequencing
  • Immunoprecipitation
  • Quality Control
  • Reproducibility of Results
  • Software*

Substances

  • Cell-Free Nucleic Acids