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

Authors :
Zeng Y
Ye W
Stutheit-Zhao EY
Han M
Bratman SV
Pugh TJ
He HH
Source :
Bioinformatics (Oxford, England) [Bioinformatics] 2023 Jul 01; Vol. 39 (7).
Publication Year :
2023

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.<br />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.<br /> (© The Author(s) 2023. Published by Oxford University Press.)

Details

Language :
English
ISSN :
1367-4811
Volume :
39
Issue :
7
Database :
MEDLINE
Journal :
Bioinformatics (Oxford, England)
Publication Type :
Academic Journal
Accession number :
37402621
Full Text :
https://doi.org/10.1093/bioinformatics/btad423