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