BioinformaticsBioinformaticsPeer-reviewed journal article
MEDIPIPE: an automated and comprehensive pipeline for cfMeDIP-seq data quality control and analysis
Yong ZengiD, Wenbin YeiD, Eric Stutheit-Zhao, Ming HaniD, Scott Victor BratmaniD, Trevor J. PughiD, Housheng Hansen HeiD
Abstract
Summarycell-free methylated DNA immunoprecipitation and high-throughput sequencing (cfMeDIP-seq) has emerged as a promising non-invasive technology to detect cancers and monitor treatments. Several bioinformatics tools are available for cfMeDIP-seq data analysis. However, an easy to implement and flexible pipeline, particularly, for large-scale cfMeDIP-seq profiling, 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: 1) it is easy to implement and reproduce with automatically deployed execution environments; 2) it can handle different experimental settings with a single input configuration file; 3) it is computationally efficient for large-scale cfMeDIP-seq profiling data analysis and aggregation. Availability and implementationThis pipeline is an open-source software under the MIT license and it is freely available at https://github.com/yzeng-lol/MEDIPIPE. Contactyzeng@uhnresearch.ca or trevor.pugh@utoronto.ca or hansenhe@uhnresearch.ca Supplementary informationSupplementary data are appended.
- Citations
- 8
- FWCI
- 0.71
- Field percentile
- top 37%
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