henhaobio
Sign in

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

PDFDOIPreprintCode

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%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISWilson '22Deger '21Hazelaar '25Halla-aho '22Shen '26Lau '23
74% semantic matchGenomics
Samantha L. Wilson, Shu Yi Shen, Lauren M. Harmon+5 more·Cell Reports Methods·Sep 1, 2022· 13 citations