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

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...

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Autores principales: Zeng, Yong, Ye, Wenbin, Stutheit-Zhao, Eric Y, Han, Ming, Bratman, Scott V, Pugh, Trevor J, He, Housheng Hansen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10348834/
https://www.ncbi.nlm.nih.gov/pubmed/37402621
http://dx.doi.org/10.1093/bioinformatics/btad423
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author Zeng, Yong
Ye, Wenbin
Stutheit-Zhao, Eric Y
Han, Ming
Bratman, Scott V
Pugh, Trevor J
He, Housheng Hansen
author_facet Zeng, Yong
Ye, Wenbin
Stutheit-Zhao, Eric Y
Han, Ming
Bratman, Scott V
Pugh, Trevor J
He, Housheng Hansen
author_sort Zeng, Yong
collection PubMed
description 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.
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spelling pubmed-103488342023-07-15 MEDIPIPE: an automated and comprehensive pipeline for cfMeDIP-seq data quality control and analysis Zeng, Yong Ye, Wenbin Stutheit-Zhao, Eric Y Han, Ming Bratman, Scott V Pugh, Trevor J He, Housheng Hansen Bioinformatics Applications Note 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. Oxford University Press 2023-07-04 /pmc/articles/PMC10348834/ /pubmed/37402621 http://dx.doi.org/10.1093/bioinformatics/btad423 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Zeng, Yong
Ye, Wenbin
Stutheit-Zhao, Eric Y
Han, Ming
Bratman, Scott V
Pugh, Trevor J
He, Housheng Hansen
MEDIPIPE: an automated and comprehensive pipeline for cfMeDIP-seq data quality control and analysis
title MEDIPIPE: an automated and comprehensive pipeline for cfMeDIP-seq data quality control and analysis
title_full MEDIPIPE: an automated and comprehensive pipeline for cfMeDIP-seq data quality control and analysis
title_fullStr MEDIPIPE: an automated and comprehensive pipeline for cfMeDIP-seq data quality control and analysis
title_full_unstemmed MEDIPIPE: an automated and comprehensive pipeline for cfMeDIP-seq data quality control and analysis
title_short MEDIPIPE: an automated and comprehensive pipeline for cfMeDIP-seq data quality control and analysis
title_sort medipipe: an automated and comprehensive pipeline for cfmedip-seq data quality control and analysis
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10348834/
https://www.ncbi.nlm.nih.gov/pubmed/37402621
http://dx.doi.org/10.1093/bioinformatics/btad423
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