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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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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. |
format | Online Article Text |
id | pubmed-10348834 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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