Pipeline Olympics: continuable benchmarking of computational workflows for DNA methylation sequencing data against an experimental gold standard

DNA methylation is a widely studied epigenetic mark and a powerful biomarker of cell type, age, environmental exposures, and disease. Whole-genome sequencing following selective conversion of unmethylated cytosines into thymines via bisulfite treatment or enzymatic methods remains the reference method for DNA methylation profiling genome-wide. While numerous software tools facilitate processing of DNA methylation sequencing reads, a comprehensive benchmarking study has been lacking. In this study, we systematically compared complete computational workflows for processing DNA methylation sequencing data using a dedicated benchmarking dataset generated with five whole-genome profiling protocols. As an evaluation reference, we employed accurate locus-specific measurements from our previous benchmark of targeted DNA methylation assays. Based on this experimental gold-standard assessment and multiple performance metrics, we identified workflows that consistently demonstrated superior performance and revealed major workflow development trends. To ensure the long-term utility of our benchmark, we implemented an interactive workflow execution and data presentation platform, adaptable to user-defined criteria and readily expandable to future software.

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Publication Details

Journal
Nucleic Acids Research
Published
2025-09-12
DOI
https://doi.org/10.1093/nar/gkaf970
Primary Topic
Epigenetics and DNA Methylation
Type
article
Field-Weighted Citation Impact
0.00

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article

Pipeline Olympics: continuable benchmarking of computational workflows for DNA methylation sequencing data against an experimental gold standard

Pavlo Lutsik, Clarissa Gerhäuser, Manel Esteller, Antonella Sarnataro et al.
Nucleic Acids Research
Epigenetics and DNA Methylation
article

Pipeline Olympics: continuable benchmarking of computational workflows for DNA methylation sequencing data against an experimental gold standard

Pavlo Lutsik, Clarissa Gerhäuser, Manel Esteller, Antonella Sarnataro, Mark Hartmann, Daniel B. Lipka, Christoph Plass, Lena Weiser, Angelika Merkel, Maximilian Schönung, Edahí González‐Avalos, Stephan Wolf, Sven Twardziok, Oliver Mücke, Gideon Giacomelli, Kersten Breuer, Dieter Weichenhan, Stephen Krämer, Christian Lawerenz, Jörn Walter, Marc Zapatka, Christoph Bock, Maryna Chepeleva, Réka Tóth, Karl Nordstroem, Ivo Buchhalter, Steve Hoffmann, Pascal Lafrenz, Matthias Schlesner, Yassen Assenov, Volker Hovestadt, Franziska Petermann, Marcel H. Schulz, Murat Iskar, Helene Kretzmer, Jonas Fischer, Yu‐Yu Lin, Frank Thommen, Philip Kensche, Agata Wilk
article en

Abstract

DNA methylation is a widely studied epigenetic mark and a powerful biomarker of cell type, age, environmental exposures, and disease. Whole-genome sequencing following selective conversion of unmethylated cytosines into thymines via bisulfite treatment or enzymatic methods remains the reference method for DNA methylation profiling genome-wide. While numerous software tools facilitate processing of DNA methylation sequencing reads, a comprehensive benchmarking study has been lacking. In this study, we systematically compared complete computational workflows for processing DNA methylation sequencing data using a dedicated benchmarking dataset generated with five whole-genome profiling protocols. As an evaluation reference, we employed accurate locus-specific measurements from our previous benchmark of targeted DNA methylation assays. Based on this experimental gold-standard assessment and multiple performance metrics, we identified workflows that consistently demonstrated superior performance and revealed major workflow development trends. To ensure the long-term utility of our benchmark, we implemented an interactive workflow execution and data presentation platform, adaptable to user-defined criteria and readily expandable to future software.

Nucleic Acids ResearchVol. 53(19)
Broad Institute (US), Goethe University Frankfurt (DE), Institució Catalana de Recerca i Estudis Avançats (ES), Boston Children's Hospital (US), La Jolla Institute for Immunology (US), Leipzig University of Applied Sciences (DE), Austrian Research Institute for Artificial Intelligence (AT), Koblenz University of Applied Sciences (DE), University of Augsburg (DE), German Cancer Research Center (DE), Heidelberg University (DE), University Hospital Heidelberg (DE), Josep Carreras Leukaemia Research Institute (ES), Luxembourg Institute of Health (LU), Max Planck Institute for Informatics (DE), National Center for Tumor Diseases (DE), Department of Physiological Sciences (RU), Dana-Farber Cancer Institute (US), CeMM Research Center for Molecular Medicine (AT), Leibniz Institute on Aging - Fritz Lipmann Institute (FLI) (DE), DIPF | Leibniz Institute for Research and Information in Education (DE), Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE), Centro Nacional de Análisis Genómico (ES), Max Planck Institute for Molecular Genetics (DE), Boston Children's Museum (US), Centro de Investigación Biomédica en Red de Cáncer (ES), Life University (US), Heidelberg University (US), Epigenomics (Germany) (DE), Saarland University (DE), Leipzig University (DE), Otto-von-Guericke-Universität Magdeburg (DE), KU Leuven (BE)
Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 73%
Epigenetics and DNA Methylation
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