ArticlePatterns (New York, N.Y.)2020
Msuite: A High-Performance and Versatile DNA Methylation Data-Analysis Toolkit.
Article in Patterns (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Epigenomic modifications define chromatin states to regulate cell-free DNA fragmentomics.Nature communications · 2026Article
- Cancer-Like Fragmentomic Characteristics of Somatic Variants in Cell-Free DNA.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Cell-free DNA end characteristics enable accurate and sensitive cancer diagnosis.Cell reports methods · 2024Article
- DNA methylation analysis explores the molecular basis of plasma cell-free DNA fragmentation.Nature communications · 2023Article
- Accelerating the alignment processing speed of the comprehensive end-to-end whole-genome bisulfite sequencing pipeline, wg-blimp.Biology methods & protocols · 2023Article
- msPIPE: a pipeline for the analysis and visualization of whole-genome bisulfite sequencing data.BMC bioinformatics · 2022Article
- Computational challenges in detection of cancer using cell-free DNA methylation.Computational and structural biotechnology journal · 2022Review
- Msuite2: All-in-one DNA methylation data analysis toolkit with enhanced usability and performance.Computational and structural biotechnology journal · 2022Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
DNA methylation is a pervasive and important epigenetic regulator in mammalian genome. For DNA methylome profiling, emerging bisulfite-free methods have demonstrated desirable superiority over the conventional bisulfite-treatment-based approaches, although current analysis software could not make full use of their advantages. In this work, we present Msuite, an easy-to-use, all-in-one data-analysis toolkit. Msuite implements a unique 4-letter analysis mode specifically optimized for emerging protocols; it also integrates quality controls, methylation call, and data visualizations. Msuite demonstrates substantial performance improvements over current state-of-the-art tools as well as fruitful functionalities, thus holding the potential to serve as an optimal toolkit to facilitate DNA methylome studies. Source codes and testing datasets for Msuite are freely available at https://github.com/hellosunking/Msuite/.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.