Evidence map›Paper›PMID 30871603›Full record

ArticleGenome biology2019

RnBeads 2.0: comprehensive analysis of DNA methylation data.

Fabian Müller, Michael Scherer, Yassen Assenov, Pavlo Lutsik, Jörn Walter, Thomas Lengauer, Christoph Bock

Abstract read
In one paragraph

Article in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 220 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
220citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

220 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  18. Epigenetic Instability-Based Metrics in Cell-Free DNA for Early Cancer Detection.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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160 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Fabian MüllerMax Planck Institute for Informatics, Saarland Informatics Campus, 66123, Saarbrücken, Germany. team@rnbeads.org.
Michael SchererMax Planck Institute for Informatics, Saarland Informatics Campus, 66123, Saarbrücken, Germany. team@rnbeads.org.
Yassen AssenovDivision of Epigenomics and Cancer Risk Factors, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany. team@rnbeads.org.
Pavlo LutsikDivision of Epigenomics and Cancer Risk Factors, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany. team@rnbeads.org.
Jörn WalterDepartment of Genetics/Epigenetics, Saarland University, 66123, Saarbrücken, Germany.
Thomas LengauerMax Planck Institute for Informatics, Saarland Informatics Campus, 66123, Saarbrücken, Germany.
Christoph BockMax Planck Institute for Informatics, Saarland Informatics Campus, 66123, Saarbrücken, Germany. team@rnbeads.org.ORCID http://orcid.org/0000-0001-6091-3088

Funding

European Research Council 679146
6 · The paper itself

Abstract

DNA methylation is a widely investigated epigenetic mark with important roles in development and disease. High-throughput assays enable genome-scale DNA methylation analysis in large numbers of samples. Here, we describe a new version of our RnBeads software - an R/Bioconductor package that implements start-to-finish analysis workflows for Infinium microarrays and various types of bisulfite sequencing. RnBeads 2.0 ( https://rnbeads.org/ ) provides additional data types and analysis methods, new functionality for interpreting DNA methylation differences, improved usability with a novel graphical user interface, and better use of computational resources. We demonstrate RnBeads 2.0 in four re-runnable use cases focusing on cell differentiation and cancer.

Indexed as

DNA MethylationEpigenomicsSoftwareAdolescentAdultAgedAged, 80 and overAge FactorsBiomarkers, TumorChildComputational BiologyEmbryonic Stem CellsFemaleGenome, HumanHigh-Throughput Nucleotide SequencingHumansBiomarkers, TumorBioinformatics software toolBisulfite sequencingComputational epigeneticsDNA methylationEpigenome-wide association studiesEpigenotyping microarraysIntegrative data analysisR/Bioconductor package

Identifiers

PMID30871603
PMCPMC6419383

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.