ArticleMethods in molecular biology (Clifton, N.J.)2021
Bioinformatic Estimation of DNA Methylation and Hydroxymethylation Proportions.
Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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Who cites it
1 citing paper in PubMed.
- Current and Emerging Technologies for the Analysis of the Genome-Wide and Locus-Specific DNA Methylation Patterns.Advances in experimental medicine and biology · 2022Article
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Simultaneous measurement of 5-methylcytosine (5-mC) and 5-hydroxymethylcytosine (5-hmC) at the single-nucleotide level can be obtained by combining data from DNA processing methods including traditional bisulfite (BS), oxidative bisulfite (oxBS), or Tet-assisted (TAB) bisulfite conversion. Array-based technologies have been widely used in this task, due to their time and cost efficiency. For methylation studies using BS data, many protocols and related packages have been suggested in the literature to deal with limitations and confounders that arise from array data. In this chapter, we illustrate how the reader can make small adjustments to these protocols to obtain estimates of methylation and hydroxymethylation proportions.
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Registered trials
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