ReviewWiley interdisciplinary reviews. Systems biology and medicine
Comparative epigenomics: defining and utilizing epigenomic variations across species, time-course, and individuals.
Review in Wiley interdisciplinary reviews. Systems biology and medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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
6 citing papers in PubMed.
- Epigenomics and Ayurgenomics: Molecular Analysis of Ayurvedic Prakriti in Personalized Healthcare.Cureus · 2026Review
- Epigenomic methylome landscape of promoters in vertebrate genomes.bioRxiv : the preprint server for biology · 2026Article
- An Analysis of Methylome Evolution in Primates.Molecular biology and evolution · 2021Article
- EpiAlignment: alignment with both DNA sequence and epigenomic data.Nucleic acids research · 2019Article
- A likelihood approach to testing hypotheses on the co-evolution of epigenome and genome.PLoS computational biology · 2018Article
- Coordinate systems for supergenomes.Algorithms for molecular biology : AMB · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
unlabelledEpigenomic profiling, by revealing genome-wide distributions of epigenetic modifications, generated a large amount of structural information about the chromosomes. Epigenomic analysis has quickly become a big data science, posing tremendous challenges on its translation into knowledge. To meet this challenge, comparative analysis of epigenomes, dubbed comparative epigenomics, has emerged as an active research area. Here, we summarize the recent developments in comparative epigenomic analyses into three major directions, namely the comparisons across species, the time-course of a biological process, and individuals. We review the main ideas, methods, and findings in each direction, and discuss the implications to understanding the regulatory functions of the genomes. CONFLICT OF INTEREST: The authors have declared no conflicts of interest for this article.
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Identifiers
What Socratic 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 Socratic graph.