Evidence map›Paper›PMID 32941995›Full record

ReviewMethods (San Diego, Calif.)2021

Computational methods and next-generation sequencing approaches to analyze epigenetics data: Profiling of methods and applications.

Itika Arora, Trygve O Tollefsbol

Abstract readReview
In one paragraph

Review in Methods (San Diego, Calif.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–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

22 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Genetic heritage of war: exploring transgenerational inheritance of PTSD and its molecular background.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Review
  6. Article
  7. Review
  8. Review
  9. Methods in DNA methylation array dataset analysis: A review.Computational and structural biotechnology journal · 2024
    Review
  10. Review
  11. Review
  12. Review
  13. AFrontiers in cardiovascular medicine · 2024
    Article
  14. Review
  15. Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. Advance epigenetics methods in biomedicine.Methods (San Diego, Calif.) · 2021
    Article
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

2 authors.

Itika AroraDepartment of Biology, University of Alabama at Birmingham, 1300 University Boulevard, Birmingham, AL 35294, USA. Electronic address: itiarora@uab.edu.
Trygve O TollefsbolDepartment of Biology, University of Alabama at Birmingham, 1300 University Boulevard, Birmingham, AL 35294, USA; Comprehensive Center for Healthy Aging, University of Alabama Birmingham, 1530 3rd Avenue South, Birmingham, AL 35294, USA; Comprehensive Cancer Center, University of Alabama Birmingham, 1802 6th Avenue South, Birmingham, AL 35294, USA; Nutrition Obesity Research Center, University of Alabama Birmingham, 1675 University Boulevard, Birmingham, AL 35294, USA; Comprehensive Diabetes Center, University of Alabama Birmingham, 1825 University Boulevard, Birmingham, AL 35294, USA. Electronic address: trygve@uab.edu.

Funding

Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARBARA A GOWER · 2000 to 2026
$31.9M
University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Kirk Michael Habegger · 2013 to 2026
$19.5M
Combinatorial epigenetic-based prevention of breast cancerR01CA178441 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI TOLLEFSBOL, TRYGVE O · 2014 to 2025
$3.2M
Early life prevention of breast cancer with combined epigenetic botanicalsR01CA204346 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI TOLLEFSBOL, TRYGVE O · 2017 to 2021
$1.7M
NCI NIH HHS R01 CA178441NCI NIH HHS R01 CA204346NIDDK NIH HHS P30 DK056336NIDDK NIH HHS P30 DK079626
6 · The paper itself

Abstract

Epigenetics is mainly comprised of features that regulate genomic interactions thereby playing a crucial role in a vast array of biological processes. Epigenetic mechanisms such as DNA methylation and histone modifications influence gene expression by modulating the packaging of DNA in the nucleus. A plethora of studies have emphasized the importance of analyzing epigenetics data through genome-wide studies and high-throughput approaches, thereby providing key insights towards epigenetics-based diseases such as cancer. Recent advancements have been made towards translating epigenetics research into a high throughput approach such as genome-scale profiling. Amongst all, bioinformatics plays a pivotal role in achieving epigenetics-related computational studies. Despite significant advancements towards epigenomic profiling, it is challenging to understand how various epigenetic modifications such as chromatin modifications and DNA methylation regulate gene expression. Next-generation sequencing (NGS) provides accurate and parallel sequencing thereby allowing researchers to comprehend epigenomic profiling. In this review, we summarize different computational methods such as machine learning and other bioinformatics tools, publicly available databases and resources to identify key modifications associated with epigenetic machinery. Additionally, the review also focuses on understanding recent methodologies related to epigenome profiling using NGS methods ranging from library preparation, different sequencing platforms and analytical techniques to evaluate various epigenetic modifications such as DNA methylation and histone modifications. We also provide detailed information on bioinformatics tools and computational strategies responsible for analyzing large scale data in epigenetics.

Indexed as

Data AnalysisHigh-Throughput Nucleotide SequencingMachine LearningAnimalsDNA MethylationEpigenesis, GeneticEpigenomicsHistone CodeHumansMiceComputational epigeneticsDNA methylationEpigeneticsEpigenomeHistone modificationsMachine learningNext-generation sequencingTranscriptional regulation

Identifiers

PMID32941995
PMCPMC7914156

What OpenQuestion holds

Textmetadata
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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.