ArticleBioinformation2010
Computational Epigenetics: the new scientific paradigm.
Article in Bioinformation, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Modern epigenetics methods in biological research.Methods (San Diego, Calif.) · 2021Review
- Recent progress on cheminformatics approaches to epigenetic drug discovery.Drug discovery today · 2020Review
- Translational cancer biology.Journal of translational medicine · 2020Article
- The Promises and Challenges of Toxico-Epigenomics: Environmental Chemicals and Their Impacts on the Epigenome.Environmental health perspectives · 2020Article
- Epigenetics for the 21st-Century Biology Student.Journal of microbiology & biology education · 2019Article
- Epigenetic mechanisms in sexual differentiation of the brain and behaviour.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016Review
- Using epigenomics data to predict gene expression in lung cancer.BMC bioinformatics · 2015Article
- Applications of alignment-free methods in epigenomics.Briefings in bioinformatics · 2014Review
- Arpeggio: harmonic compression of ChIP-seq data reveals protein-chromatin interaction signatures.Nucleic acids research · 2013Article
- Epigenetic regulation of adaptive responses of forest tree species to the environment.Ecology and evolution · 2013Article
- Basic concepts of epigenetics: impact of environmental signals on gene expression.Epigenetics · 2012Review
- DNA structural properties in the classification of genomic transcription regulation elements.Bioinformatics and biology insights · 2012Article
- Emerging patterns of epigenomic variation.Trends in genetics : TIG · 2011Review
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
No grant is acknowledged in the PubMed record.
Abstract
Epigenetics has recently emerged as a critical field for studying how non-gene factors can influence the traits and functions of an organism. At the core of this new wave of research is the use of computational tools that play critical roles not only in directing the selection of key experiments, but also in formulating new testable hypotheses through detailed analysis of complex genomic information that is not achievable using traditional approaches alone. Epigenomics, which combines traditional genomics with computer science, mathematics, chemistry, biochemistry and proteomics for the large-scale analysis of heritable changes in phenotype, gene function or gene expression that are not dependent on gene sequence, offers new opportunities to further our understanding of transcriptional regulation, nuclear organization, development and disease. This article examines existing computational strategies for the study of epigenetic factors. The most important databases and bioinformatic tools in this rapidly growing field have been reviewed.
Indexed as
Identifiers
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.