ReviewGenomics, proteomics & bioinformatics2013
Computational identification of active enhancers in model organisms.
Review in Genomics, proteomics & bioinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed.
- Integrative analysis of transcriptomic and epigenomic data reveals distinct patterns for developmental and housekeeping gene regulation.BMC biology · 2024Article
- Beyond the Exome: The Non-coding Genome and Enhancers in Neurodevelopmental Disorders and Malformations of Cortical Development.Frontiers in cellular neuroscience · 2019Article
- Eukaryotic enhancers: common features, regulation, and participation in diseases.Cellular and molecular life sciences : CMLS · 2015Review
- A Novel Quality Measure and Correction Procedure for the Annotation of Microbial Translation Initiation Sites.PloS one · 2015Article
- Computational and experimental methods to decipher the epigenetic code.Frontiers in genetics · 2014Article
- Gene regulatory networks in the genomics era.Genomics, proteomics & bioinformatics · 2013Article
- Article
- motifDiverge: a model for assessing the statistical significance of gene regulatory motif divergence between two DNA sequences.Statistics and its interfaceArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As a class of cis-regulatory elements, enhancers were first identified as the genomic regions that are able to markedly increase the transcription of genes nearly 30years ago. Enhancers can regulate gene expression in a cell-type specific and developmental stage specific manner. Although experimental technologies have been developed to identify enhancers genome-wide, the design principle of the regulatory elements and the way they rewire the transcriptional regulatory network tempo-spatially are far from clear. At present, developing predictive methods for enhancers, particularly for the cell-type specific activity of enhancers, is central to computational biology. In this review, we survey the current computational approaches for active enhancer prediction and discuss future directions.
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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.