ArticleBMC genomics2022
Detection and identification of cis-regulatory elements using change-point and classification algorithms.
Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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.
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Who cites it
2 citing papers in PubMed.
- Profiling conserved transcription factor binding motifs in Phaseolus vulgaris through comparative genomics.BMC genomics · 2025Article
- Characterizing genetic variation in the regulation of the ER stress response through computational and cis-eQTL analyses.G3 (Bethesda, Md.) · 2023Article
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Authors and funding
5 authors.
Funding
Abstract
backgroundTranscriptional regulation is primarily mediated by the binding of factors to non-coding regions in DNA. Identification of these binding regions enhances understanding of tissue formation and potentially facilitates the development of gene therapies. However, successful identification of binding regions is made difficult by the lack of a universal biological code for their characterisation.
resultsWe extend an alignment-based method, changept, and identify clusters of biological significance, through ontology and de novo motif analysis. Further, we apply a Bayesian method to estimate and combine binary classifiers on the clusters we identify to produce a better performing composite.
conclusionsThe analysis we describe provides a computational method for identification of conserved binding sites in the human genome and facilitates an alternative interrogation of combinations of existing data sets with alignment data.
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