Detection and identification of cis-regulatory elements using change-point and classification algorithms

Autor:	Dominic Maderazo, Jennifer A. Flegg, Manjula Algama, Mirana Ramialison, Jonathan Keith
Rok vydání:	2021
Předmět:	Binding Sites Genome Human Methodology Article Bayes Theorem QH426-470 Regulatory Sequences Nucleic Acid Conserved non-coding sequences Genome segmentation Genetics Humans Putative functional elements Bayesian modelling TP248.13-248.65 Algorithms Biotechnology
Zdroj:	BMC Genomics BMC Genomics, Vol 23, Iss 1, Pp 1-16 (2022)
ISSN:	1471-2164
Popis:	Background Transcriptional 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. Results We extend an alignment-based method, , 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. Conclusions The 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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::129a684eb9e65cf43878728553377da0 https://pubmed.ncbi.nlm.nih.gov/35078412 Zobrazit plný text záznamu Full text from SpringerLink