Matches in SemOpenAlex for { <https://semopenalex.org/work/W3027928376> ?p ?o ?g. }
- W3027928376 endingPage "54" @default.
- W3027928376 startingPage "37" @default.
- W3027928376 abstract "Spatiotemporal control of gene expression during development requires orchestrated activities of numerous enhancers, which are cis-regulatory DNA sequences that, when bound by transcription factors, support selective activation or repression of associated genes. Proper activation of enhancers is critical during embryonic development, adult tissue homeostasis, and regeneration, and inappropriate enhancer activity is often associated with pathological conditions such as cancer. Multiple consortia [e.g., the Encyclopedia of DNA Elements (ENCODE) Consortium and National Institutes of Health Roadmap Epigenomics Mapping Consortium] and independent investigators have mapped putative regulatory regions in a large number of cell types and tissues, but the sequence determinants of cell-specific enhancers are not yet fully understood. Machine learning approaches trained on large sets of these regulatory regions can identify core transcription factor binding sites and generate quantitative predictions of enhancer activity and the impact of sequence variants on activity. Here, we review these computational methods in the context of enhancer prediction and gene regulatory network models specifying cell fate." @default.
- W3027928376 created "2020-05-29" @default.
- W3027928376 creator A5042564366 @default.
- W3027928376 creator A5046188913 @default.
- W3027928376 creator A5065787609 @default.
- W3027928376 date "2020-08-31" @default.
- W3027928376 modified "2023-09-24" @default.
- W3027928376 title "Enhancer Predictions and Genome-Wide Regulatory Circuits" @default.
- W3027928376 cites W1019830208 @default.
- W3027928376 cites W1489916230 @default.
- W3027928376 cites W1925655957 @default.
- W3027928376 cites W1964963969 @default.
- W3027928376 cites W1970452404 @default.
- W3027928376 cites W1974693181 @default.
- W3027928376 cites W1980991473 @default.
- W3027928376 cites W1981030303 @default.
- W3027928376 cites W1988581590 @default.
- W3027928376 cites W1989004527 @default.
- W3027928376 cites W1989338936 @default.
- W3027928376 cites W1991543373 @default.
- W3027928376 cites W2005986419 @default.
- W3027928376 cites W2007694108 @default.
- W3027928376 cites W2013887116 @default.
- W3027928376 cites W2019998456 @default.
- W3027928376 cites W2027607261 @default.
- W3027928376 cites W2029991507 @default.
- W3027928376 cites W2032609519 @default.
- W3027928376 cites W2033202128 @default.
- W3027928376 cites W2038404321 @default.
- W3027928376 cites W2046451925 @default.
- W3027928376 cites W2046842005 @default.
- W3027928376 cites W2071343395 @default.
- W3027928376 cites W2073727170 @default.
- W3027928376 cites W2074884450 @default.
- W3027928376 cites W2076154138 @default.
- W3027928376 cites W2078059415 @default.
- W3027928376 cites W2078119846 @default.
- W3027928376 cites W2092390808 @default.
- W3027928376 cites W2102663142 @default.
- W3027928376 cites W2116868464 @default.
- W3027928376 cites W2117757143 @default.
- W3027928376 cites W2118608526 @default.
- W3027928376 cites W2125079242 @default.
- W3027928376 cites W2134087142 @default.
- W3027928376 cites W2137175341 @default.
- W3027928376 cites W2139020188 @default.
- W3027928376 cites W2143696091 @default.
- W3027928376 cites W2144578935 @default.
- W3027928376 cites W2150111516 @default.
- W3027928376 cites W2154746182 @default.
- W3027928376 cites W2154855927 @default.
- W3027928376 cites W2159417227 @default.
- W3027928376 cites W2165459289 @default.
- W3027928376 cites W2165649312 @default.
- W3027928376 cites W2167954129 @default.
- W3027928376 cites W2168602111 @default.
- W3027928376 cites W2187181884 @default.
- W3027928376 cites W2198606573 @default.
- W3027928376 cites W2212528563 @default.
- W3027928376 cites W2259938310 @default.
- W3027928376 cites W2296709348 @default.
- W3027928376 cites W2316360588 @default.
- W3027928376 cites W2330303612 @default.
- W3027928376 cites W2333286569 @default.
- W3027928376 cites W2338148720 @default.
- W3027928376 cites W2345512687 @default.
- W3027928376 cites W2417865499 @default.
- W3027928376 cites W2433743436 @default.
- W3027928376 cites W2463708289 @default.
- W3027928376 cites W2518828632 @default.
- W3027928376 cites W2553600202 @default.
- W3027928376 cites W2581865374 @default.
- W3027928376 cites W2590982292 @default.
- W3027928376 cites W2626606138 @default.
- W3027928376 cites W2756455785 @default.
- W3027928376 cites W2837542075 @default.
- W3027928376 cites W2861348389 @default.
- W3027928376 cites W2888416393 @default.
- W3027928376 cites W2945239551 @default.
- W3027928376 cites W2946618087 @default.
- W3027928376 cites W2949423586 @default.
- W3027928376 cites W2952835495 @default.
- W3027928376 cites W2954958768 @default.
- W3027928376 cites W2956942305 @default.
- W3027928376 cites W3147833596 @default.
- W3027928376 cites W370702354 @default.
- W3027928376 doi "https://doi.org/10.1146/annurev-genom-121719-010946" @default.
- W3027928376 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7644210" @default.
- W3027928376 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32443951" @default.
- W3027928376 hasPublicationYear "2020" @default.
- W3027928376 type Work @default.
- W3027928376 sameAs 3027928376 @default.
- W3027928376 citedByCount "16" @default.
- W3027928376 countsByYear W30279283762020 @default.
- W3027928376 countsByYear W30279283762021 @default.
- W3027928376 countsByYear W30279283762022 @default.
- W3027928376 countsByYear W30279283762023 @default.
- W3027928376 crossrefType "journal-article" @default.