2015
DOI: 10.1093/nar/gkv962
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PlantDHS: a database for DNase I hypersensitive sites in plants

Abstract: Gene expression is regulated by orchestrated binding of regulatory proteins to promoters and other cis-regulatory DNA elements (CREs). Several plant databases have been developed for mapping promoters or DNA motifs associated with promoters. However, there is a lack of databases that allow investigation for all CREs. Here we present PlantDHS (http://plantdhs.org), a plant DNase I hypersensitive site (DHS) database that integrates histone modification, RNA sequencing, nucleosome positioning/occupancy, transcrip… Show more

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Cited by 64 publications
(44 citation statements)
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“…Their increased JSD suggests that inaccessible regions tend to harbor more methylation polymorphisms than accessible regions. This is confirmed by a negative correlation of JSD with DNAse1- [30] and ATAC-seq [31] signal levels ( Fig. 3b, see Fig.…”
Section: Inaccessible Chromatin Accumulates Methylation Polymorphismssupporting
confidence: 61%
“…Their increased JSD suggests that inaccessible regions tend to harbor more methylation polymorphisms than accessible regions. This is confirmed by a negative correlation of JSD with DNAse1- [30] and ATAC-seq [31] signal levels ( Fig. 3b, see Fig.…”
Section: Inaccessible Chromatin Accumulates Methylation Polymorphismssupporting
confidence: 61%
“…DHS regions, DNase-Seq and MNase-Seq were obtained from PlantDHS.org (Zhang et al, 2016) . Position of the highest DNase signal in flower tissue was used to identify the DHS summit (DHSS) in each DHS region.…”
Section: Dhs Annotationmentioning
confidence: 99%
“…The X-axis is organized as in B. The Y-axis shows the average normalized MNase-seq and DNAse-seq signal from(Zhang et al, 2016) , separated by color. MNase-seq signal is proportional to the nucleosome occupancy, whereas DNase-seq signal denotes NDRs.…”
mentioning
confidence: 99%
“…for Transposase-Accessible Chromatin (ATAC-SEQ) have been employed in C3 species 88 and provided insight into the patterns of transcription factor binding associated with 89 development (Zhang et al, 2012a;Pajoro et al, 2014;Zhang et al, 2012bZhang et al, , 2016, heat 90 stress (Sullivan et al, 2014) and root cell differentiation (Maher et al, 2017). By carrying out 91…”
Section: Introduction 54mentioning
confidence: 99%