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Items: 6

1.

A Random-Forest Based Algorithm for Prediction of Enhancers From Histone Modifications

(Submitter supplied) Transcriptional enhancers play critical roles in regulation of gene expression, but their identification has remained a challenge. Recently, it was shown that enhancers in the mammalian genome are associated with characteristic histone modification patterns, which have been increasingly exploited for enhancer identification. However, only a limited number of histone modifications have previously been investigated for this purpose, leaving the questions answered whether there exist an optimal set of histone modifications that could improve the enhancer prediction. more...
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platforms:
GPL9115 GPL11154
3 Samples
Download data: BED
Series
Accession:
GSE37858
ID:
200037858
2.

Illumina HiSeq 2000 (Homo sapiens)

Platform
Accession:
GPL11154
ID:
100011154
3.

Illumina Genome Analyzer II (Homo sapiens)

Platform
Accession:
GPL9115
ID:
100009115
4.

ChIP_Seq_Input_IMR90

Organism:
Homo sapiens
Source name:
Lung fibroblast
Platform:
GPL11154
Series:
GSE37858
Download data: BED
Sample
Accession:
GSM929091
ID:
300929091
5.

ChIP_Seq_p300_IMR90

Organism:
Homo sapiens
Source name:
Lung fibroblast
Platform:
GPL11154
Series:
GSE37858
Download data: BED
Sample
Accession:
GSM929090
ID:
300929090
6.

ChIP_Seq_p300_H1

Organism:
Homo sapiens
Source name:
Embryonic Stem Cells
Platform:
GPL9115
Series:
GSE37858
Download data: BED
Sample
Accession:
GSM929092
ID:
300929092
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Supplemental Content

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