Raw data on rank ordering of super-enhancers (ROSE) algorithm applied to H3K27ac ChIP-seq results in human spleen tissues using cloud virtual machines

Orlov, Alexey

Description

The datasets support the manuscript "Data on rank ordering of super-enhancers with configurable cloud virtual machines by analysis of H3K27ac ChIP-seq signals in human spleen tissues"

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.4

FAIR Score

65%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Mendeley

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Molecular Biology

Field

Biochemistry, Genetics and Molecular Biology

Domain

Life Sciences

Confidence Score

49%

Source

Scholar Data Model

Keywords

Chromatin ImmunoprecipitationEpigeneticsHigh-Throughput Sequencing

Normalization Factors

FT

53.85

CTw

1.00

MTw

1.00