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

Name: Raw data on rank ordering of super-enhancers (ROSE) algorithm applied to H3K27ac ChIP-seq results in human spleen tissues using cloud virtual machines
Creator: Natalia Orlova
Published: 2020-10-01T12:50:45.254Z
Keywords: Chromatin Immunoprecipitation, Epigenetics, High-Throughput Sequencing

Orlova, Natalia; Bogatova, Olga; Orlov, Alexey

doi:10.17632/8yc8rw78r2.1

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

Published: 1 October 2020| Version 1 | DOI: 10.17632/8yc8rw78r2.1

Contributors:

Natalia Orlova, Olga Bogatova, Alexey Orlov

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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"

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

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