Published September 30, 2020 | Version 1.0.0

Classification dataset for ENCODE-Roadmap DNase-seq peaks and Transcription Factor ChIP-seq peaks

  • 1. Stanford School of Medicine

Description

Classification dataset for machine learning on epigenomic landscapes from ENCODE and Roadmap Epigenomics. The dataset includes the original peak files (BED format) for the DNase-seq and transcription factor (TF) ChIP-seq experiments that were used to label genomic regions as positives or negatives. The DNase-seq peak files along with processing details are in the file "encode-roadmap.DNase-seq.peaks.tar.gz". The TF ChIP-seq peak files along with processing details are in the file "encode.ChIP-seq.peaks.tar.gz". The processed dataset stored in hdf5 format files along with processing details are in the file "nn.encode-roadmap.hdf5_files.tar.gz".

Files

Files (2.4 GB)

Name Size
md5:ab9f8f81d9e0680ea6690cb78289d6e2
1.2 GB Download
md5:d2af8243ec206ead6ee1787a8aeed802
581.7 MB Download
md5:fe7039e76a2f260aa106ed367c0d3ba5
597.2 MB Download

Additional details

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