### General information

Author: Wenjing Kang
Contact e-mail: wenjing.kang@scilifelab.se
DOI: 10.17044/scilifelab.15144339
License: CC BY 4.0
This readme file was last updated: 16-08-2021

Please cite as: SciLifeLab Data Centre (2021). GHG feature profiling with multiple definitions. https://doi.org/10.17044/scilifelab.15144339

### Dataset description
This is the Supplemental Data 13 of the MapToCleave study.

This dataset is related to Figure 6E. The GHG feature is profiled based on the different definitions that are described in the method section “Identifying the presence of the GHG feature using different definitions”. The file “GHG_feature_MapToCleave.txt” shows the presence of the GHG features in the MapToCleave processed and unprocessed miRNA precursors. The file “GHG_feature_MirGeneDB.txt” shows the presence of the GHG features in MirGeneDB human miRNA precursors.

The files “in_vivo_highly_expressed_miRNA_precursor_IDs.txt” and “in_vivo_lowly_expressed_miRNA_precursor_IDs.txt” show the identity of miRNA precursors that were used to generate the plot of “in vivo expression” in the panel “miRNA processing efficiency” of Figure 6E.

The files “Chromatin_pri-miRNA_highly_processed_miRNA_precursor_IDs.txt” and “Chromatin_pri-miRNA_lowly_processed_miRNA_precursor_IDs.txt” show the identity of miRNA precursors that were used to generate the plot of “Chromatin pri-miRNA” in the panel “miRNA processing efficiency” of Figure 6E.