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Published October 29, 2019 | Version v2

Index and biological spectrum of accessible DNA elements in the human genome

  • 1. Altius Institute for Biomedical Sciences

Description

Data associated with the manuscript titled
"Index and biological spectrum of accessible DNA elements in the human genome"
https://doi.org/10.1101/822510

Code repositories for these data are available here:

  • https://github.com/Altius/Index
  • https://github.com/Altius/Vocabulary


Tab-separated file with DNase I Hypersensitive Site (DHS) coordinates,
including DHS summits and core regions and assignments to regulatory components.
A separate legend file describes the contents of each column in more detail.

  • DHS_Index_and_Vocabulary_hg38_WM20190703.txt.gz
  • DHS_Index_and_Vocabulary_hg19_WM20190703.txt.gz (mapped using liftOver, not ideal)
  • DHS_Index_and_Vocabulary_legend.txt

 

Metadata files describing biosample characteristics and annotations,
provided in HTML, PDF, TSV and Excel formats:

  • DHS_Index_and_Vocabulary_metadata.html
  • DHS_Index_and_Vocabulary_metadata.pdf
  • DHS_Index_and_Vocabulary_metadata.tsv
  • DHS_Index_and_Vocabulary_metadata.xlsx

 

Presence/absence matrix of DHSs (rows) versus biosamples (columns),
provided in RData, MatrixMarket and raw formats:

  • dat_bin_FDR01_hg38.RData
  • dat_bin_FDR01_hg38.mtx.gz
  • dat_bin_FDR01_hg38.txt.gz
  • dat_bin_FDR01_hg19.RData (mapped using liftOver, not ideal)
  • dat_bin_FDR01_hg19.txt.gz (mapped using liftOver, not ideal)

 

Normalized DNase-seq signal matrix of DHSs (rows) versus biosamples (columns),
provided in RData and raw formats:

  • dat_FDR01_hg38.RData
  • dat_FDR01_hg38.txt.gz

The order of DHSs (rows) is the same as in the DHS Index file(s) above,
and the order of biosamples (columns) is the same as in the metadata files.

 

Non-negative Matrix Factorization (NMF) results, decomposing the presence/absence matrix (hg38) into 16 components:

  • 2018-06-08NC16_NNDSVD_Mixture.npy.gz
  • 2018-06-08NC16_NNDSVD_Basis.npy.gz

 

Files

DHS_Index_and_Vocabulary_legend.txt

Files (2.1 GB)

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