research data . Dataset . 2017

Processed Read Counts From Macrophage Rna-Seq And Atac-Seq Experiments

Alasoo, Kaur; Gaffney, Daniel;
Open Access
  • Published: 25 Jan 2017
  • Publisher: Zenodo
Abstract
<p><strong>RNA-seq files:</strong></p> <ol> <li>RNA_count_matrix.txt.gz - raw read counts</li> <li>RNA_cqn_matrix.txt.gz - read counts quantile normalised with the cqn R package</li> <li>RNA_gene_metadata.txt.gz - information about the genes</li> <li>RNA_sample_metadata.txt.gz - information about the samples</li> </ol> <p><strong>ATAC-seq files:</strong></p> <ol> <li>ATAC_count_matrix.txt.gz - raw read counts</li> <li>ATAC_cqn_matrix.txt.gz - read counts quantile normalised with the cqn R package</li> <li>ATAC_peak_metadata.txt.gz - peak coordinates and other metadata</li> <li>ATAC_sample_metadata.txt.gz - sample metadata</li> <li>ATAC_consensus_peaks.gff3.gz - ...
Subjects
free text keywords: Biophysics, Biochemistry, Cell Biology, Genetics, Molecular Biology, Sociology, Developmental Biology, Inorganic Chemistry, Plant Biology, Space Science, 20199 Astronomical and Space Sciences not elsewhere classified, 69999 Biological Sciences not elsewhere classified, 80699 Information Systems not elsewhere classified, macrophage RNA-seq, information, cqn, counts quantile normalised, metadata, samples ATAC-seq files, GFF 3, GRCh 38 coordinates, ATAC-seq experiments RNA-seq files, peak coordinates, Immunology
Zenodo
Dataset . 2017
Provider: Datacite
Zenodo
Dataset . 2017
Provider: Zenodo
Zenodo
Dataset . 2017
Provider: Datacite
Zenodo
Dataset . 2017
Provider: Datacite
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