Published December 11, 2021 | Version 1.0
Preprint Open

Single-fiber nucleosome density shapes the regulatory output of a mammalian chromatin remodeling enzyme

  • 1. Gladstone Institute for Data Science and Biotechnology, J David Gladstone Institutes, San Francisco, CA; Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA
  • 2. Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA
  • 3. University of California Santa Barbara, Santa Barbara, CA
  • 4. Department of Pediatrics, Lucille Packard Children's Hospital, Stanford University, Palo Alto, CA
  • 5. Gladstone Institute for Data Science and Biotechnology, J David Gladstone Institutes, San Francisco, CA
  • 6. Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA; Bakar Computational Health Sciences Institute, San Francisco CA
  • 7. Gladstone Institute for Data Science and Biotechnology, J David Gladstone Institutes, San Francisco, CA; Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA; Bakar Computational Health Sciences Institute, San Francisco CA

Description

Processed data from the manuscript "Single-fiber nucleosome density shapes the regulatory output of a mammalian chromatin remodeling enzyme", including predicted DNA accessibility states along each molecule, predicted nucleosome counts for each molecule, and alignments of circular consensus sequences to mm10 for mESC samples. Data are separated by the sample type. Each zipped folders also contain a readme explaining the file contents, a table with clear information on the conditions of each sample, a script to uncompress the accessibility path representations, and for the S1 and S2 molecules a reference sequence.

Files

mESC.zip

Files (18.3 GB)

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md5:a5453d010f584bbff73af11494300c24
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md5:6fe51d10e394282f53325a27c2fcdb51
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md5:c318dc7ffbbd8f3f05f61d911c5b8b33
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