Published February 10, 2023 | Version v1
Dataset Open

Unified bursting strategies in ectopic and endogenous even-skipped expression patterns - Supplemental Data

  • 1. Department of Molecular & Cell Biology, University of California at Berkeley, Berkeley, CA, United States; Department of Pharmaceutical Chemistry, University of California at San Francisco, San Francisco, CA, United States
  • 2. Biophysics Graduate Group, University of California at Berkeley, Berkeley, CA, United States; Department of Genome Sciences, University of Washington, Seattle, WA, United States
  • 3. Department of Molecular & Cell Biology, University of California at Berkeley, Berkeley, CA, United States; Biophysics Graduate Group, University of California at Berkeley, Berkeley, CA, United States; Department of Physics, University of California at Berkeley, Berkeley, CA, United States; California Institute for Quantitative Biosciences (QB3), University of California at Berkeley, Berkeley, CA, United States; Chan Zuckerberg Biohub, San Francisco, California, CA, United States
  • 4. Department of Molecular & Cell Biology, University of California at Berkeley, Berkeley, CA, United States; Biophysics Graduate Group, University of California at Berkeley, Berkeley, CA, United States; California Institute for Quantitative Biosciences (QB3), University of California at Berkeley, Berkeley, CA, United States; Howard Hughes Medical Institute, University of California at Berkeley, Berkeley, CA, United States

Description

This dataset contains the supplemental data of the article "Unified bursting strategies in ectopic and endogenous even-skipped expression patterns".

Notes

Acknowledgements This work was supported by an HHMI Investigator award to MBE. HGG was supported by the Burroughs Wellcome Fund Career Award at the Scientific Interface, the Sloan Research Foundation, the Human Frontiers Science Program, the Searle Scholars Program, the Shurl and Kay Curci Foundation, the Hellman Foundation, the NIH Director's New Innovator Award (DP2 OD024541-01), NSF CAREER Award (1652236), an NIH R01 Award (R01GM139913) and the Koret-UC Berkeley-Tel Aviv University Initiative in Computational Biology and Bioinformatics. HGG is also a Chan Zuckerberg Biohub Investigator. NCL was supported by the NIH Genomics and Computational Biology training grant 5T32HG000047-18. AB was supported by a University of California Institute for Mexico and the United States (UC MEXUS) Doctoral Fellowship.

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Is cited by
Preprint: 10.1101/2023.02.09.527927 (DOI)