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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Unified bursting strategies in ectopic and endogenous even-skipped expression patterns - Supplemental Data

Authors: Berrocal, Augusto; Lammers, Nicholas C; Garcia, Hernan G; Eisen, Michael B;

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

Abstract

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.

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

Keywords

Drosophila melanogaster, MS2, Embryonic Development, Transcription, even-skipped

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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