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ZENODO
Dataset . 2021
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ZENODO
Dataset . 2021
License: CC BY
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Large-scale DNA-based phenotypic recording and deep learning enable highly accurate sequence-function mapping

Authors: Höllerer, Simon; Papaxanthos, Laetitia; Gumpinger, Anja Cathrin; Fischer, Katrin; Beisel, Christian; Borgwardt, Karsten; Benenson, Yaakov; +1 Authors

Large-scale DNA-based phenotypic recording and deep learning enable highly accurate sequence-function mapping

Abstract

Data underlying the figures in the publication “Large-scale DNA-based phenotypic recording and deep learning enable highly accurate sequence-function mapping”, published in Nat Commun, 2020, 11, 3551. https://doi.org/10.1038/s41467-020-17222-4 Table of contents: 1. Table 1; Excel file with the source data for Figs. 1d, 2c–e, 3b, d, e, 4b–f, and 5a–c, e, f and Supplementary Figs. 1b, 3a, b, 4a, b, 5, 6b, 7a, b, 9a, b, 10, 11, 12a–c, 13, 14a, b, 15d, e, 16, 17a–d, 18, and 25. 2. uASPIre-master; .zip folder with NGS code generated and used in this study 3. SAPIENs-main; .zip folder with the ML code generated and used in this study Plasmids pASPIre1, pASPIre2, and pASPIre3 are available from Addgene under identification numbers ID154842, ID154843, and ID154843, respectively. The raw NGS data for the three biological replicate experiments for the large RBS library are provided in the NCBI SRA under accession codes SAMN15215026, SAMN15215027, and SAMN15215027. The processed data sets and codes are also available under: github.com/JeschekLab/uASPIre (NGS data processing) and github.com/BorgwardtLab/SAPIENs (code for ML).

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selected citations
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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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
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