A high-throughput screen for transcription activation domains reveals their 
sequence features and permits prediction by deep learning (Correction)

Erijman, A.; Kozlowski, L.; Sohrabi-Jahromi, S.; Fishburn, J.; Warfield, L.; Schreiber, J.; Noble, W. S.; Söding, J.; Hahn, S.

doi:10.1016/j.molcel.2020.08.013

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A high-throughput screen for transcription activation domains reveals their sequence features and permits prediction by deep learning (Correction)

Erijman, A., Kozlowski, L., Sohrabi-Jahromi, S., Fishburn, J., Warfield, L., Schreiber, J., et al. (2020). A high-throughput screen for transcription activation domains reveals their sequence features and permits prediction by deep learning (Correction). Molecular Cell, 79(6), 1066. doi:10.1016/j.molcel.2020.08.013.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0007-668F-6 Version Permalink: https://hdl.handle.net/21.11116/0000-0007-6698-B

Genre: Journal Article

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Erijman, A., Author
Kozlowski, L., Author
Sohrabi-Jahromi, S.¹, Author
Fishburn, J., Author
Warfield, L., Author
Schreiber, J., Author
Noble, W. S., Author
Söding, J.¹, Author
Hahn, S., Author

Affiliations:
1Research Group of Computational Biology, MPI for Biophysical Chemistry, Max Planck Society, ou_1933286

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Abstract: The authors discovered an error in Figure 7A of this article. In the lower panel, the blue and gray line colors were switched when making the plot. The figure has since been replaced online. The text and figure legend remain correct, and there are no changes to the conclusions of the article. The authors apologize for the error.

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Language(s): eng - English

Dates: Published Online: 2020-09-17

Publication Status: Published online

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Table of Contents: Correction to: Molecular Cell. Vol. 78 (5), 4 June 2020, Pages 890-902.e6

Rev. Type: Peer

Identifiers: DOI: 10.1016/j.molcel.2020.08.013

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Title: Molecular Cell

Source Genre: Journal

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Pages: - Volume / Issue: 79 (6) Sequence Number: - Start / End Page: 1066 Identifier: -