Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure
Regulatory and coding regions of genes are shaped by evolution to control expression levels. Here, the authors use deep learning to identify rules controlling gene expression levels and suggest that all parts of the gene regulatory structure interact in this.
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2020-12-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-020-19921-4 |
| _version_ | 1818839152434610176 |
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| author | Jan Zrimec Christoph S. Börlin Filip Buric Azam Sheikh Muhammad Rhongzen Chen Verena Siewers Vilhelm Verendel Jens Nielsen Mats Töpel Aleksej Zelezniak |
| author_facet | Jan Zrimec Christoph S. Börlin Filip Buric Azam Sheikh Muhammad Rhongzen Chen Verena Siewers Vilhelm Verendel Jens Nielsen Mats Töpel Aleksej Zelezniak |
| author_sort | Jan Zrimec |
| collection | DOAJ |
| description | Regulatory and coding regions of genes are shaped by evolution to control expression levels. Here, the authors use deep learning to identify rules controlling gene expression levels and suggest that all parts of the gene regulatory structure interact in this. |
| first_indexed | 2024-12-19T03:49:45Z |
| format | Article |
| id | doaj.art-a9186003c7214e17a2d079a1c50e08ae |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-19T03:49:45Z |
| publishDate | 2020-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-a9186003c7214e17a2d079a1c50e08ae2022-12-21T20:37:02ZengNature PortfolioNature Communications2041-17232020-12-0111111610.1038/s41467-020-19921-4Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structureJan Zrimec0Christoph S. Börlin1Filip Buric2Azam Sheikh Muhammad3Rhongzen Chen4Verena Siewers5Vilhelm Verendel6Jens Nielsen7Mats Töpel8Aleksej Zelezniak9Department of Biology and Biological Engineering, Chalmers University of TechnologyDepartment of Biology and Biological Engineering, Chalmers University of TechnologyDepartment of Biology and Biological Engineering, Chalmers University of TechnologyComputer Science and Engineering, Chalmers University of TechnologyComputer Science and Engineering, Chalmers University of TechnologyDepartment of Biology and Biological Engineering, Chalmers University of TechnologyComputer Science and Engineering, Chalmers University of TechnologyDepartment of Biology and Biological Engineering, Chalmers University of TechnologyDepartment of Marine Sciences, University of GothenburgDepartment of Biology and Biological Engineering, Chalmers University of TechnologyRegulatory and coding regions of genes are shaped by evolution to control expression levels. Here, the authors use deep learning to identify rules controlling gene expression levels and suggest that all parts of the gene regulatory structure interact in this.https://doi.org/10.1038/s41467-020-19921-4 |
| spellingShingle | Jan Zrimec Christoph S. Börlin Filip Buric Azam Sheikh Muhammad Rhongzen Chen Verena Siewers Vilhelm Verendel Jens Nielsen Mats Töpel Aleksej Zelezniak Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure Nature Communications |
| title | Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure |
| title_full | Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure |
| title_fullStr | Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure |
| title_full_unstemmed | Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure |
| title_short | Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure |
| title_sort | deep learning suggests that gene expression is encoded in all parts of a co evolving interacting gene regulatory structure |
| url | https://doi.org/10.1038/s41467-020-19921-4 |
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