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  Predicting functions of putative fungal sesquiterpene synthase genes based on multiomics data analysis

Nosenko, T., Zimmer, I., Ghirardo, A., Köllner, T. G., Weber, B., Polle, A., et al. (2023). Predicting functions of putative fungal sesquiterpene synthase genes based on multiomics data analysis. Fungal Genetics and Biology, 165: 103779. doi:10.1016/j.fgb.2023.103779.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-7E2B-8 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-CD15-6
Genre: Journal Article

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SOC143.pdf (Publisher version), 5MB
 
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 Creators:
Nosenko, Tetyana, Author
Zimmer, Ina, Author
Ghirardo, Andrea, Author
Köllner, Tobias G.1, Author           
Weber, Baris, Author
Polle, Andrea, Author
Rosenkranz, Maaria, Author
Schnitzler, Jörg-Peter, Author
Affiliations:
1Department of Natural Product Biosynthesis, Prof. Dr. Sarah O'Connor, MPI for Chemical Ecology, Max Planck Society, ou_3011808              

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 Dates: 2023-01-232023-03
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: SOC143
DOI: 10.1016/j.fgb.2023.103779
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Title: Fungal Genetics and Biology
  Other : Fungal Genet. Biol.
Source Genre: Journal
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Publ. Info: San Diego, CA : Academic Press
Pages: - Volume / Issue: 165 Sequence Number: 103779 Start / End Page: - Identifier: ISSN: 1087-1845
CoNE: https://pure.mpg.de/cone/journals/resource/954926962932