Scott, Conor, Leadbeater, Daniel Raymond and Bruce, Neil Charles orcid.org/0000-0003-0398-2997 (2023) A Bioinformatic Workflow for in silico Secretome Prediction with the Lignocellulose Degrading Ascomycete Fungus Parascedosporium putredinis NO1. Molecular Microbiology. pp. 754-762. ISSN 0950-382X
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 The Authors. |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Biology (York) > Centre for Novel Agricultural Products (CNAP) (York) The University of York > Faculty of Sciences (York) > Biology (York) |
Depositing User: | Pure (York) |
Date Deposited: | 20 Nov 2023 15:30 |
Last Modified: | 16 Oct 2024 19:36 |
Published Version: | https://doi.org/10.1111/mmi.15144 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1111/mmi.15144 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:205569 |
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Description: Molecular Microbiology - 2023 - Scott - A bioinformatic workflow for in silico secretome prediction with the lignocellulose
Licence: CC-BY 2.5