A Bioinformatic Workflow for in silico Secretome Prediction with the Lignocellulose Degrading Ascomycete Fungus Parascedosporium putredinis NO1

Metadata

Authors/Creators:	Scott, Conor Leadbeater, Daniel Raymond (daniel.leadbeater@york.ac.uk) Bruce, Neil Charles https://orcid.org/0000-0003-0398-2997
Copyright, Publisher and Additional Information:	© 2023 The Authors.
Dates:	Accepted: 6 August 2023 Published: 22 August 2023
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:	08 Feb 2024 00:23
Published Version:	https://doi.org/10.1111/mmi.15144
Status:	Published
Refereed:	Yes
Identification Number:	https://doi.org/10.1111/mmi.15144
Related URLs:	https://onlinelibrary.wiley.com/doi/10.1...

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Filename: Molecular_Microbiology_2023_Scott_A_bioinformatic_workflow_for_in_silico_secretome_prediction_with_the_lignocellulose.pdf

Description: Molecular Microbiology - 2023 - Scott - A bioinformatic workflow for in silico secretome prediction with the lignocellulose

Licence: CC-BY 2.5

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