Machine-learning based detection of adventitious microbes in T-cell therapy cultures using long read sequencing

Strutt, JPB Natarajan, M Sin, WX Lee, E Barone, PW Wolfrum, JM Williams, RBH Rice, SA Springs, SL

Permalink

Closed Access

	Filename	Description	Size
	2022.11.03.514634v1.full.pdf	Published version	1.55 MB	Adobe PDF	View/Open

Copyright Clearance Process

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Strutt, JPB
dc.contributor.author	Natarajan, M
dc.contributor.author	Sin, WX
dc.contributor.author	Lee, E
dc.contributor.author	Barone, PW
dc.contributor.author	Wolfrum, JM
dc.contributor.author	Williams, RBH
dc.contributor.author	Rice, SA
dc.contributor.author	Springs, SL
dc.date.accessioned	2023-01-30T22:23:01Z
dc.date.available	2023-01-30T22:23:01Z
dc.date.issued	2022-11-04
dc.identifier.citation	bioRxiv, 2022
dc.identifier.uri	http://hdl.handle.net/10453/165626
dc.language	en
dc.relation.ispartof	bioRxiv
dc.relation.isbasedon	10.1101/2022.11.03.514634
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Machine-learning based detection of adventitious microbes in T-cell therapy cultures using long read sequencing
dc.type	preprint
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Strength - AIMI - Australian Institute for Microbiology & Infection
utslib.copyright.status	closed_access	*
dc.date.updated	2023-01-30T22:22:59Z

Please use this identifier to cite or link to this item: