reference/10754416

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/10754416

Outgoing Links

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contentType	Journal Article\|Research Support, Non-U.S. Gov't
endingPage	1433
issn	1860-6768 1860-7314
issueIdentifier	9
pageRange	1424-1433
publicationName	Biotechnology Journal
startingPage	1424
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bibliographicCitation	Wang M, Han L, Liu S, Zhao X, Yang J, Loh SK, Sun X, Zhang C, Fang X. A Weibull statistics-based lignocellulose saccharification model and a built-in parameter accurately predict lignocellulose hydrolysis performance. Biotechnol J. 2015 Sep;10(9):1424–33. doi: 10.1002/biot.201400723. PMID: 26121186.
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date	2015-07-24-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier	https://doi.org/10.1002/biot.201400723 https://pubmed.ncbi.nlm.nih.gov/26121186
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language	English
source	https://pubmed.ncbi.nlm.nih.gov/ https://www.crossref.org/
title	A Weibull statistics‐based lignocellulose saccharification model and a built‐in parameter accurately predict lignocellulose hydrolysis performance
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Total number of triples: 50.