Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/91691
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dc.contributor.authorYoung, J.-
dc.contributor.authorWeyrich, L.-
dc.contributor.authorBreen, J.-
dc.contributor.authorMacdonald, L.-
dc.contributor.authorCooper, A.-
dc.date.issued2015-
dc.identifier.citationForensic Science International, 2015; 251:22-31-
dc.identifier.issn1872-6283-
dc.identifier.issn1872-6283-
dc.identifier.urihttp://hdl.handle.net/2440/91691-
dc.description.abstractAbstract not available-
dc.description.statementofresponsibilityJennifer M. Young, Laura S. Weyrich, James Breen, Lynne M. Macdonald, Alan Cooper-
dc.language.isoen-
dc.publisherElsevier-
dc.rights©2015 Elsevier Ireland Ltd. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1016/j.forsciint.2015.03.008-
dc.subjectsoil; DNA; Forensic; Metagenomics; High-throughput; MIR-
dc.titlePredicting the origin of soil evidence: High throughput eukaryote sequencing and MIR spectroscopy applied to a crime scene scenario-
dc.typeJournal article-
dc.identifier.doi10.1016/j.forsciint.2015.03.008-
dc.relation.granthttp://purl.org/au-research/grants/arc/LP34107393-
pubs.publication-statusPublished-
dc.identifier.orcidBreen, J. [0000-0001-6184-0925]-
dc.identifier.orcidCooper, A. [0000-0002-7738-7851]-
Appears in Collections:Aurora harvest 2
Microbiology and Immunology publications

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