Predicting provenance of forensic soil samples: linking soil to ecological habitats by metabarcoding and supervised classification

Camilla Fløjgaard; Tobias Guldberg Frøslev; Ane Kirstine Brunbjerg; Hans Henrik Bruun; Jesper Moeslund; Anders Johannes Hansen; Rasmus Ejrnæs

doi:10.1371/journal.pone.0202844

Predicting provenance of forensic soil samples: linking soil to ecological habitats by metabarcoding and supervised classification

Camilla Fløjgaard, Tobias Guldberg Frøslev, Ane Kirstine Brunbjerg, Hans Henrik Bruun, Jesper Moeslund, Anders Johannes Hansen, Rasmus Ejrnæs

Ecology and Evolution

13 Citations (Scopus)

55 Downloads (Pure)

Original language	English
Article number	e0202844
Journal	PLoS ONE
Volume	14
Issue number	7
Number of pages	16
ISSN	1932-6203
DOIs	https://doi.org/10.1371/journal.pone.0202844
Publication status	Published - 1 Jul 2019

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10.1371/journal.pone.0202844Licence: CC BY

Predicting provenance of forensic soil samplesFinal published version, 2.46 MBLicence: CC BY

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title = "Predicting provenance of forensic soil samples: linking soil to ecological habitats by metabarcoding and supervised classification",

author = "Camilla Fl{\o}jgaard and Fr{\o}slev, {Tobias Guldberg} and Brunbjerg, {Ane Kirstine} and Bruun, {Hans Henrik} and Jesper Moeslund and Hansen, {Anders Johannes} and Rasmus Ejrn{\ae}s",

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AU - Fløjgaard, Camilla

AU - Frøslev, Tobias Guldberg

AU - Brunbjerg, Ane Kirstine

AU - Bruun, Hans Henrik

AU - Moeslund, Jesper

AU - Hansen, Anders Johannes

AU - Ejrnæs, Rasmus

PY - 2019/7/1

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DO - 10.1371/journal.pone.0202844

M3 - Journal article

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JO - PLoS Computational Biology

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Predicting provenance of forensic soil samples: linking soil to ecological habitats by metabarcoding and supervised classification

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