Julia Allwood

Works (4)

Updated: July 5th, 2023 15:34

2020 article

Global Forensic Geolocation with Deep Neural Networks

Grantham, N. S., Reich, B. J., Laber, E. B., Pacifici, K., Dunn, R. R., Fierer, N., … Faith, S. A. (2020, June 23). Journal of the Royal Statistical Society Series C (Applied Statistics).

By: N. Grantham n, B. Reich n , E. Laber n, K. Pacifici n , R. Dunn n , N. Fierer *, M. Gebert *, J. Allwood n, S. Faith n

Contributors: N. Grantham n, B. Reich n , E. Laber n, K. Pacifici n , R. Dunn n , N. Fierer *, M. Gebert *, J. Allwood n, S. Faith n

author keywords: Citizen science; Machine learning; Microbiome; Non-homogeneous Poisson process; Spatial point pattern
topics (OpenAlex): Forensic and Genetic Research; Bacterial Identification and Susceptibility Testing; Genomics and Phylogenetic Studies; Plant Pathogens and Fungal Diseases; Environmental DNA in Biodiversity Studies
TL;DR: The DeepSpace algorithm makes remarkably good point predictions; for example, when applied to the microbiomes of over 1300 dust samples collected across continental USA, more than half of geolocated predictions produced by this model fall less than 100 km from their true origin, which is a 60% reduction in error from competing geolocation methods. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries, ORCID
Added: July 6, 2020

2020 article

Use of standardized bioinformatics for the analysis of fungal DNA signatures applied to sample provenance

Allwood, J. S., Fierer, N., Dunn, R. R., Breen, M., Reich, B. J., Laber, E. B., … Faith, S. A. (2020, March 12). Forensic Science International, Vol. 310.

By: J. Allwood n, N. Fierer *, R. Dunn n , M. Breen n , B. Reich n , E. Laber n, J. Clifton n, N. Grantham n, S. Faith n

Contributors: J. Allwood n, N. Fierer *, R. Dunn n , M. Breen n , B. Reich n , E. Laber n, J. Clifton n, N. Grantham n, S. Faith n

author keywords: Forensic microbiology; Bioinformatics; Metabarcoding; Sample provenance
MeSH headings : DNA Barcoding, Taxonomic; DNA, Fungal / chemistry; Demography; Forensic Sciences; Fungi; Humans; Reference Values; Soil
topics (OpenAlex): Environmental DNA in Biodiversity Studies; Microbial Community Ecology and Physiology; Protist diversity and phylogeny
TL;DR: Investigating a small-scale approach as an adaptation of a larger metabarcoding study to develop a model for global sample provenance using fungal DNA signatures collected from dust swabs to facilitate a standardized method for consistent, reproducible sample treatment. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries, ORCID
Added: May 26, 2020

2019 article

The Future of Environmental DNA in Forensic Science

Allwood, J. S., Fierer, N., & Dunn, R. R. (2019, November 6). Applied and Environmental Microbiology, Vol. 86.

By: J. Allwood n, N. Fierer * & R. Dunn n 

author keywords: environmental DNA; forensic science; eDNA; metabarcoding; DNA sequencing
MeSH headings : Bacteria / isolation & purification; DNA Barcoding, Taxonomic; DNA, Environmental / analysis; Forensic Sciences / instrumentation; Forensic Sciences / methods; Fungi / isolation & purification; Humans; Microbiota; Plants; Soil Microbiology
topics (OpenAlex): Environmental DNA in Biodiversity Studies; Microbial Community Ecology and Physiology; Forensic and Genetic Research
TL;DR: A critical look at the current DNA-based technologies using microbiome and environmental sample sources that are focused on the generation of some investigative tools for use in forensic science and discusses the pitfalls and contentions associated with the use of these techniques. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: February 3, 2020

2017 article

Demonstration of a basic mitochondrial enrichment method to produce the complete mitochondrial genome sequence of the endangered North Atlantic right whale (Eubalaena glacialis)

Allwood, J. S., Scheible, M. K., & Faith, S. A. (2017, September 4). Conservation Genetics Resources.

By: J. Allwood n, M. Scheible n & S. Faith  n

author keywords: Mitochondrial enrichment; Eubalaena glacialis; Mitochondrial genome; Next generation sequencing; Bioinformatics
topics (OpenAlex): Marine animal studies overview; Marine Bivalve and Aquaculture Studies
TL;DR: This method simultaneously allows for efficient sequencing of the mitochondrial genome, while demonstrating quality sequence coverage that is even across the genome, which illustrates a marked improvement in sequence depth compared to that achieved when performing whole genome sequencing using a standard DNA extraction. (via Semantic Scholar)
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14. Life Below Water (OpenAlex)
Source: Web Of Science
Added: October 19, 2018

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