Works (5)

Updated: July 5th, 2023 15:33

2021 journal article

Global Patterns and Climatic Controls of Dust-Associated Microbial Communities

MICROBIOLOGY SPECTRUM, 9(2).

By: Y. Chen*, M. Gebert*, S. Faith*, R. Dunn n, N. Fierer* & A. Barberan*

author keywords: aerobiology; allergens; climate change; dust microbiomes
MeSH headings : Aerosols / analysis; Bacteria / classification; Bacteria / genetics; Bacteria / isolation & purification; Climate; Dust / analysis; Ecosystem; Fungi / classification; Fungi / genetics; Fungi / isolation & purification; Microbiota; Phylogeny; Soil Microbiology
TL;DR: This work provides the first insight into the global determinants of dust-associated microorganisms by quantifying the environmental factors shaping bacterial and fungal community composition in 467 outdoor settled dust samples collected from 33 countries and 6 continents. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: December 20, 2021

2020 journal article

Global forensic geolocation with deep neural networks

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 69(4), 909–929.

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

author keywords: Citizen science; Machine learning; Microbiome; Non-homogeneous Poisson process; Spatial point pattern
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)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: July 6, 2020

2020 journal article

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

FORENSIC SCIENCE INTERNATIONAL, 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

author keywords: Forensic microbiology; Bioinformatics; Metabarcoding; Sample provenance
MeSH headings : DNA Barcoding, Taxonomic; DNA, Fungal / chemistry; Demography; Forensic Sciences; Fungi; Humans; Reference Values; Soil
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)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: May 26, 2020

2018 journal article

Paternity testing using massively parallel sequencing and the PowerSeq (TM) AUTO/Y system for short tandem repeat sequencing

ELECTROPHORESIS, 39(21), 2669–2673.

By: D. Silva n, F. Sawitzki*, M. Scheible n, S. Bailey n, C. Alho* & S. Faith n

author keywords: Massively parallel sequencing; Paternity testing; PowerSeq (TM) AUTO/Y system; Short tandem repeat
MeSH headings : Alleles; Brazil; DNA / genetics; DNA Fingerprinting / methods; Female; High-Throughput Nucleotide Sequencing / methods; Humans; Male; Microsatellite Repeats; Paternity; Sequence Analysis, DNA / methods
TL;DR: Advantages of implementing sequence‐based analysis, MPS, in paternity testing with improved statistical calculations and a greater resolution for the trios/families tested are shown. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: December 3, 2018

2016 journal article

Sequence variation of 22 autosomal STR loci detected by next generation sequencing

Forensic Science International-Genetics, 21, 15–21.

By: K. Gettings, K. Kiesler, S. Faith, E. Montano, C. Baker, B. Young, R. Guerrieri, P. Vallone

Source: NC State University Libraries
Added: August 6, 2018

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