Seth Faith

Works (5)

Updated: July 5th, 2023 15:33

2021 article

Global Patterns and Climatic Controls of Dust-Associated Microbial Communities

Chen, Y., Gebert, M. J., Faith, S. A., Dunn, R. R., Fierer, N., & Barberán, A. (2021, October 13). Microbiology Spectrum, Vol. 10.

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

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
topics (OpenAlex): Indoor Air Quality and Microbial Exposure; Allergic Rhinitis and Sensitization; Air Quality and Health Impacts
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)
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13. Climate Action (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: December 20, 2021

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

2018 article

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

Silva, D. S. B. S., Sawitzki, F. R., Scheible, M. K. R., Bailey, S. F., Alho, C. S., & Faith, S. A. (2018, August 22). Electrophoresis.

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
topics (OpenAlex): Forensic and Genetic Research; Molecular Biology Techniques and Applications; Environmental DNA in Biodiversity Studies
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)
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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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