Results 31 to 40 of about 15,194 (208)

Test interpretation of Coccidioides duplex real-time PCR assay.

, 2021
Test interpretation of Coccidioides duplex real-time PCR assay.
Vishnu Chaturvedi (228539), Kelly L. Crucillo (11442497), Anuradha Marathe (11442494), Tanya R. Victor (11442491), Sudha Chaturvedi (228530), Ketevan Sidamonidze (3445358)   +5 more
core   +1 more source

Genetic differences between Coccidioides spp. and closely related nonpathogenic Onygenales [PDF]

, 2018
<p><strong>Abstract:  </strong><em>Coccidioides</em> spp. are dimorphic, pathogenic fungi that can cause severe human and animal disease.  Like the other primary fungal pathogens, animal infection results in a ...
Kirkland, Theo N,, Kirkland, Theo N, Kirkland, Theo N (7024988)   +2 more
core   +1 more source

The predicted probability of detecting Coccidioides with remotely sensed data.

, 2023
The predicted probability of detecting Coccidioides with remotely sensed data.
John W. Taylor (8026445), Justin Remais (373816), Robert Wagner (153616), Jennifer R. Head (3558662), Simon Campo (15910262), Liliam Montoya (13860134)   +5 more
core   +1 more source

COCCIDIOIDAL GRANULOMA. [PDF]

JAMA: The Journal of the American Medical Association, 1905
n ...
openaire   +2 more sources

Coccidioides duplex real-time PCR assay specificity.

, 2021
Genomic DNA from pathogenic fungi both closely and distantly related to Coccidioides species were tested in duplicate. A few bacterial pathogens, usually associated with common respiratory diseases, were also included in specificity panel.
Vishnu Chaturvedi (228539), Kelly L. Crucillo (11442497), Anuradha Marathe (11442494), Tanya R. Victor (11442491), Sudha Chaturvedi (228530), Ketevan Sidamonidze (3445358)   +5 more
core   +1 more source

Coccidioides Lymph Node Histopathology

, 2016
Histopathology of a murine lymph node, 9 days post infection with Coccidioides. Magnification 10XThis data is made available by the Valley Fever Center for Excellence and the University of Arizona Libraries.
Shubitz, Lisa
core   +4 more sources

Assessing the Application of a Genomic Network Analysis in Population Ecology: Inferring Patterns of Dispersal and Geographic Structure in the Emerging Pathogen, <i>Coccidioides</i>. [PDF]

Ecol Evol
Machine learning has improved upon traditional methods of identifying population structure and is more efficient at handling large, complex datasets. We demonstrate the applicability of a machine learning method to identify hierarchical population structure in an emerging pathogen, Coccidioides spp., the causative agent of Valley fever.
Lewis CD, Gorris ME, Kaufeld KA, Bartlow AW.   +3 more
europepmc   +2 more sources

The predicted probability of detecting Coccidioides using harmonic regression and spline regression.

, 2023
The predicted probability of detecting Coccidioides using harmonic regression and spline regression.
John W. Taylor (8026445), Justin Remais (373816), Robert Wagner (153616), Jennifer R. Head (3558662), Simon Campo (15910262), Liliam Montoya (13860134)   +5 more
core   +1 more source

Molecular and phenotypic description of Coccidioides Posadasii sp nov., previously recognized as the non-California population of Coccidioides immitis [PDF]

, 2002
Coccidioides posadasii sp. nov., formerly known as non-California (non-CA) Coccidioides immitis, is described. Phylogenetic analyses using single nucleotide polymorphisms, genes, and microsatellites show that C.
White TJ, Taylor JT, Fisher MC, Koenig GL   +3 more
core   +3 more sources

Immune Response to Coccidioidomycosis and the Development of a Vaccine

Microorganisms, 2017
Coccidioidomycosis is a fungal infection caused by Coccidioides posadasii and Coccidioides immitis. It is estimated that 150,000 new infections occur in the United States each year.
Natalia Castro-Lopez, Chiung-Yu Hung
doaj   +1 more source