Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Assessing the sequencing success and analytical specificity of a targeted amplicon deep sequencing workflow for genotyping the foodborne parasite Cyclospora.

Journal of clinical microbiology - 11 Jun 2025

Peterson Anna C, Jacobson David, Richins Travis, Barratt Joel, Qvarnstrom Yvonne

Abstract excerpt

Epidemiological investigations of the foodborne parasitic illness cyclosporiasis can be aided by molecular techniques that enable the identification of genetically related clusters of Cyclospora isolates. At the Centers for Disease Control and Prevention (CDC), routine Cyclospora genotyping for the purpose of informing epidemiological outbreak investigations has occurred since 2018 using clinical stool specimens...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Feces
Share to Foodborne Diseases

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genotype

Share to Genotyping Techniques

Share to High-Throughput Nucleotide Sequencing

Share to Sensitivity and Specificity

Share to Workflow

Source

Open in PubMed Open full text

Identifiers

PMID: 40366167
DOI: 10.1128/jcm.01811-24
PMCID: PMC12153321

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Assessing the sequencing success and analytical specificity of a targeted amplicon deep sequencing workflow for genotyping the foodborne parasite Cyclospora.PMID 40366167Read ↗

Investigation of US Cyclospora cayetanensis outbreaks in 2019 and evaluation of an improved Cyclospora genotyping system against 2019 cyclosporiasis outbreak clusters.Semantic proximity Read ↗

Genotyping Cyclospora cayetanensis From Multiple Outbreak Clusters With An Emphasis on a Cluster Linked to Bagged Salad Mix-United States, 2020.Semantic proximity Read ↗

Molecular typing of Cyclospora cayetanensis in produce and clinical samples using targeted enrichment of complete mitochondrial genomes and next-generation sequencing.Semantic proximity Read ↗

Mitochondrial Junction Region as Genotyping Marker for Cyclospora cayetanensisSemantic proximity Read ↗

Development of a workflow for identification of nuclear genotyping markers for Cyclospora cayetanensis.Semantic proximity Read ↗

Comparative sequence analysis of Cyclospora cayetanensis apicoplast genomes originating from diverse geographical regions.Semantic proximity Read ↗

Targeting single-nucleotide polymorphisms in the 18S rRNA gene to differentiate Cyclospora species from Eimeria species by multiplex PCR.Semantic proximity Read ↗

Multilocus Sequence Typing Tool for Cyclospora cayetanensis.Semantic proximity Read ↗

Optimizing hierarchical tree dissection parameters using historic epidemiologic data as 'ground truth'.Semantic proximity Read ↗

Genotyping genetically heterogeneous Cyclospora cayetanensis infections to complement epidemiological case linkage.Semantic proximity Read ↗

Parapipe: a Pipeline for Handling Parasite NGS Datasets and its Application to CryptosporidiumSemantic proximity Read ↗

GenomeTrakr proficiency testing for foodborne pathogen surveillance: an exercise from 2015.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.