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Illumina Inc 16s rrna gene and fungal its amplicons
Bacterial relative abundances. Comparison of bacterial compositions derived from the combined 16S rRNA gene + <t>ITS1</t> amplicon run (MiSeq, lower panel) versus a conventional 16S rRNA gene amplicon sequencing run (HiSeq, upper panel). Cyan dots represent the per sample Pearson’s correlations between the bacterial profiles derived from the two run types
16s Rrna Gene And Fungal Its Amplicons, supplied by Illumina Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Bacterial relative abundances. Comparison of bacterial compositions derived from the combined 16S rRNA gene + <t>ITS1</t> amplicon run (MiSeq, lower panel) versus a conventional 16S rRNA gene amplicon sequencing run (HiSeq, upper panel). Cyan dots represent the per sample Pearson’s correlations between the bacterial profiles derived from the two run types
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Bacterial relative abundances. Comparison of bacterial compositions derived from the combined 16S rRNA gene + <t>ITS1</t> amplicon run (MiSeq, lower panel) versus a conventional 16S rRNA gene amplicon sequencing run (HiSeq, upper panel). Cyan dots represent the per sample Pearson’s correlations between the bacterial profiles derived from the two run types
Fungal Its Gene Markers, supplied by Illumina Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Bacterial relative abundances. Comparison of bacterial compositions derived from the combined 16S rRNA gene + <t>ITS1</t> amplicon run (MiSeq, lower panel) versus a conventional 16S rRNA gene amplicon sequencing run (HiSeq, upper panel). Cyan dots represent the per sample Pearson’s correlations between the bacterial profiles derived from the two run types
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Image Search Results


Bacterial relative abundances. Comparison of bacterial compositions derived from the combined 16S rRNA gene + ITS1 amplicon run (MiSeq, lower panel) versus a conventional 16S rRNA gene amplicon sequencing run (HiSeq, upper panel). Cyan dots represent the per sample Pearson’s correlations between the bacterial profiles derived from the two run types

Journal: Microbiome

Article Title: Metagenome-validated combined amplicon sequencing and text mining-based annotations for simultaneous profiling of bacteria and fungi: vaginal microbiota and mycobiota in healthy women

doi: 10.1186/s40168-024-01993-9

Figure Lengend Snippet: Bacterial relative abundances. Comparison of bacterial compositions derived from the combined 16S rRNA gene + ITS1 amplicon run (MiSeq, lower panel) versus a conventional 16S rRNA gene amplicon sequencing run (HiSeq, upper panel). Cyan dots represent the per sample Pearson’s correlations between the bacterial profiles derived from the two run types

Article Snippet: Previously, Kittelman et al. reported a pyrosequencing approach that combined analysis of phylogenetic marker genes for bacteria, archaea, and eukaryotic micro-organisms in ruminal samples, and Coller et al. combined 16S rRNA gene and fungal ITS1 amplicons to an Illumina MiSeq run to study soil samples [ , ].

Techniques: Comparison, Derivative Assay, Amplification, Sequencing

Comparison of the bacterial compositions derived from different runs, annotation tools and databases for a subset of 21 vaginal samples. Data from the combined 16S rRNA gene + ITS1 sequencing was annotated with the taxminer pipeline and dada2 ‘assignTaxonomy’ with the Silva and RDP databases. Shotgun metagenome data (Illumina) of the same samples was annotated with MetaPhlAn, Kraken + bracken (w/ PlusPF database) and VIRGO database as indicated on top of the panels

Journal: Microbiome

Article Title: Metagenome-validated combined amplicon sequencing and text mining-based annotations for simultaneous profiling of bacteria and fungi: vaginal microbiota and mycobiota in healthy women

doi: 10.1186/s40168-024-01993-9

Figure Lengend Snippet: Comparison of the bacterial compositions derived from different runs, annotation tools and databases for a subset of 21 vaginal samples. Data from the combined 16S rRNA gene + ITS1 sequencing was annotated with the taxminer pipeline and dada2 ‘assignTaxonomy’ with the Silva and RDP databases. Shotgun metagenome data (Illumina) of the same samples was annotated with MetaPhlAn, Kraken + bracken (w/ PlusPF database) and VIRGO database as indicated on top of the panels

Article Snippet: Previously, Kittelman et al. reported a pyrosequencing approach that combined analysis of phylogenetic marker genes for bacteria, archaea, and eukaryotic micro-organisms in ruminal samples, and Coller et al. combined 16S rRNA gene and fungal ITS1 amplicons to an Illumina MiSeq run to study soil samples [ , ].

Techniques: Comparison, Derivative Assay, Sequencing