third generation long-read sequencing (Pacific Biosciences)
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Third Generation Long Read Sequencing, supplied by Pacific Biosciences, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/third-generation+long-read+sequencing/long+read+sequencing+platforms/pmc12054170-29-5-14
Average 90 stars, based on 1 article reviews
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1) Product Images from "Impact of microbiological molecular methodologies on adaptive sampling using nanopore sequencing in metagenomic studies"
Article Title: Impact of microbiological molecular methodologies on adaptive sampling using nanopore sequencing in metagenomic studies
Journal: Environmental Microbiome
doi: 10.1186/s40793-025-00704-7
Figure Legend Snippet: 16S rRNA amplicon sequencing diversity analyses between commercial DNA extraction kits. A Species-level alpha diversity of the samples from each DNA extraction kit (following rarefaction) across the dataset, represented by observed Shannon, Simpson, and Chao1 indices. Analysis between groups shown using paired t-test with Benjamini–Hochberg multiple testing correction (after testing for normality using a Shapiro-Wilks test). B Species-level principal coordinate analysis (PCoA) of the samples from each DNA extraction kit across the dataset. C Relative abundance of expected 16S rRNA gene within the ZMC for each genus, and the 16S rRNA gene amplicon relative abundances achieved using each DNA extraction kit. The genus abundance was ascertained through the use of 16S rRNA gene amplicon sequencing using the LSK112 kit
Techniques Used: Amplification, Sequencing, DNA Extraction
Figure Legend Snippet: Metagenomic comparison between ONT sequencing chemistries. Relative abundance of the number of reads mapped to each expected organism within the ZMC, from DNA extracted using the BM kit and sequenced using both the LSK109 and Q20 + LSK112 chemistries. Results are shown for whole metagenomic sequencing. Left panel shows expected genomic composition (estimated genome copy number) of each organism within the ZMC Standard
Techniques Used: Comparison, Sequencing
Figure Legend Snippet: Metagenomic assembly statistics comparison between ONT sequencing chemistries. Comparison of whole genome de novo assemblies from metagenomic sequencing of the ZMC. Genome quality is assessed based on metrics obtained using Quast and Samtools, and alignments to the Zymo Research Corporation reference genomes. A Length of aligned assemblies against respective reference assemblies (line of best fit to the data shown in black and x = y line shown as a dotted grey line). B Total length of assemblies against respective reference assemblies (line of best fit to the data shown in black and x = y line shown as a dotted grey line). C GC content (%) of the largest contig of the assemblies against that of the reference genomes (line of best fit to the data shown in black and x = y line shown as a dotted grey line). D Genome fraction (%) of the assemblies to the references. E ) N50 values of each ZMC assembly (Mb). F Number of insertions and deletions (indels) for each ZMC assembly per Mb. G Largest contig within each ZMC assembly (Mb). H ) Number of contigs within each ZMC assembly. I Base mismatches within each ZMC assembly per Mb. J Coverage of reads (percentage of bases covered) to each ZMC assembly (%). K Depth of reads (mean depth of coverage) for each ZMC assembly. Comparison between chemistries is based on a paired Wilcoxon Signed rank sum test with Benjamini–Hochberg multiple testing correction (* = < 0.05). L ) Dotplots of the assembled genomes of each expected bacterial species within the ZMC. Genomes assembled from LSK109 and LSK112 reads, aligned by divergence (dv; approximate per-base difference) between the query (reference genome) and target (genome assembled within study)
Techniques Used: Comparison, Sequencing
Figure Legend Snippet: Genome completeness for adaptive sampling enriched S. cerevisiae . Circos plot showing the mapping of reads enriched for S. cerevisiae using adaptive sampling against the reference genome to assess differences in coverage between the LSK109 and LSK112 library preparation methods. Outer track shows the reference assembly of S. cerevisiae (Accession No.: GCF_000146045.2), with the inner track showing a heatmap of GC content score calculated using bedtools nuc, and the next two inner tracks in green, the depth of reads covering each region using LSK109 or LSK112 sequencing chemistry
Techniques Used: Sampling, Sequencing
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