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71 results for “Next Generation DNA Sequencing”
Figure 12 from: Binh HT, Ngoc NV, Tagane S, Toyama H, Mase K, Mitsuyuki C, Strijk JS, Suyama Y, Yahara T (2018) A taxonomic study of Quercus langbianensis complex based on morphology, and DNA barcodes of classic and next generation sequences. PhytoKeys 95: 37-70. https://doi.org/10.3897/phytokeys.95.21126
Figure 12 Quercus honbaensis Binh, Tagane & Yahara. A Leafy twig B Infructescence and mature fruits, C, D Side view and base view of the cupule, respectively, E. Inside of cupule, F. Nut. Materials: A–F from Toyama et al. V1378.
Figure 6 from: Binh HT, Ngoc NV, Tagane S, Toyama H, Mase K, Mitsuyuki C, Strijk JS, Suyama Y, Yahara T (2018) A taxonomic study of Quercus langbianensis complex based on morphology, and DNA barcodes of classic and next generation sequences. PhytoKeys 95: 37-70. https://doi.org/10.3897/phytokeys.95.21126
Figure 6 Quercus baolamensis Binh & Ngoc. A Leafy twig B Abaxial side of mature leaf C Mature fruit D Inside of cupule E Nut. Materials: A–E from Ngoc et al. V3191.
Figure 2 from: Binh HT, Ngoc NV, Tagane S, Toyama H, Mase K, Mitsuyuki C, Strijk JS, Suyama Y, Yahara T (2018) A taxonomic study of Quercus langbianensis complex based on morphology, and DNA barcodes of classic and next generation sequences. PhytoKeys 95: 37-70. https://doi.org/10.3897/phytokeys.95.21126
Figure 2 Bayesian phylogeny of 29 samples of Quercus and one Trigonobalanus (outgroup) based on rbcL, matK and ITS sequences. Braches are labelled with posterior probabilities.
Figure 3 from: Binh HT, Ngoc NV, Tagane S, Toyama H, Mase K, Mitsuyuki C, Strijk JS, Suyama Y, Yahara T (2018) A taxonomic study of Quercus langbianensis complex based on morphology, and DNA barcodes of classic and next generation sequences. PhytoKeys 95: 37-70. https://doi.org/10.3897/phytokeys.95.21126
Figure 3 NJ tree of 31 samples of Quercus and one Trigonobalanus (outgroup) based on presence/absence data of 16,809 MIG-seq loci. Branches are labelled with bootstrap supports (% of 1000 replicates).
Figure 9 from: Binh HT, Ngoc NV, Tagane S, Toyama H, Mase K, Mitsuyuki C, Strijk JS, Suyama Y, Yahara T (2018) A taxonomic study of Quercus langbianensis complex based on morphology, and DNA barcodes of classic and next generation sequences. PhytoKeys 95: 37-70. https://doi.org/10.3897/phytokeys.95.21126
Figure 9 Quercus cambodiensis Hickel & A.Camus. A Leafy twig B Abaxial side of mature leaf C Infructescence and fruits D Nut E Basal scar of the nut. Materials: A–E from Tagane et al. 4302.
Figure 8 from: Binh HT, Ngoc NV, Tagane S, Toyama H, Mase K, Mitsuyuki C, Strijk JS, Suyama Y, Yahara T (2018) A taxonomic study of Quercus langbianensis complex based on morphology, and DNA barcodes of classic and next generation sequences. PhytoKeys 95: 37-70. https://doi.org/10.3897/phytokeys.95.21126
Figure 8 Quercus blaoensis A.Camus A. Branch with fruits B Young fruit C Dried specimen Materials: A–C from Toyama et al. V1366.
Figure 5 from: Binh HT, Ngoc NV, Tagane S, Toyama H, Mase K, Mitsuyuki C, Strijk JS, Suyama Y, Yahara T (2018) A taxonomic study of Quercus langbianensis complex based on morphology, and DNA barcodes of classic and next generation sequences. PhytoKeys 95: 37-70. https://doi.org/10.3897/phytokeys.95.21126
Figure 5 Quercus baniensis A.Camus. A Leafy twig B Abaxial side of mature leaf C Infructescence and young fruits D Dried specimen. Materials: A, B from Hoang T.S. & Tagane S. V6922 C, D from Tagane et al. V3089.
Data from: Advanced characterization of DNA molecules in rAAV vector preparations by single-stranded virus next-generation sequencing
Recent successful clinical trials with recombinant adeno-associated viral vectors (rAAVs) have led to a renewed interest in gene therapy. However, despite extensive developments to improve vector-manufacturing processes, undesirable DNA contaminants in rAAV preparations remain a major safety concern. Indeed, the presence of DNA fragments containing antibiotic resistance genes, wild-type AAV, and packaging cell genomes has been found in previous studies using quantitative polymerase chain reaction (qPCR) analyses. However, because qPCR only provides a partial view of the DNA molecules in rAAV preparations, we developed a method based on next-generation sequencing (NGS) to extensively characterize single-stranded DNA virus preparations (SSV-Seq). In order to validate SSV-Seq, we analyzed three rAAV vector preparations produced by transient transfection of mammalian cells. Our data were consistent with qPCR results and showed a quasi-random distribution of contaminants originating from the packaging cells genome. Finally, we found single-nucleotide variants (SNVs) along the vector genome but no evidence of large deletions. Altogether, SSV-Seq could provide a characterization of DNA contaminants and a map of the rAAV genome with unprecedented resolution and exhaustiveness. We expect SSV-Seq to pave the way for a new generation of quality controls, guiding process development toward rAAV preparations of higher potency and with improved safety profiles.
Data from: Automated size selection for short cell-free DNA fragments enriches for circulating tumor DNA and improves error correction during next generation sequencing
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Data from: PCR-Free enrichment of mitochondrial DNA from human blood and cell lines for high quality next-generation DNA sequencing
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Data from: Targeted multiplex next-generation sequencing: Advances in techniques of mitochondrial and nuclear DNA sequencing for population genomics
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Data from: Advanced characterization of DNA molecules in rAAV vector preparations by single-stranded virus next-generation sequencing
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Data from: A long PCR based approach for DNA enrichment prior to next-generation sequencing for systematic studies
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Data from: DNA barcodes from century-old type specimens using next generation sequencing
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Data from: Next-generation DNA barcoding: using next-generation sequencing to enhance and accelerate DNA barcode capture from single specimens
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Next-Generation Sequencing of Human Mitochondrial DNA (mtDNA) from Postmortem Brain and Blood
GEO Series GSE118615. Homo sapiens. 93 samples. Type: Genome variation profiling by high throughput sequencing.
Next Generation Sequencing for Genome-wide Maps of DNA Methylation, ChIP-seq and RNA-seq in Liver Cells
GEO Series GSE92328. Homo sapiens. 24 samples. Type: Expression profiling by high throughput sequencing; Methylation profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Optimized Repli-seq: An improved DNA Replication Timing Analysis by Next Generation Sequencing
GEO Series GSE196749. Homo sapiens; Mus musculus. 48 samples. Type: Other.
Next Generation Sequencing Facilitated Cerebellum DNA Methylation Analysis of Essential Tremor Patients
GEO Series GSE134426. Homo sapiens. 23 samples. Type: Methylation profiling by high throughput sequencing.
Integrating Next Generation Sequencing with Morphology Improves Prognostic and Biologic Classification of Spitz Neoplasms [DNA-Seq]
GEO Series GSE142442. Homo sapiens. 158 samples. Type: Genome variation profiling by high throughput sequencing.
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OpenNeuro
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