MAS-Seq Promotion
HiFi单细胞全长转录本测序方案,中国区客户专属优惠半价促销
——即刻洞见单细胞水平RNA多样化全长转录本信息!
三代测序单细胞全长转录本,让这一水平的可变剪切、突变、基因融合研究成为可能。
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产品订购货号: 102-659-600
产品名称: MAS-Seq for 10X Single Cell 3’
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促销截止日期:2023年06月30日
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Authors: Jacob Brandenburg, Aaron Wenger, Christine Lambert, Heather Ferrao
Jacob Brandenburg, Senior Specialist, Segment Marketing, PacBio
Long-read whole genome sequencing (WGS) for plants and animals has allowed scientists to tackle the assembly of genomes ranging in size, ploidy, and repeat content. HiFi WGS enables complete, accurate, and contiguous assemblies of even the most complex genomes. As a result, HiFi WGS has been adopted by many biodiversity genomics consortia and agriculture researchers to assemble thousands of genomes. While HiFi WGS simplifies the bioinformatics of genome assembly, library preparation remains a common challenge, especially for scientists sequencing organisms which yield low quantities of DNA or have very large genomes that require multiple libraries for a single de novo assembly. We describe a new workflow using the PacBio SMRTbell Prep Kit 3.0 that is amenable to automation while significantly reducing the time (by 50%), cost, and DNA quantity (by 40%) necessary to prepare a sequencing library. We applied the workflow to rice and fly samples and demonstrate that the assembly quality matches that of the previous, more time-consuming library prep workflows. This new workflow offers a more efficient solution for all WGS applications, regardless of organism size or complexity.
Authors: Greg Concepcion, Michelle Vierra
Greg Concepcion, Staff Engineer, Bioinformatics, PacBio
With the increasing prevalence of high-quality assembled genomes, access to the pangenomes of species is now an achievable possibility for researchers with all research budgets. However, the tools to visualize, analyze, and extract actionable information from these pangenome datasets are still in their infancy. Using a large plant pangenome dataset, we evaluated the pangenome graph builder pipeline for building a pangenome graph of the species and use these evaluations to provide basic recommendations for how to best manipulate and visualize these pangenomic datasets with other downstream tools including the vg toolkit.
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