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Integration of PacBio RS into Massive Parallel Sequencing and Data Analysis Pipelining at the UC Davis Genome Center

机译:UC Davis基因组中心将PacBio RS集成到大规模并行测序和数据分析流水线中

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摘要

Whole genome sequencing and genomic biology has been widely adopted in many fields of biology as next-generation sequencing technology (NGS) has rapidly improved quality, read length, and throughput to make whole genome sequencing and association studies possible in a very cost effective manner. Continued improvement and development of sample preparation protocols and data analysis tools have been significant in helping to extend genome sequencing technology to genomes that were previously difficult to sequence. Recent arrival of Pacific Biosciences RS (PacBio) contributed in furthering such opportunity by providing options for single molecule long read sequencing in real time and kinetic analysis (methylation). PacBio has been employed successfully for sequencing low complexity genomic region such as extremely high GC, long repeats, rearrangement, gene fusion, etc.In this poster we present the optimization of PacBio sample preparation that was fine-tuned to meet unique challenges of sequencing through “difficult-to-sequence” template. We discuss the integration of PacBio into the wet lab equipped with other NGS platforms and data pipelining workflow including cloud computing and robotic sample preparation at the Genome Center.UC Davis Genome Center currently operates NGS technology platforms including HiSeq, MiSeq, PacBio, and has genotyping capacity using Illumina Infinium and GoldenGate technology. UC Davis Genome Center and Bioinformatics Program provides most up-to-date genome technology and informatics support tailored for specific biological goals meeting needs for more than 80 faculty members within Genome Center and more than 200 campus and off-campus researchers.
机译:全基因组测序和基因组生物学已在生物学的许多领域中广泛采用,因为下一代测序技术(NGS)迅速提高了质量,读取长度和通量,从而使全基因组测序和关联研究以非常经济有效的方式成为可能。样品制备方案和数据分析工具的不断改进和发展对于帮助将基因组测序技术扩展到以前难以测序的基因组具有重要意义。 Pacific Biosciences RS(PacBio)的到来最近为实时和动力学分析(甲基化)单分子长读测序提供了选择,从而进一步促进了这种机会。 PacBio已成功用于测序低复杂度的基因组区域,例如极高的GC,长重复序列,重排,基因融合等。在此海报中,我们介绍了PacBio样品制备的优化方法,该方法经过微调以应对通过测序获得的独特挑战“难于排序”模板。我们在基因组中心讨论了将PacBio集成到具有其他NGS平台和数据流水线工作流程的湿实验室中的工作,包括云计算和机器人样品制备。加州大学戴维斯分校的基因组中心目前运营包括HiSeq,MiSeq,PacBio在内的NGS技术平台,并具有基因分型功能使用Illumina Infinium和GoldenGate技术实现高产能。加州大学戴维斯分校的基因组中心和生物信息学计划为特定的生物学目标提供量身定制的最新基因组技术和信息学支持,以满足基因组中心内80多名教职员工以及200多名校园和校外研究人员的需求。

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