高通量测序数据中非人类序列的快速鉴定。
Rapid identification of non-human sequences in high-throughput sequencing datasets.
机构信息
Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA 94304, USA.
出版信息
Bioinformatics. 2012 Apr 15;28(8):1174-5. doi: 10.1093/bioinformatics/bts100. Epub 2012 Feb 28.
Abstract
UNLABELLED
Rapid identification of non-human sequences (RINS) is an intersection-based pathogen detection workflow that utilizes a user-provided custom reference genome set for identification of non-human sequences in deep sequencing datasets. In <2 h, RINS correctly identified the known virus in the dataset SRR73726 and is compatible with any computer capable of running the prerequisite alignment and assembly programs. RINS accurately identifies sequencing reads from intact or mutated non-human genomes in a dataset and robustly generates contigs with these non-human sequences (Supplementary Material).
AVAILABILITY
RINS is available for free download at http://khavarilab.stanford.edu/resources.html.
摘要
未标记
RINS（非人类序列快速识别）是一种基于交集的病原体检测工作流程，它利用用户提供的自定义参考基因组集来识别深度测序数据集中的非人类序列。在<2 小时内，RINS 正确识别了数据集 SRR73726 中的已知病毒，并且与能够运行前提对齐和组装程序的任何计算机兼容。RINS 能够准确识别数据集中完整或突变的非人类基因组的测序reads，并使用这些非人类序列生成稳健的 contigs（补充材料）。
可用性
RINS 可在 http://khavarilab.stanford.edu/resources.html 免费下载。
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