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SCSIM: Jointly simulating correlated single-cell and bulk next-generation DNA sequencing data.
BMC Bioinformatics ( IF 3 ) Pub Date : 2020-05-26 , DOI: 10.1186/s12859-020-03550-1
Collin Giguere 1 , Harsh Vardhan Dubey 1 , Vishal Kumar Sarsani 1 , Hachem Saddiki 2 , Shai He 1 , Patrick Flaherty 1
Affiliation  

Recently, it has become possible to collect next-generation DNA sequencing data sets that are composed of multiple samples from multiple biological units where each of these samples may be from a single cell or bulk tissue. Yet, there does not yet exist a tool for simulating DNA sequencing data from such a nested sampling arrangement with single-cell and bulk samples so that developers of analysis methods can assess accuracy and precision. We have developed a tool that simulates DNA sequencing data from hierarchically grouped (correlated) samples where each sample is designated bulk or single-cell. Our tool uses a simple configuration file to define the experimental arrangement and can be integrated into software pipelines for testing of variant callers or other genomic tools. The DNA sequencing data generated by our simulator is representative of real data and integrates seamlessly with standard downstream analysis tools.

中文翻译:

SCSIM:联合模拟相关的单细胞和大量下一代DNA测序数据。

近来,收集下一代DNA测序数据集已成为可能,该数据集由来自多个生物单位的多个样品组成,这些样品中的每个样品可能来自单个细胞或大块组织。但是,还没有一种工具可以模拟这种嵌套采样安排中的单细胞样品和散装样品的DNA测序数据,以便分析方法的开发人员可以评估准确性和精密度。我们已经开发了一种工具,可以模拟来自分层分组(相关)样本的DNA测序数据,其中每个样本都指定为散装或单细胞。我们的工具使用简单的配置文件来定义实验安排,并且可以集成到软件管道中,以测试变异调用者或其他基因组工具。
更新日期:2020-05-26
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