CallSim:基于序列模拟的基调用评估。

ISRN bioinformatics Pub Date : 2012-12-12 eCollection Date: 2012-01-01 DOI:10.5402/2012/371718
Jarrett D Morrow, Brandon W Higgs
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引用次数: 1

摘要

下游生物学解释需要从测序数据中产生准确的碱基呼叫,特别是在罕见变异的情况下。CallSim是一个软件应用程序,为基础调用的有效性提供证据,认为是测序错误,它适用于离子激流和454数据。该算法使用蒙特卡罗方法进行序列模拟,不依赖于数据集中任何其他读取的信息。从一般读取校正和错误或变体分类的三个示例中,证明了该方法对于鲁棒小容量读取处理基校正器的有效性。具体来说,一项涉及耐多药金黄色葡萄球菌突变的研究更正了离子激流读取中的错误,说明了对错误的均聚物进行分类的能力。此外,454数据中对混合病毒种群的罕见变体的支持证明了“碱基拯救”能力。CallSim提供了关于454或离子激流系统产生的序列中基本调用有效性的证据,旨在用于动手下游处理分析。这些下游工作,虽然耗时,是准确识别罕见变异的必要步骤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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CallSim: Evaluation of Base Calls Using Sequencing Simulation.

Accurate base calls generated from sequencing data are required for downstream biological interpretation, particularly in the case of rare variants. CallSim is a software application that provides evidence for the validity of base calls believed to be sequencing errors and it is applicable to Ion Torrent and 454 data. The algorithm processes a single read using a Monte Carlo approach to sequencing simulation, not dependent upon information from any other read in the data set. Three examples from general read correction, as well as from error-or-variant classification, demonstrate its effectiveness for a robust low-volume read processing base corrector. Specifically, correction of errors in Ion Torrent reads from a study involving mutations in multidrug resistant Staphylococcus aureus illustrates an ability to classify an erroneous homopolymer call. In addition, support for a rare variant in 454 data for a mixed viral population demonstrates "base rescue" capabilities. CallSim provides evidence regarding the validity of base calls in sequences produced by 454 or Ion Torrent systems and is intended for hands-on downstream processing analysis. These downstream efforts, although time consuming, are necessary steps for accurate identification of rare variants.

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