首页> 外文会议>IEEE International Symposium on Information Theory >Message passing algorithm for inferring consensus sequence from next-generation sequencing data
【24h】

Message passing algorithm for inferring consensus sequence from next-generation sequencing data

机译:从下一代测序数据推断共有序列的消息传递算法

获取原文

摘要

In order to determine an individual's DNA sequence, sequencing platforms often employ shotgun sequencing where multiple identical copies of the DNA strand of interest are randomly fragmented and then the nucleotide content of the short fragments is determined. Assembly of the long DNA strand from short fragments is a computationally challenging task that has attracted significant amount of attention in recent years. We formulate reference-guided assembly as the inference problem on a bipartite graph and solve it using a message-passing algorithm. The message-passing algorithm does not need to rely on the quality score information which expresses reliability of the short reads. To assess the performance of the proposed methodology, we derive an expression for the probability of error of a genie-aided MAP consensus scheme. Simulation results on a Neisseria meningitidis data set demonstrate that the proposed message-passing algorithm performs close to the idealistic MAP consensus scheme.
机译:为了确定一个人的DNA序列,测序平台经常采用散弹枪测序,将目标DNA链的多个相同拷贝随机片段化,然后确定短片段的核苷酸含量。由短片段组装长DNA链是一项计算难题,近年来引起了极大的关注。我们将参考引导的装配公式化为二部图上的推理问题,并使用消息传递算法对其进行求解。消息传递算法不需要依赖表示短读可靠性的质量得分信息。为了评估所提出方法的性能,我们导出了一个灵巧辅助MAP共识方案的错误概率表达式。在脑膜炎奈瑟氏球菌数据集上的仿真结果表明,所提出的消息传递算法的性能接近理想的MAP共识方案。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号