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评估GeneMarker HTS在改善线粒体DNA MPS数据比对、单倍型确定和异质性评估方面的性能。

Evaluation of GeneMarker HTS for improved alignment of mtDNA MPS data, haplotype determination, and heteroplasmy assessment.

作者信息

Holland Mitchell M, Pack Erica D, McElhoe Jennifer A

机构信息

Forensic Science Program, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, 014 Thomas Building, University Park, PA 16802, United States.

Forensic Science Program, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, 014 Thomas Building, University Park, PA 16802, United States.

出版信息

Forensic Sci Int Genet. 2017 May;28:90-98. doi: 10.1016/j.fsigen.2017.01.016. Epub 2017 Feb 6.

Abstract

Existing software has not allowed for effective alignment of mitochondrial (mt) DNA sequence data generated using a massively parallel sequencing (MPS) approach, combined with the ability to perform a detailed assessment of the data. The regions of sequence that are typically difficult to align are homopolymeric stretches, isolated patterns of SNPs (single nucleotide polymorphisms), and INDELs (insertions/deletions). A custom software solution, GeneMarker HTS, was developed and evaluated to address these limitations, and to provide a user-friendly interface for forensic practitioners and others interested in mtDNA analysis of MPS data. GeneMarker HTS generates an exportable consensus mtDNA sequence that produces phylogenetically correct SNP and INDEL calls using a customizable motif-based alignment algorithm. Sequence data from 500 individuals, with various alignment asymmetries and levels of heteroplasmy, were used to assess the software. Accuracy in producing mtDNA haplotypes, the ability to correctly identify low-level heteroplasmic sequence variants, and the user-based features of the software were evaluated. Analyzed sequences yielded correct mtDNA haplotypes, and heteroplasmic variants were properly identified with minimal manual interpretation. The software offers numerous user-defined parameters for filtering the data that address the interests of researchers and practitioners, and provides multiple options for viewing and navigating through the data.

摘要

现有软件无法有效地比对使用大规模平行测序(MPS)方法生成的线粒体(mt)DNA序列数据,也无法对数据进行详细评估。通常难以比对的序列区域包括同聚物延伸、单核苷酸多态性(SNP)的孤立模式以及插入/缺失(INDEL)。开发并评估了一种定制软件解决方案GeneMarker HTS,以解决这些局限性,并为法医从业者和其他对MPS数据的mtDNA分析感兴趣的人员提供用户友好的界面。GeneMarker HTS使用可定制的基于基序的比对算法生成可导出的一致性mtDNA序列,该序列能产生系统发育上正确的SNP和INDEL调用。来自500个个体的具有各种比对不对称性和异质性水平的序列数据用于评估该软件。评估了生成mtDNA单倍型的准确性、正确识别低水平异质序列变异的能力以及该软件基于用户的功能。分析的序列产生了正确的mtDNA单倍型,并且异质变异在最少人工解读的情况下得到了正确识别。该软件提供了许多用户定义的参数来过滤数据,以满足研究人员和从业者的需求,并提供了多种查看和浏览数据的选项。

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