SEQ Mapper: A DNA sequence searching tool for massively parallel sequencing data

James Li, Bill Tseng, Liang-Kai Chang, Adrian Linacre

    Research output: Contribution to journalArticlepeer-review

    7 Citations (Scopus)

    Abstract

    The development of massively parallel sequencing (MPS) has increased greatly the scale of DNA sequencing. The analysis of massive data-files from single MPS analysis can be a major challenge if examining the data for potential polymorphic loci. To aid in the analysis of both short tandem repeat (STR) and single nucleotide polymorphisms (SNP), we have designed a new program called SEQ Mapper to search for genetic polymorphisms within a large number of reads generated by MPS. This new program has been designed to perform sequence mapping between reference data and generated reads. As a proof-of-concept, sequences derived from the allelic ladders of five STR loci and data from the amelogenin locus were used as reference data sets. Detecting and recording the polymorphic nature of each STR loci was performed using four levels of search criteria: the entire STR locus spanning the two primers; the STR region plus the two primer sequences; the STR region only; and the two primers only. All the genotypes of 5 STR loci and the amelogenin gene were identified correctly using SEQ Mapper when compared to results obtained from capillary electrophoresis based on 10 test samples in this study. SEQ Mapper is a useful tool to detect STR or SNP alleles generated by MPS in both clinical medicine and forensic genetics.

    Original languageEnglish
    Pages (from-to)66-69
    Number of pages4
    JournalForensic Science International: Genetics
    Volume26
    DOIs
    Publication statusPublished - 2016

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