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SEQ Mapper: A DNA sequence searching tool for massively parallel sequencing data
Affiliation:1. Department of Forensic Medicine, College of Medicine, National Taiwan University, No.1 Jen-Ai Road Section 1, Taipei 10051, Taiwan, ROC;2. Laboratory of Cancer Genomic Medicine, LIHPAO Life Science. CO., Ltd., 8F Med Sci & Tech Bldg, No 201, Sec 2 Shipai Rd, Taipei 11217, Taiwan, ROC;3. School of Biological Sciences, Flinders University, Adelaide 5001, Australia;1. Norwegian Institute of Public Health, Oslo, Norway;2. Department of Forensic Medicine, University of Oslo, Oslo, Norway;1. Institute of Forensic Sciences Luis Concheiro, Genomics Medicine Group, University of Santiago de Compostela, Santiago de Compostela, Spain;2. Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia;1. Department of Biomedicine & Prevention, School of Medicine, University of Rome “Tor Vergata”, Rome, Italy;2. Laboratory of Genomic Medicine, Fondazione Santa Lucia IRCCS, Rome, Italy
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.
Keywords:STR  SNP  Bioinformatics  Massively parallel sequencing  Next generation sequencing  Forensic science
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