Literature DB >> 27543959

Next generation sequencing (NGS): a golden tool in forensic toolkit.

S M Aly1, D M Sabri.   

Abstract

The DNA analysis is a cornerstone in contemporary forensic sciences. DNA sequencing technologies are powerful tools that enrich molecular sciences in the past based on Sanger sequencing and continue to glowing these sciences based on Next generation sequencing (NGS). Next generation sequencing has excellent potential to flourish and increase the molecular applications in forensic sciences by jumping over the pitfalls of the conventional method of sequencing. The main advantages of NGS compared to conventional method that it utilizes simultaneously a large number of genetic markers with high-resolution of genetic data. These advantages will help in solving several challenges such as mixture analysis and dealing with minute degraded samples. Based on these new technologies, many markers could be examined to get important biological data such as age, geographical origins, tissue type determination, external visible traits and monozygotic twins identification. It also could get data related to microbes, insects, plants and soil which are of great medico-legal importance. Despite the dozens of forensic research involving NGS, there are requirements before using this technology routinely in forensic cases. Thus, there is a great need to more studies that address robustness of these techniques. Therefore, this work highlights the applications of forensic sciences in the era of massively parallel sequencing.

Mesh:

Year:  2015        PMID: 27543959     DOI: 10.5114/amsik.2015.61029

Source DB:  PubMed          Journal:  Arch Med Sadowej Kryminol        ISSN: 0324-8267


  7 in total

Review 1.  Promising clinical application of ctDNA in evaluating immunotherapy efficacy.

Authors:  Li Li; Jun Zhang; Xiaoyue Jiang; Qin Li
Journal:  Am J Cancer Res       Date:  2018-10-01       Impact factor: 6.166

2.  Concordance and characterization of massively parallel sequencing at 58 STRs in a Tibetan population.

Authors:  Hui Li; Cheng Zhang; Guoqing Song; Ke Ma; Yu Cao; Xueying Zhao; Qinrui Yang; Jianhui Xie
Journal:  Mol Genet Genomic Med       Date:  2021-02-25       Impact factor: 2.183

3.  Single molecule sequencing of the M13 virus genome without amplification.

Authors:  Luyang Zhao; Liwei Deng; Gailing Li; Huan Jin; Jinsen Cai; Huan Shang; Yan Li; Haomin Wu; Weibin Xu; Lidong Zeng; Renli Zhang; Huan Zhao; Ping Wu; Zhiliang Zhou; Jiao Zheng; Pierre Ezanno; Andrew X Yang; Qin Yan; Michael W Deem; Jiankui He
Journal:  PLoS One       Date:  2017-12-18       Impact factor: 3.240

Review 4.  Formalin-Fixed and Paraffin-Embedded Samples for Next Generation Sequencing: Problems and Solutions.

Authors:  Gerardo Cazzato; Concetta Caporusso; Francesca Arezzo; Antonietta Cimmino; Anna Colagrande; Vera Loizzi; Gennaro Cormio; Teresa Lettini; Eugenio Maiorano; Vincenza Sara Scarcella; Paola Tarantino; Maricla Marrone; Alessandra Stellacci; Paola Parente; Paolo Romita; Aurora De Marco; Vincenzo Venerito; Caterina Foti; Giuseppe Ingravallo; Roberta Rossi; Leonardo Resta
Journal:  Genes (Basel)       Date:  2021-09-23       Impact factor: 4.096

5.  Non-invasive prenatal paternity testing by analysis of Y-chromosome mini-STR haplotype using next-generation sequencing.

Authors:  Wenqian Song; Nan Xiao; Shihang Zhou; Weijian Yu; Ni Wang; Linnan Shao; Ying Duan; Mei Chen; Lingzi Pan; Yuexin Xia; Li Zhang; Ming Liu
Journal:  PLoS One       Date:  2022-04-01       Impact factor: 3.240

6.  High polymorphism detected by massively parallel sequencing of autosomal STRs using old blood samples from a Chinese Han population.

Authors:  Wenshen Dai; Yajiao Pan; Xiaochen Sun; Riga Wu; Luo Li; Dongming Yang
Journal:  Sci Rep       Date:  2019-12-12       Impact factor: 4.379

7.  DV200 Index for Assessing RNA Integrity in Next-Generation Sequencing.

Authors:  Takehiro Matsubara; Junichi Soh; Mizuki Morita; Takahiro Uwabo; Shuta Tomida; Toshiyoshi Fujiwara; Susumu Kanazawa; Shinichi Toyooka; Akira Hirasawa
Journal:  Biomed Res Int       Date:  2020-02-25       Impact factor: 3.411

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.