Literature DB >> 30949684

Nano-GLADIATOR: real-time detection of copy number alterations from nanopore sequencing data.

Alberto Magi1, Davide Bolognini2, Niccoló Bartalucci3, Alessandra Mingrino2, Roberto Semeraro2, Luna Giovannini2, Stefania Bonifacio4, Daniela Parrini4, Elisabetta Pelo4, Francesco Mannelli3, Paola Guglielmelli3, Alessandro Maria Vannucchi3.   

Abstract

MOTIVATION: The past few years have seen the emergence of nanopore-based sequencing technologies which interrogate single molecule of DNA and generate reads sequentially.
RESULTS: In this paper, we demonstrate that, thanks to the sequentiality of the nanopore process, the data generated in the first tens of minutes of a typical MinION/GridION run can be exploited to resolve the alterations of a human genome at a karyotype level with a resolution in the order of tens of Mb, while the data produced in the first 6-12 h allow to obtain a resolution comparable to currently available array-based technologies, and thanks to a novel probabilistic approach are capable to predict the allelic fraction of genomic alteration with high accuracy. To exploit the unique characteristics of nanopore sequencing data we developed a novel software tool, Nano-GLADIATOR, that is capable to perform copy number variants/alterations detection and allelic fraction prediction during the sequencing run ('On-line' mode) and after experiment completion ('Off-line' mode). We tested Nano-GLADIATOR on publicly available ('Off-line' mode) and on novel whole genome sequencing dataset generated with MinION device ('On-line' mode) showing that our tool is capable to perform real-time copy number alterations detection obtaining good results with respect to other state-of-the-art tools.
AVAILABILITY AND IMPLEMENTATION: Nano-GLADIATOR is freely available at https://sourceforge.net/projects/nanogladiator/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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Year:  2019        PMID: 30949684     DOI: 10.1093/bioinformatics/btz241

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  2 in total

1.  Nanopore sequencing from liquid biopsy: analysis of copy number variations from cell-free DNA of lung cancer patients.

Authors:  Filippo Martignano; Uday Munagala; Stefania Crucitta; Alessandra Mingrino; Roberto Semeraro; Marzia Del Re; Iacopo Petrini; Alberto Magi; Silvestro G Conticello
Journal:  Mol Cancer       Date:  2021-02-12       Impact factor: 27.401

2.  Probability distribution of copy number alterations along the genome: an algorithm to distinguish different tumour profiles.

Authors:  Luísa Esteves; Francisco Caramelo; Ilda Patrícia Ribeiro; Isabel M Carreira; Joana Barbosa de Melo
Journal:  Sci Rep       Date:  2020-09-10       Impact factor: 4.379

  2 in total

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