Literature DB >> 25461581

One chromosome, one contig: complete microbial genomes from long-read sequencing and assembly.

Sergey Koren1, Adam M Phillippy2.   

Abstract

Like a jigsaw puzzle with large pieces, a genome sequenced with long reads is easier to assemble. However, recent sequencing technologies have favored lowering per-base cost at the expense of read length. This has dramatically reduced sequencing cost, but resulted in fragmented assemblies, which negatively affect downstream analyses and hinder the creation of finished (gapless, high-quality) genomes. In contrast, emerging long-read sequencing technologies can now produce reads tens of kilobases in length, enabling the automated finishing of microbial genomes for under $1000. This promises to improve the quality of reference databases and facilitate new studies of chromosomal structure and variation. We present an overview of these new technologies and the methods used to assemble long reads into complete genomes.
Copyright © 2014 The Authors. Published by Elsevier Ltd.. All rights reserved.

Mesh:

Year:  2014        PMID: 25461581     DOI: 10.1016/j.mib.2014.11.014

Source DB:  PubMed          Journal:  Curr Opin Microbiol        ISSN: 1369-5274            Impact factor:   7.934


  160 in total

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Review 4.  A Primer on Infectious Disease Bacterial Genomics.

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Review 5.  Diversity within species: interpreting strains in microbiomes.

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Review 8.  Assuring the Quality of Next-Generation Sequencing in Clinical Microbiology and Public Health Laboratories.

Authors:  Amy S Gargis; Lisa Kalman; Ira M Lubin
Journal:  J Clin Microbiol       Date:  2016-08-10       Impact factor: 5.948

Review 9.  Implementation and Data Analysis of Tn-seq, Whole-Genome Resequencing, and Single-Molecule Real-Time Sequencing for Bacterial Genetics.

Authors:  Peter E Burby; Taylor M Nye; Jeremy W Schroeder; Lyle A Simmons
Journal:  J Bacteriol       Date:  2016-12-13       Impact factor: 3.490

10.  Assembly of long error-prone reads using de Bruijn graphs.

Authors:  Yu Lin; Jeffrey Yuan; Mikhail Kolmogorov; Max W Shen; Mark Chaisson; Pavel A Pevzner
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