Ultra-deep, long-read nanopore sequencing of mock microbial community standards | Zendy

Samuel M. Nicholls | Zendy; Joshua Quick | Zendy; Shuiquan Tang | Zendy; Nicholas J. Loman | Zendy

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Ultra-deep, long-read nanopore sequencing of mock microbial community standards

Author(s) -

Samuel M. Nicholls,

Joshua Quick,

Shuiquan Tang,

Nicholas J. Loman

Publication year - 2019

Publication title -

gigascience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.947

H-Index - 54

ISSN - 2047-217X

DOI - 10.1093/gigascience/giz043

Subject(s) - metagenomics , nanopore sequencing , deep sequencing , sequence assembly , computational biology , microbial population biology , illumina dye sequencing , dna sequencing , biology , nanopore , computer science , genome , data mining , genetics , gene , nanotechnology , bacteria , gene expression , materials science , transcriptome

Long sequencing reads are information-rich: aiding de novo assembly and reference mapping, and consequently have great potential for the study of microbial communities. However, the best approaches for analysis of long-read metagenomic data are unknown. Additionally, rigorous evaluation of bioinformatics tools is hindered by a lack of long-read data from validated samples with known composition.

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