Oxford Nanopore MinION Sequencing and Genome Assembly

By Hengyun Lu, Francesca Giordano, Zemin Ning. Genomics, Proteomics & Bioinformatics, 2016

765 citations recorded by the source corpus.

The revolution of genome sequencing is continuing after the successful second-generation sequencing (SGS) technology. The third-generation sequencing (TGS) technology, led by Pacific Biosciences (PacBio), is progressing rapidly, moving from a technology once only capable of providing data for small genome analysis, or for performing targeted screening, to one that promises high quality de novo assembly and structural variation detection for human-sized genomes. In 2014, the MinION, the first commercial sequencer using nanopore technology, was released by Oxford Nanopore Technologies (ONT). MinION identifies DNA bases by measuring the changes in electrical conductivity generated as DNA strands pass through a biological pore. Its portability, affordability, and speed in data production makes it suitable for real-time applications, the release of the long read sequencer MinION has thus generated much excitement and interest in the genomics community. While de novo genome assemblies can be cheaply produced from SGS data, assembly continuity is often relatively poor, due to the limited ability of short reads to handle long repeats. Assembly quality can be greatly improved by using TGS long reads, since repetitive regions can be easily expanded into using longer sequencing lengths, despite having higher error rates at the base level. The potential of nanopore sequencing has been demonstrated by various studies in genome surveillance at locations where rapid and reliable sequencing is needed, but where resources are limited.

Subfields: Molecular Biology, Plant Science

View Paper: https://www.semanticscholar.org/paper/30e66baa460edeb7b94505a376d1a1239079db66

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In Molecular Biology

1. M. Meena
2. K. Sharma
3. Hema Chandran

In Plant Science

1. K. Sharma
2. Hema Chandran
3. M. Meena

Citations in the corpus

• Microbial Biodiversity and Bioremediation Assessment Through Omics Approaches (2020, background): “The deviation in ionic current is documented on a graphic model and then elucidated for sequence identification (Jain et al., 2016; Lu et al., 2016).”