Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 67,594 bioRxiv papers from 298,187 authors.

High-throughput amplicon sequencing of large genomic regions represents a challenge for existing short-read technologies. Long-read technologies can in theory sequence large genomic regions, but they currently suffer from high error rates. Here, we report a high-throughput amplicon sequencing approach that combines unique molecular identifiers (UMIs) with Oxford Nanopore sequencing to generate single-molecule consensus sequences of large genomic regions. We demonstrate the approach by generating nearly 10,000 full-length ribosomal RNA (rRNA) operons of roughly 4,400 bp in length from a mock microbial community consisting of eight bacterial species using a single Oxford Nanopore MinION flowcell. The mean error rate of the consensus sequences was 0.03%, with no detectable chimeras due to a rigorous UMI-barcode filtering strategy. The simplicity and accessibility of this method paves way for widespread use of high-accuracy amplicon sequencing in a variety of genomic applications.

Download data

• Downloaded 3,324 times
• Download rankings, all-time:
  • Site-wide: 971 out of 67,594
  • In molecular biology: 22 out of 2,163
• Year to date:
  • Site-wide: 199 out of 67,594
• Since beginning of last month:
  • Site-wide: 155 out of 67,594

Altmetric data

Downloads over time

Distribution of downloads per paper, site-wide