Unknown

Dataset Information

Ultra-accurate microbial amplicon sequencing with synthetic long reads.


ABSTRACT:

Background

Out of the many pathogenic bacterial species that are known, only a fraction are readily identifiable directly from a complex microbial community using standard next generation DNA sequencing. Long-read sequencing offers the potential to identify a wider range of species and to differentiate between strains within a species, but attaining sufficient accuracy in complex metagenomes remains a challenge.

Methods

Here, we describe and analytically validate LoopSeq, a commercially available synthetic long-read (SLR) sequencing technology that generates highly accurate long reads from standard short reads.

Results

LoopSeq reads are sufficiently long and accurate to identify microbial genes and species directly from complex samples. LoopSeq perfectly recovered the

SUBMITTER: Callahan BJ 

PROVIDER: S-EPMC8179091 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature