Kelpie: generating full-length 'amplicons' from whole-metagenome datasets.

ABSTRACT:

Introduction

Whole-metagenome sequencing can be a rich source of information about the structure and function of entire metagenomic communities, but getting accurate and reliable results from these datasets can be challenging. Analysis of these datasets is founded on the mapping of sequencing reads onto known genomic regions from known organisms, but short reads will often map equally well to multiple regions, and to multiple reference organisms. Assembling metagenomic datasets prior to mapping can generate much longer and more precisely mappable sequences but the presence of closely related organisms and highly conserved regions makes metagenomic assembly challenging, and some regions of particular interest can assemble poorly. One solution to these problems is to use specialised

SUBMITTER: Greenfield P 

PROVIDER: S-EPMC6359901 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature