%0 Journal Article
%T Kelpie: generating full-length ¡®amplicons¡¯ from whole-metagenome datasets
%A David Midgley
%A Nai Tran-Dinh
%A Paul Greenfield
%J Archive of "PeerJ".
%D 2019
%R 10.7717/peerj.6174
%X 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 tools, such as Kelpie, that can accurately extract and assemble full-length sequences for defined genomic regions from whole-metagenome datasets
%K Metagenomes
%K Amplicons
%K Targeted assembly
%K Community structure
%K In-silico PCR
%U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359901/