Phage hunters: Computational strategies for finding phages in large-scale 'omics datasets.
Virus Res
; 244: 110-115, 2018 Jan 15.
Article
em En
| MEDLINE
| ID: mdl-29100906
ABSTRACT
A plethora of tools exist for identifying phage sequences in bacterial genomes, single cell amplified genomes, and host-associated and environmental metagenomes. Yet because the genetics of phages and their hosts are closely intertwined, distinguishing viral from bacterial signal remains an ongoing challenge. Further the size, quantity and fragmentary nature of modern 'omics datasets ushers in a new set of computational challenges. Here, we detail the promises and pitfalls of using currently available gene-centric or k-mer based tools for identifying prophage sequences in genomes and prophage and viral contigs in metagenomes. Each of these methods offers a unique piece of the puzzle to elucidating the intriguing signatures of phage-host coevolution.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Bacteriófagos
/
Genoma Viral
/
Genoma Bacteriano
/
Biologia Computacional
/
Prófagos
/
Metagenômica
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Idioma:
En
Revista:
Virus Res
Assunto da revista:
VIROLOGIA
Ano de publicação:
2018
Tipo de documento:
Article