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Phage hunters: Computational strategies for finding phages in large-scale 'omics datasets.
Hurwitz, Bonnie L; Ponsero, Alise; Thornton, James; U'Ren, Jana M.
Afiliação
  • Hurwitz BL; Department of Agricultural and Biosystems Engineering, University of Arizona, Tucson, AZ 85719, United States; BIO5 Research Institute, University of Arizona, Tucson, AZ 85719, United States. Electronic address: bhurwitz@email.arizona.edu.
  • Ponsero A; Department of Agricultural and Biosystems Engineering, University of Arizona, Tucson, AZ 85719, United States.
  • Thornton J; Department of Agricultural and Biosystems Engineering, University of Arizona, Tucson, AZ 85719, United States.
  • U'Ren JM; Department of Agricultural and Biosystems Engineering, University of Arizona, Tucson, AZ 85719, United States; BIO5 Research Institute, University of Arizona, Tucson, AZ 85719, United States.
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.
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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

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