Discovering viral genomes in human metagenomic data by predicting unknown protein families.
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ABSTRACT:
SUBMITTER: Barrientos-Somarribas M
PROVIDER: S-EPMC5758519 | biostudies-literature | 2018 Jan
REPOSITORIES: biostudies-literature
Publications
Discovering viral genomes in human metagenomic data by predicting unknown protein families.
Barrientos-Somarribas Mauricio M Messina David N DN Pou Christian C Lysholm Fredrik F Bjerkner Annelie A Allander Tobias T Andersson Björn B Sonnhammer Erik L L ELL
Scientific reports 20180108 1
Massive amounts of metagenomics data are currently being produced, and in all such projects a sizeable fraction of the resulting data shows no or little homology to known sequences. It is likely that this fraction contains novel viruses, but identification is challenging since they frequently lack homology to known viruses. To overcome this problem, we developed a strategy to detect ORFan protein families in shotgun metagenomics data, using similarity-based clustering and a set of filters to ext ...[more]
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