Efam: an expanded, metaproteome-supported HMM profile database of viral protein families.

ABSTRACT:

Motivation

Viruses infect, reprogram and kill microbes, leading to profound ecosystem consequences, from elemental cycling in oceans and soils to microbiome-modulated diseases in plants and animals. Although metagenomic datasets are increasingly available, identifying viruses in them is challenging due to poor representation and annotation of viral sequences in databases.

Results

Here, we establish efam, an expanded collection of Hidden Markov Model (HMM) profiles that represent viral protein families conservatively identified from the Global Ocean Virome 2.0 dataset. This resulted in 240 311 HMM profiles, each with at least 2 protein sequences, making efam >7-fold larger than the next largest, pan-ecosystem viral HMM profile database. Adjusting the criteria for viral contig

SUBMITTER: Zayed AA 

PROVIDER: S-EPMC9502166 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature