ArticleFrontiers in microbiology2020
Classifying the Lifestyle of Metagenomically-Derived Phages Sequences Using Alignment-Free Methods.
Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 18 citations in OpenAlex.
- Phages Shape the Transformation of Organic Matter During Composting.Microbial biotechnology · 2025Article
- ProkBERT PhaStyle: accurate phage lifestyle prediction with pretrained genomic language models.Bioinformatics advances · 2025Article
- Correlation between the gut microbiome and neurodegenerative diseases: a review of metagenomics evidence.Neural regeneration research · 2024Review
- IPEV: identification of prokaryotic and eukaryotic virus-derived sequences in virome using deep learning.GigaScience · 2024Article
- Comparative study of encoded and alignment-based methods for virus taxonomy classification.Scientific reports · 2023Article
- Inference of the Life Cycle of Environmental Phages from Genomic Signature Distances to Their Hosts.Viruses · 2023Article
- PhaTYP: predicting the lifestyle for bacteriophages using BERT.Briefings in bioinformatics · 2023Article
- Characterization ofFrontiers in microbiology · 2022Article
- DeePhage: distinguishing virulent and temperate phage-derived sequences in metavirome data with a deep learning approach.GigaScience · 2021Article
- Reads Binning Improves the Assembly of Viral Genome Sequences From Metagenomic Samples.Frontiers in microbiology · 2021Article
- VOLN27B: A New Head-Tailed Halovirus Isolated from an Underground Salt Crystal and InfectingArchaea (Vancouver, B.C.) · 2021Article
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Phages are viruses that infect bacteria. The phages can be classified into two different categories based on their lifestyles: temperate and lytic. Now, the metavirome can generate a large number of fragments from the viral genomic sequences of entire environmental community, which makes it impossible to determine their lifestyles through experiments. Thus, there is a need to development computational methods for annotating phage contigs and making prediction of their lifestyles. Alignment-based methods for classifying phage lifestyle are limited by incomplete assembled genomes and nucleotide databases. Alignment-free methods based on the frequencies of
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