ReviewComputational and structural biotechnology journal2020
Computational approaches in viral ecology.
Review in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- vClassifier: a toolkit for high-resolution phylogenetic classification of prokaryotic viruses.Bioinformatics advances · 2026Article
- vir2vec: A Viral Genome-Wide Viral Embedding.bioRxiv : the preprint server for biology · 2025Article
- Significant impact of bleaching treatment on phage-host interaction dynamics in a full-scale wastewater treatment plant.Scientific reports · 2025Article
- Long-read powered viral metagenomics in the oligotrophic Sargasso Sea.Nature communications · 2024Article
- Comparative Analyses of Bacteriophage Genomes.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Phylogenomic analysis expands the known repertoire of single-stranded DNA viruses in benthic zones of the South Indian Ocean.ISME communications · 2024Article
- A novelFrontiers in microbiology · 2024Article
- Genetic diversity of virus auxiliary metabolism genes associated with phosphorus metabolism in Napahai plateau wetland.Scientific reports · 2023Article
- Characterization and comprehensive genome analysis of novel bacteriophage, vB_Kpn_ZCKp20p, with lytic and anti-biofilm potential against clinical multidrug-resistantFrontiers in cellular and infection microbiology · 2023Article
- Article
- Tracking the phage trends: A comprehensive review of applications in therapy and food production.Frontiers in microbiology · 2022Review
- An Overview on SARS-CoV-2 (COVID-19) and Other Human Coronaviruses and Their Detection Capability via Amplification Assay, Chemical Sensing, Biosensing, Immunosensing, and Clinical Assays.Nano-micro letters · 2021Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dynamic virus-host interactions play a critical role in regulating microbial community structure and function. Yet for decades prior to the genomics era, viruses were largely overlooked in microbial ecology research, as only low-throughput culture-based methods of discovering viruses were available. With the advent of metagenomics, culture-independent techniques have provided exciting opportunities to discover and study new viruses. Here, we review recently developed computational methods for identifying viral sequences, exploring viral diversity in environmental samples, and predicting hosts from metagenomic sequence data. Methods to analyze viruses
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.