ReviewmSystems2026
Navigating prokaryotic viral genome analysis from metagenomic data.
Review in mSystems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
Abstract
Viruses play crucial roles in microbial ecosystems, yet viromic analysis remains challenging due to the field's complexity and rapid evolution. This minireview supports non-specialists through the evolving landscape of viromics, focusing on the analysis of bacterial and archaeal DNA viruses from metagenomic data. We address major challenges, including viral diversity, methodological biases, and the overwhelming array of available tools and pipelines. While describing a typical viromic workflow, we provide users with background information for each of the steps from data acquisition, preprocessing, and quality control to viral characterization and common downstream analyses. The included references and resources will provide users with the information needed to confidently start their own virome analysis.
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.