ArticleFrontiers in microbiology2014
Finding and identifying the viral needle in the metagenomic haystack: trends and challenges.
Article in Frontiers in microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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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.
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Who cites it
8 citing papers in PubMed.
- Identification of Seven Additional Genome Segments of Grapevine-Associated Jivivirus 1.Viruses · 2022Article
- Inactivation and risk control of pathogenic microorganisms in municipal sludge treatment: A review.Frontiers of environmental science & engineering · 2022Review
- The Promises and Pitfalls of Machine Learning for Detecting Viruses in Aquatic Metagenomes.Frontiers in microbiology · 2019Article
- A decade of RNA virus metagenomics is (not) enough.Virus research · 2018Review
- MetaShot: an accurate workflow for taxon classification of host-associated microbiome from shotgun metagenomic data.Bioinformatics (Oxford, England) · 2017Article
- A Role for the Intestinal Microbiota and Virome in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS)?Journal of clinical medicine · 2016Review
- Phylogenetic and Functional Substrate Specificity for Endolithic Microbial Communities in Hyper-Arid Environments.Frontiers in microbiology · 2016Article
- Deep Sequencing Analysis Reveals the Mycoviral Diversity of the Virome of an Avirulent Isolate of Rhizoctonia solani AG-2-2 IV.PloS one · 2016Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Collectively, viruses have the greatest genetic diversity on Earth, occupy extremely varied niches and are likely able to infect all living organisms. Viral infections are an important issue for human health and cause considerable economic losses when agriculturally important crops or husbandry animals are infected. The advent of metagenomics has provided a precious tool to study viruses by sampling them in natural environments and identifying the genomic composition of a sample. However, reaching a clear recognition and taxonomic assignment of the identified viruses has been hampered by the computational difficulty of these problems. In this perspective paper we examine the trends in current research for the identification of viral sequences in a metagenomic sample, pinpoint the intrinsic computational difficulties for the identification of novel viral sequences within metagenomic samples, and suggest possible avenues to overcome them.
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Registered trials
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