ReviewCurrent opinion in microbiology2008
Virogenomics: the virus-host interaction revisited.
Review in Current opinion in microbiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A meta-analysis reveals the commonalities and differences in Arabidopsis thaliana response to different viral pathogens.PloS one · 2012Pooled it
- Computational design of host transcription-factors sets whose misregulation mimics the transcriptomic effect of viral infections.Scientific reports · 2012Article
- The application of genomics to emerging zoonotic viral diseases.PLoS pathogens · 2009Review
- The key role of genomics in modern vaccine and drug design for emerging infectious diseases.PLoS genetics · 2009Review
- Virus-host interactions: from systems biology to translational research.Current opinion in microbiology · 2009Review
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
Genomics tools allow us to assess gene expression 'genome wide' providing an unprecedented view on the host-side of the virus-host interaction. The success of the application of these tools crucially depends on our ability to reduce the total information load while increasing the information density of the data collected. In addition to the advanced data analysis algorithms, gene annotation-pathway databases, and theoretical models, specifically designed sets of complementary experiments are crucial in translating the collected genomics data into palatable knowledge. A better understanding of the molecular basis of virus-host interactions will support the rational design of improved and novel intervention strategies for viral infections.
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.