ArticleVirology2013
Metadata-driven comparative analysis tool for sequences (meta-CATS): an automated process for identifying significant sequence variations that correlate with virus attributes.
Article in Virology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
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.
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
31 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.
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- Association of disease severity and genetic variation during primary Respiratory Syncytial Virus infections.BMC medical genomics · 2024Article
- Genomic Analyses of Major SARS-CoV-2 Variants Predicting Multiple Regions of Pathogenic and Transmissive Importance.Viruses · 2024Article
- A comparative genomic approach to decipher the mutations associated with Nipah viral human isolates from southeast Asia.Iranian journal of microbiology · 2024Article
- Monolithic affinity columns in 3D printed microfluidics for chikungunya RNA detection.Analytical and bioanalytical chemistry · 2023Article
- Evaluation of the Function of ASFV Gene E66L in the Process of Virus Replication and Virulence in Swine.Viruses · 2023Article
- Introducing the Bacterial and Viral Bioinformatics Resource Center (BV-BRC): a resource combining PATRIC, IRD and ViPR.Nucleic acids research · 2023Article
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- A Hepatitis C virus genotype 1b post-transplant isolate with high replication efficiency in cell culture and its adaptation to infectious virus production in vitro and in vivo.PLoS pathogens · 2022Article
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- Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis.Communications biology · 2021Article
- Susceptibility of Chickens to Low Pathogenic Avian Influenza (LPAI) Viruses of Wild Bird- and Poultry-Associated Subtypes.Viruses · 2019Article
- Natural Vertical Transmission of Zika Virus in Larval Aedes aegypti Populations, Morelos, Mexico.Emerging infectious diseases · 2019Article
- Optimization of qRT-PCR assay for zika virus detection in human serum and urine.Virus research · 2019Article
- Novel Molecular Signatures of Chikungunya Virus in Puerto Rico.Puerto Rico health sciences journal · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 6 institutions in 1 country.
Funding
Abstract
The Virus Pathogen Resource (ViPR; www.viprbrc.org) and Influenza Research Database (IRD; www.fludb.org) have developed a metadata-driven Comparative Analysis Tool for Sequences (meta-CATS), which performs statistical comparative analyses of nucleotide and amino acid sequence data to identify correlations between sequence variations and virus attributes (metadata). Meta-CATS guides users through: selecting a set of nucleotide or protein sequences; dividing them into multiple groups based on any associated metadata attribute (e.g. isolation location, host species); performing a statistical test at each aligned position; and identifying all residues that significantly differ between the groups. As proofs of concept, we have used meta-CATS to identify sequence biomarkers associated with dengue viruses isolated from different hemispheres, and to identify variations in the NS1 protein that are unique to each of the 4 dengue serotypes. Meta-CATS is made freely available to virology researchers to identify genotype-phenotype correlations for development of improved vaccines, diagnostics, and therapeutics.
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.