ArticleProteins2017
Aquerium: A web application for comparative exploration of domain-based protein occurrences on the taxonomically clustered genome tree.
Article in Proteins, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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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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Who cites it
7 citing papers in PubMed.
- Methylation-Independent Chemotaxis Systems Are the Norm for Gastric-ColonizingJournal of bacteriology · 2022Article
- RfaH May Oppose Silencing by H-NS and YmoA Proteins during Transcription Elongation.Journal of bacteriology · 2022Article
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- AnnoTree: visualization and exploration of a functionally annotated microbial tree of life.Nucleic acids research · 2019Article
- Class III Histidine Kinases: a Recently Accessorized Kinase Domain in Putative Modulators of Type IV Pilus-Based Motility.Journal of bacteriology · 2017Article
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Authors and funding
2 authors.
Funding
Abstract
Gene duplication and loss are major driving forces in evolution. While many important genomic resources provide information on gene presence, there is a lack of tools giving equal importance to presence and absence information as well as web platforms enabling easy visual comparison of multiple domain-based protein occurrences at once. Here, we present Aquerium, a platform for visualizing genomic presence and absence of biomolecules with a focus on protein domain architectures. The web server offers advanced domain organization querying against the database of pre-computed domains for ∼26,000 organisms and it can be utilized for identification of evolutionary events, such as fusion, disassociation, duplication, and shuffling of protein domains. The tool also allows alternative inputs of custom entries or BLASTP results for visualization. Aquerium will be a useful tool for biologists who perform comparative genomic and evolutionary analyses. The web server is freely accessible at http://aquerium.utk.edu. Proteins 2016; 85:72-77. © 2016 Wiley Periodicals, Inc.
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Registered trials
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