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Database: The Journal of Biological Databases and Curation
Article . 2018 . Peer-reviewed
License: CC BY
Data sources: Crossref
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PubMed Central
Article . 2018
License: CC BY
Data sources: PubMed Central
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DIGITAL.CSIC
Article . 2021
Data sources: DIGITAL.CSIC
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UCL Discovery
Article . 2018
Data sources: UCL Discovery
DBLP
Article . 2022
Data sources: DBLP
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PVCbase: an integrated web resource for the PVC bacterial proteomes

Authors: Nicola Bordin; Juan Carlos González-Sánchez; Damien P. Devos;

PVCbase: an integrated web resource for the PVC bacterial proteomes

Abstract

Interest in the Planctomycetes-Verrucomicrobia-Chlamydiae (PVC) bacterial superphylum is growing within the microbiology community. These organisms do not have a specialized web resource that gathers in silico predictions in an integrated fashion. Hence, we are providing the PVC community with PVCbase, a specialized web resource that gathers in silico predictions in an integrated fashion. PVCbase integrates protein function annotations obtained through sequence analysis and tertiary structure prediction for 39 representative PVC proteomes (PVCdb), a protein feature visualizer (Foundation) and a custom BLAST webserver (PVCBlast) that allows to retrieve the annotation of a hit directly from the DataTables. We display results from various predictors, encompassing most functional aspects, allowing users to have a more comprehensive overview of protein identities. Additionally, we illustrate how the application of PVCdb can be used to address biological questions from raw data. PVCbase is freely accessible at: www.pvcbacteria.org/pvcbase.

Countries
United Kingdom, Spain
Keywords

Internet, Planctomycetales, Bacterial Proteins, Proteome, Verrucomicrobia, Chlamydiaceae, Original Article, Web Browser, Databases, Protein

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
14
Top 10%
Average
Top 10%
31
34
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gold