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PVCbase: an integrated web resource for the PVC bacterial proteomes

Interest in the Planctomycetes-Verrucomicrobia-Chlamydiae(PVC) bacterial superphy-lum is growing within the microbiology community. These organisms do not have a specialized web resource that gathersin silicopredictions in an integrated fashion. Hence, we are providing the PVC community with PVCbase...

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Bibliographic Details
Main Authors: Bordin, Nicola (Author) , González Sánchez, Juan Carlos (Author) , Devos, Damien (Author)
Format: Article (Journal)
Language:English
Published: 24 April 2018
In: Database
Year: 2018, Volume: 2018
ISSN:1758-0463
DOI:10.1093/database/bay042
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1093/database/bay042
Verlag, lizenzpflichtig, Volltext: https://academic.oup.com/database/article/doi/10.1093/database/bay042/4985508
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Author Notes:Nicola Bordin, Juan Carlos González-Sánchez and Damien P. Devos
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Summary:Interest in the Planctomycetes-Verrucomicrobia-Chlamydiae(PVC) bacterial superphy-lum is growing within the microbiology community. These organisms do not have a specialized web resource that gathersin silicopredictions 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 acustom BLAST webserver (PVCBlast) that allows to retrieve the annotation of a hit directly from the DataTables. We display results from various predictors, encompassingmost 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.
Item Description:Gesehen am 02.04.2020
Physical Description:Online Resource
ISSN:1758-0463
DOI:10.1093/database/bay042

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