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    CloVR-Comparative: Automated, cloud-enabled comparative microbial genome sequence analysis pipeline

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    Author
    Agrawal, S.
    Arze, C.
    Adkins, R.S.
    Date
    2017
    Journal
    BMC Genomics
    Publisher
    BioMed Central Ltd.
    Type
    Article
    
    Metadata
    Show full item record
    See at
    https://www.doi.org/10.1186/s12864-017-3717-3
    Abstract
    Background: The benefit of increasing genomic sequence data to the scientific community depends on easy-to-use, scalable bioinformatics support. CloVR-Comparative combines commonly used bioinformatics tools into an intuitive, automated, and cloud-enabled analysis pipeline for comparative microbial genomics. Results: CloVR-Comparative runs on annotated complete or draft genome sequences that are uploaded by the user or selected via a taxonomic tree-based user interface and downloaded from NCBI. CloVR-Comparative runs reference-free multiple whole-genome alignments to determine unique, shared and core coding sequences (CDSs) and single nucleotide polymorphisms (SNPs). Output includes short summary reports and detailed text-based results files, graphical visualizations (phylogenetic trees, circular figures), and a database file linked to the Sybil comparative genome browser. Data up- and download, pipeline configuration and monitoring, and access to Sybil are managed through CloVR-Comparative web interface. CloVR-Comparative and Sybil are distributed as part of the CloVR virtual appliance, which runs on local computers or the Amazon EC2 cloud. Representative datasets (e.g. 40 draft and complete Escherichia coli genomes) are processed in <36h on a local desktop or at a cost of<$20 on EC2. Conclusions: CloVR-Comparative allows anybody with Internet access to run comparative genomics projects, while eliminating the need for on-site computational resources and expertise. Copyright 2017 The Author(s).
    Keyword
    Automated analysis
    Bioinformatics resource
    Cloud computing
    Comparative genomics
    Microbial genomics
    Virtual machine
    Whole-genome alignment
    Identifier to cite or link to this item
    https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018286150&doi=10.1186%2fs12864-017-3717-3&partnerID=40&md5=723ca561d35fd2335fd967b121fdc939; http://hdl.handle.net/10713/10064
    ae974a485f413a2113503eed53cd6c53
    10.1186/s12864-017-3717-3
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    UMB Open Access Articles 2017

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