CloVR: A virtual machine for automated and portable sequence analysis from the desktop using cloud computing

dc.contributor.authorAngiuoli, Samuel V
dc.contributor.authorMatalka, Malcolm
dc.contributor.authorGussman, Aaron
dc.contributor.authorGalens, Kevin
dc.contributor.authorVangala, Mahesh
dc.contributor.authorRiley, David R
dc.contributor.authorArze, Cesar
dc.contributor.authorWhite, James R
dc.contributor.authorWhite, Owen
dc.contributor.authorFricke, W Florian
dc.date.accessioned2021-11-02T13:31:13Z
dc.date.available2021-11-02T13:31:13Z
dc.date.issued2011-08-30
dc.description.abstractNext-generation sequencing technologies have decentralized sequence acquisition, increasing the demand for new bioinformatics tools that are easy to use, portable across multiple platforms, and scalable for high-throughput applications. Cloud computing platforms provide on-demand access to computing infrastructure over the Internet and can be used in combination with custom built virtual machines to distribute pre-packaged with pre-configured software. We describe the Cloud Virtual Resource, CloVR, a new desktop application for push-button automated sequence analysis that can utilize cloud computing resources. CloVR is implemented as a single portable virtual machine (VM) that provides several automated analysis pipelines for microbial genomics, including 16S, whole genome and metagenome sequence analysis. The CloVR VM runs on a personal computer, utilizes local computer resources and requires minimal installation, addressing key challenges in deploying bioinformatics workflows. In addition CloVR supports use of remote cloud computing resources to improve performance for large-scale sequence processing. In a case study, we demonstrate the use of CloVR to automatically process next-generation sequencing data on multiple cloud computing platforms. The CloVR VM and associated architecture lowers the barrier of entry for utilizing complex analysis protocols on both local single- and multi-core computers and cloud systems for high throughput data processing.en_US
dc.description.urihttps://doi.org/10.1186/1471-2105-12-356
dc.identifierhttps://doi.org/10.13016/wuzs-68c5
dc.identifier.citationAngiuoli, S.V., Matalka, M., Gussman, A. et al. CloVR: A virtual machine for automated and portable sequence analysis from the desktop using cloud computing. BMC Bioinformatics 12, 356 (2011).en_US
dc.identifier.urihttp://hdl.handle.net/1903/28087
dc.language.isoen_USen_US
dc.publisherSpringer Natureen_US
dc.relation.isAvailableAtCollege of Computer, Mathematical & Natural Sciencesen_us
dc.relation.isAvailableAtComputer Scienceen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.subjectCloud Computingen_US
dc.subjectVirtual Machineen_US
dc.subjectCloud Provideren_US
dc.subjectMaster Nodeen_US
dc.subjectCloud Computing Platformen_US
dc.titleCloVR: A virtual machine for automated and portable sequence analysis from the desktop using cloud computingen_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
1471-2105-12-356.pdf
Size:
2.72 MB
Format:
Adobe Portable Document Format
Description: