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URL: http://clovr.org/
Proper Citation: CloVR (RRID:SCR_005290)
Description: A 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.
Abbreviations: CloVR
Synonyms: CloVR - Automated Sequence Analysis from Your Desktop, Cloud Virtual Resource
Resource Type: service resource, software resource
Defining Citation: PMID:21878105
Keywords: cloud computing, next-generation sequencing
Funding: Amazon Web Services in Education Research Grants program ; National Human Genome Research Institute ; NHGRI RC2 HG005597-01; NSF 0949201
Resource Name: CloVR
Resource ID: SCR_005290
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
