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URL: https://compbio.berkeley.edu/proj/strvctvre/
Proper Citation: StrVCTVRE (RRID:SCR_021776)
Description: Software tool as structural variant classifier for exonic deletions and duplications. Supervised learning method to predict pathogenicity of human genome structural variants.Used to distinguish pathogenic SVs from benign SVs that overlap exons.
Synonyms: Structural Variant Classifier Trained on Variants Rare and Exonic
Resource Type: data analysis software, data processing software, software application, software resource
Defining Citation: DOI:10.1101/2020.05.15.097048
Keywords: structural variant classifier, exonic deletions, human genome structural variants, predict pathogenicity, pathogenic SVs, benign SVs
Funding: National Science Foundation
Resource Name: StrVCTVRE
Resource ID: SCR_021776
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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
