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URL: https://bioconductor.org/packages/ramr/
Proper Citation: ramr (RRID:SCR_024408)
Description: Software R package for detection of low frequency aberrant methylation events in large data sets obtained by methylation profiling using array or high-throughput bisulfite sequencing. Provides functions to visualize found aberrantly methylated regions, to generate sets of all possible regions to be used as reference sets for enrichment analysis, and to generate biologically relevant test data sets for performance evaluation of AMR/DMR search algorithms.
Synonyms: rare aberrantly methylated regions
Resource Type: data analysis software, data processing software, software application, software resource
Defining Citation: PMID:34383893
Keywords: rare aberrantly methylated regions, low frequency aberrant methylation events detection, visualize found aberrantly methylated regions,
Funding: K.G. Jebsen foundation ; Norwegian Cancer Society ; Norwegian Health Region West ; Norwegian Research Council
Availability: Free, Available for download, Freely available
Resource Name: ramr
Resource ID: SCR_024408
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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
