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URL: https://github.com/dgrun/StemID
Proper Citation: StemID (RRID:SCR_017242)
Description: Algorithm for derivation of cell lineage trees based on RaceID2 results and predicts multipotent cell identites. StemID2 is algorithm for identification of lineage trees based on RaceID3 analysis. Used for better understanding of differentiation dynamics in variety of systems. Written in R computing language.
Synonyms: StemID2
Resource Type: algorithm resource, data analysis software, data processing software, software application, software resource
Defining Citation: PMID:27345837
Keywords: derivation, cell, linage, tree, predict, multipotent, identity, dynamic
Funding: DON Foundation ; Dutch Diabetes Research Foundation ; European Research Council ; Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Availability: Free, Available for download, Freely available
Resource Name: StemID
Resource ID: SCR_017242
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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
