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URL: https://cellrank.readthedocs.io/en/stable/
Proper Citation: CellRank (RRID:SCR_022827)
Description: Software package for directed single cell fate mapping in diverse scenarios, including regeneration, reprogramming and disease. Automatically detects initial, intermediate and terminal populations, predicts fate potentials and visualizes continuous gene expression trends along individual lineages. Applied to lineage traced cellular reprogramming data, predicted fate probabilities correctly recover reprogramming outcomes.
Resource Type: software resource, software toolkit
Defining Citation: PMID:35027767
Keywords: directed single cell fate mapping, detects initial, intermediate and terminal populations, gene expression trends, traced cellular reprogramming data
Funding: Bayer Foundation ; BMBF ; Helmholtz Association Initiative ; Joachim Herz Stiftung ; NCI P30 CA08748
Availability: Free, Available for download, Freely available
Resource Name: CellRank
Resource ID: SCR_022827
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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
