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URL: http://colt.ccbr.utoronto.ca/cancer/
Proper Citation: COLT-Cancer (RRID:SCR_006485)
Description: The COLT-Cancer database is a collection of shRNA dropout signatures profiles, covering ~16000 human genes, and derived from more than 70 Pancreatic, Ovarian and Breast human cancer cell-lines using the microarray detection platform developed in the COLT (CCBR-OICR Lentiviral Technology) facility at the Moffat Lab. All shRNA dropout profiles are freely available through download or queries via this website.
Abbreviations: COLT-Cancer
Synonyms: CCBR-OICR Lentiviral Technology Cancer, COLT-Cancer database
Resource Type: analysis service resource, data analysis service, data or information resource, database, production service resource, service resource
Defining Citation: PMID:22102578
Keywords: gene, shrna profile, shrna, functional genetics, cancer, cell line, bio.tools
Related Condition: Pancreatic cancer, Ovarian cancer, Breast cancer
Funding: Ontario Institute for Cancer Research ; Terry Fox Research Institute ; Canadian Institutes of Health Research ; Canada Foundation for Innovation ; Ontario Research Fund
Availability: Free
Resource Name: COLT-Cancer
Resource ID: SCR_006485
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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
