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Proper Citation: Inferelator (RRID:SCR_000218)
Description: THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Algorithm for learning parsimonious regulatory networks from systems biology data sets de novo. Software that utilizes inference algorithm to model genetic regulatory networks.Inferelator 2.0 is scalable framework for reconstruction of dynamic regulatory network models., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Resource Type: software resource
Defining Citation: PMID:23525069, PMID:16686963, PMID:19964678
Keywords: modeling, inference algorithm, halobacterium, genetic regulatory network, learning regulatory network, model gene regulatory network
Availability: THIS RESOURCE IS NO LONGER IN SERVICE
Resource Name: Inferelator
Resource ID: SCR_000218
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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 data sets included in this resource are published in Kravitz et al, 2012. Distinct roles for direct and indirect pathway striatal neurons in reinforcement (Nat. Neurosci).
