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URL: https://www.sciencescott.com/pyminer
Proper Citation: PyMINEr (RRID:SCR_016990)
Description: Software tool to automate cell type identification, cell type-specific pathway analyses, graph theory-based analysis of gene regulation, and detection of autocrine-paracrine signaling networks. Finds Gene and Autocrine-Paracrine Networks from Human Islet scRNA-Seq.
Resource Type: data analysis software, data processing software, software application, software resource
Defining Citation: PMID:30759402
Keywords: automate, cell, type, identification, pathway, analysis, gene, regulation, autocrine, paracrine, signaling, network, human, islet, scRNA-seq, dataset
Funding: Carver Chair in Molecular Medicine ; Fraternal Order of Eagles Diabetes Research Center ; NHLBI R24 HL123482; NIDDK R01 DK115791; NIDDK R24 DK096518; NIGMS T32 GM082729; University of Iowa Center for Gene Therapy
Availability: Free, Available for download, Freely available, Tutorial available
Resource Name: PyMINEr
Resource ID: SCR_016990
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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
Data set from Kravitz, Owen and Kretizer's 2012 paper "Optogenetic identification of striatal projection neuron subtypes during in vivo recordings."
