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URL: https://github.com/timflutre/eqtlbma/wiki
Proper Citation: eQtlBma (RRID:SCR_003102)
Description: Software package that implements Bayesian statistical methods to detect eQTLs jointly in multiple subgroups (e.g. tissues). Key features are to borrow information across subgroups, to explicitly model heterogeneity (qualitatively and quantitatively), and to borrow information across genes to estimate hyper-parameters from the data (empirical Bayes).
Resource Type: software resource
Defining Citation: PMID:23671422
Keywords: standalone software, bio.tools
Availability: Free, Available for download, Freely available
Resource Name: eQtlBma
Resource ID: SCR_003102
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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.
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