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URL: https://github.com/FunctionLab/sei-framework
Proper Citation: sei (RRID:SCR_022571)
Description: Web server for systematically predicting sequence regulatory activities and applying sequence information to human genetics data. Provides global map from any sequence to regulatory activities, as represented by sequence classes, and each sequence class integrates predictions for chromatin profiles like transcription factor, histone marks, and chromatin accessibility profiles across wide range of cell types.
Resource Type: software resource, web service, data access protocol
Defining Citation: PMID:35817977
Keywords: systematically predicting sequence regulatory activities, applying sequence information, human genetics data, sequence class predictions
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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 2U24DK097771-09.
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