URL: https://github.com/aertslab/CREsted
Proper Citation: CREsted (RRID:SCR_026617)
Description: Software Python package for training sequence-based deep learning models on scATAC-seq data, for capturing enhancer code and for designing cell type-specific sequences.
Synonyms: and design, Cis-Regulatory Element sequence training, explanation
Resource Type: software resource, software toolkit, source code
Keywords: training sequence-based deep learning models, scATAC-seq data, capturing enhancer code, designing cell type-specific sequences,
Availability: Free, Available for download, Freely available
Resource Name: CREsted
Resource ID: SCR_026617
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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
