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URL: https://github.com/gagneurlab/scooby/
Proper Citation: Scooby (RRID:SCR_028110)
Description: Software aplication to predict scRNA-seq coverage and scATAC-seq insertion profiles along the genome at single-cell resolution. It leverages the pre-trained multi-omics profile predictor Borzoi as a foundation model, equips it with a cell-specific decoder, and fine-tunes its sequence embeddings.
Resource Type: software application, software resource, source code
Defining Citation: PMID:41125796
Keywords: convolutional neural networks, predict RNA-seq coverage, scATAC-seq insertion profiles, Borzoi, cell-specific decoder,
Funding: European Research Council ; Gene Regulation Observatory at the Broad Institute of MIT & Harvard ; German Research Foundation ; NHGRI UM1 HG011986; NHLBI 5P01HL131477; NHLBI DP2 HL151353
Availability: Free, Available for download, Freely available
Resource Name: Scooby
Resource ID: SCR_028110
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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
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