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Accession: PRJNA735610 ID: 735610

Predicting base editing outcomes with an attention-based deep learning algorithm trained on high-throughput target library screens

Base editors are chimeric ribonucleoprotein complexes consisting of a DNA-targeting CRISPR-Cas module and a single-stranded DNA deaminase. More...
AccessionPRJNA735610
Data TypeRaw sequence reads
ScopeMultispecies
SubmissionRegistration date: 7-Jun-2021
University of Zurich
Related Resources
RelevanceMedical
Project Data:
Resource NameNumber
of Links
Sequence data
SRA Experiments166
Other datasets
BioSample166
SRA Data Details
ParameterValue
Data volume, Gbases156
Data volume, Mbytes53252

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