Processed data from a library analysis of base editors, a genome editing technology. The raw sequencing data (FASTQ files) are deposited under the Sequence Read Archive accession PRJNA848090. The dataset was contributed by author Alvin Hsu and is available under an Open Access license.
Use Cases
- Benchmarking base editor efficiency based on processed library analysis results
- Training machine learning models to predict editing outcomes from processed sequence data
- Analyzing the specificity and off-target effects of base editors from processed metrics
Strengths
- Raw sequencing data is publicly archived under a known accession (PRJNA848090), enabling traceability.
- Data is provided under an Open Access license, facilitating reuse.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- paperswithcode
- Collection Method
- Analyzed data from a library analysis experiment; raw FASTQ files are deposited in a public archive.