Models

AlphaGenome client and variant scorers.

DNA Client

models.dna_client.ModelVersion(value)	Enumeration of all available model versions.
models.dna_client.Organism(value)	Enumeration of all the available organisms.
models.dna_client.validate_sequence_length(length)	Validate that the input sequence length is supported by the model.
models.dna_client.DnaClient(*, channel[, ...])	Client for interacting with a DNA model server.

DNA Output

models.dna_output.OutputType(value)	Enumeration of all the available types of outputs.
models.dna_output.Output([atac, cage, ...])	Model outputs for a single prediction.
models.dna_output.OutputMetadata([atac, ...])	Metadata detailing the content of model output.
models.dna_output.VariantOutput(reference, ...)	Model outputs for a variant prediction.

Variant Scorers

models.variant_scorers.AggregationType(value)	Enum indicating the type of variant scorer aggregation.
models.variant_scorers.BaseVariantScorer(value)	Enum indicating the type of variant scoring.
models.variant_scorers.CenterMaskScorer(...)	Variant scorer for center mask scorers.
models.variant_scorers.ContactMapScorer()	Variant scorer for contact map scorers.
models.variant_scorers.GeneMaskLFCScorer(...)	Variant scorer for gene-mask log fold change scoring.
models.variant_scorers.GeneMaskActiveScorer(...)	Variant scorer for gene-mask active allele scoring.
models.variant_scorers.GeneMaskSplicingScorer(...)	Variant scorer for gene-mask scoring for splicing.
models.variant_scorers.PolyadenylationScorer()	Variant scorer for polyadenylation QTLs (paQTLs).
models.variant_scorers.SpliceJunctionScorer()	Variant scorer for splice junction scoring.
models.variant_scorers.get_recommended_scorers(...)	Returns the recommended variant scorers for a given organism.
models.variant_scorers.tidy_anndata(adata[, ...])	Formats an AnnData score as a tidy DataFrame.
models.variant_scorers.tidy_scores(scores[, ...])	Formats scores into a tidy (long) pandas DataFrame.