io.projectglow.transformers.normalizevariants
NormalizeVariantsTransformer
Companion class NormalizeVariantsTransformer
object NormalizeVariantsTransformer
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- val NORMALIZER_TRANSFORMER_NAME: String
- val REFERENCE_GENOME_PATH: String
- val REPLACE_COLUMNS: String
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def
normalizeVariants(df: DataFrame, refGenomePathString: String, replaceColumns: Boolean): DataFrame
Normalizes the input DataFrame of variants and outputs them as a Dataframe using normalize_variant expression and handles the replace_columns option
Normalizes the input DataFrame of variants and outputs them as a Dataframe using normalize_variant expression and handles the replace_columns option
- df
: Input dataframe of variants
- refGenomePathString
: Path to the underlying reference genome of the variants
- replaceColumns
: replace original columns or not
- returns
normalized DataFrame
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- def validateRefGenomeOption(refGenomePathString: Option[String]): Unit
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val
MODE_KEY: String
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normalize_variants transformer is now for normalization only. split_multiallelics transformer should be used separately for splitting multiallelics
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val
MODE_NORMALIZE: String
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normalize_variants transformer is now for normalization only. split_multiallelics transformer should be used separately for splitting multiallelics
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val
MODE_SPLIT: String
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normalize_variants transformer is now for normalization only. split_multiallelics transformer should be used separately for splitting multiallelics
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val
MODE_SPLIT_NORMALIZE: String
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- @deprecated
- Deprecated
normalize_variants transformer is now for normalization only. split_multiallelics transformer should be used separately for splitting multiallelics