gosling.BigWigData

class gosling.BigWigData(type=Undefined, url=Undefined, aggregation=Undefined, binSize=Undefined, column=Undefined, end=Undefined, start=Undefined, value=Undefined, **kwds)

BigWigData schema wrapper

Mapping(required=[type, url])

Attributes:

typestring

urlstring

Specify the URL address of the data file.

aggregationBinAggregate

Determine aggregation function to apply within bins. __Default__: “mean”

binSizefloat

Binning the genomic interval in tiles (unit size: 256).

columnstring

Assign a field name of the middle position of genomic intervals. __Default__: “position”

endstring

Assign a field name of the end position of genomic intervals. __Default__: “end”

startstring

Assign a field name of the start position of genomic intervals. __Default__: “start”

valuestring

Assign a field name of quantitative values. __Default__: “value”

__init__(type=Undefined, url=Undefined, aggregation=Undefined, binSize=Undefined, column=Undefined, end=Undefined, start=Undefined, value=Undefined, **kwds)

Methods

__init__([type, url, aggregation, binSize, ...])
copy([deep, ignore])	Return a copy of the object
from_dict(dct[, validate, _wrapper_classes])	Construct class from a dictionary representation
from_json(json_string[, validate])	Instantiate the object from a valid JSON string
resolve_references([schema])	Resolve references in the context of this object's schema or root schema.
to_dict([validate, ignore, context])	Return a dictionary representation of the object
to_json([validate, ignore, context, indent, ...])	Emit the JSON representation for this object as a string.
validate(instance[, schema])	Validate the instance against the class schema in the context of the rootschema.
validate_property(name, value[, schema])	Validate a property against property schema in the context of the rootschema