gosling.BeddbData

class gosling.BeddbData(genomicFields=Undefined, type=Undefined, url=Undefined, exonIntervalFields=Undefined, valueFields=Undefined, **kwds)

BeddbData schema wrapper

Mapping(required=[type, url, genomicFields]) Regular BED or similar files can be pre-aggregated for the scalable data exploration. Find our more about this format at [HiGlass Docs](https://docs.higlass.io/data_preparation.html#bed-files).

Attributes:

genomicFieldsList(Mapping(required=[index, name]))

Specify the name of genomic data fields.

typestring

urlstring

Specify the URL address of the data file.

exonIntervalFieldsList([Mapping(required=[index, name]), Mapping(required=[index,

name])])

experimental

valueFieldsList(Mapping(required=[index, name, type]))

Specify the column indexes, field names, and field types.

__init__(genomicFields=Undefined, type=Undefined, url=Undefined, exonIntervalFields=Undefined, valueFields=Undefined, **kwds)

Methods

__init__([genomicFields, type, url, ...])
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