gosling.BedData#

class gosling.BedData(indexUrl=Undefined, type=Undefined, url=Undefined, customFields=Undefined, sampleLength=Undefined, **kwds)#

BedData schema wrapper

Mapping(required=[type, url, indexUrl]) BED file format

Attributes:
indexUrlstring

Specify the URL address of the data file index.

typestring
urlstring

Specify the URL address of the data file.

customFieldsList(string)

An array of strings, where each string is the name of a non-standard field in the BED file. If there are n custom fields, we assume that the last n columns of the BED file correspond to the custom fields.

sampleLengthfloat

Specify the number of rows loaded from the URL.

__Default:__ 1000

__init__(indexUrl=Undefined, type=Undefined, url=Undefined, customFields=Undefined, sampleLength=Undefined, **kwds)#

Methods

__init__([indexUrl, 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