biogeoloc 0.0.1

A python package for plotting correlations between variants and environmental factors.

biogeoloc

A python object package for storing and managing geographic information about biological samples

Installation

pip install biogeoloc

Example

1. Accession

Accession objects are used to store information about a biological sample. This information includes the sample's geographic location, the date it was collected, and any other relevant information.

There are three main information types that can be stored in an Accession object:

• Coordinates: The geographic location of the sample
• IDs: You can store different types of IDs for the sample
• passport: Information about the sample, such as the date it was collected, the collector, and any other relevant information
• phenotypic: Information about the sample's phenotype
• dataset: Information about the dataset the sample belongs to
• properties: Any other relevant information about the sample

from biogeoloc import Accession

acc = Accession('u0001', genesys_id='23412', pi_id=['PI628326', 'PI326387'], lib_id='333', latitude=12.345, longitude=23.456, dataset={'reseq': True})

2. AccessionSet

AccessionSet objects are used to store multiple Accession objects. This is useful when you have a collection of samples that you want to manage together.

from biogeoloc import AccessionSet

acc1 = Accession('xyx1', lat=1.0, lon=2.0, alt=3.0, lib_id='lib1', pi_id='pi1')
acc2 = Accession('xyx2', lat=1.0, lon=2.0, lib_id='lib2', pi_id_list=['pi2', 'pi3'], is_id_list=['is2', 'is3'])
acc3 = Accession('xyx3', is_id='is3', lib_id='lib3', pi_id='pi3')

AS = AccessionSet('test', '2020-01-01',
                    default_ID_items={'lib_id': str, 'pi_id': list, 'is_id': list})
AS.add(acc1)
AS.add(acc2)
AS.add(acc3)

AS.build_index()

uniq_id = AS.search('lib1', 'lib_id')
acc = AS.get(uniq_id)

print(vars(acc))

3. GeneSys

GeneSys objects are used to parse and store information from the Genesys database. This is useful when you want to access information about a sample from the Genesys database.

Go to GeneSys Website to download the accessions data in a zip file. Extract the zip file and use the GeneSys object to parse the data.

from biogeoloc import GeneSys

download_genesys_dir = '/path/to/downloaded/genesys/data'
sorghumGS = GeneSys()
sorghumGS.load(download_genesys_dir)
sorghumGS.build_index()

q_id = 'PI207841'
u_id = sorghumGS.search(q_id)
acc = sorghumGS.get(u_id)