An Python package to obtain data from the Omics Discovery Index (OmicsDI. It uses the RESTful Web Services at OmicsDI WS for that purpose.
we need to install ddipy:
pip install ddipy
This example shows how retrieve details of one dataset by using the Python package ddipy.
from ddipy.dataset_client import DatasetClient
if __name__ == '__main__':
client = DatasetClient()
res = client.get_dataset_details("pride", "PXD000210", False)
This example shows a search for all the datasets for human.
from ddipy.dataset_client import DatasetClient
if __name__ == '__main__':
client = DatasetClient()
res = client.search("cancer human", "publication_date", "ascending")
This example shows a search for all the datasets for cancer human and loop over the pagination
from ddipy.dataset_client import DatasetClient
if __name__ == '__main__':
client = DatasetClient()
res = client.search("cancer human", "publication_date", "ascending", 1200, 30, 20)
This example is a query to retrieve all the datasets that reported the UniProt protein P21399 as identified.
from ddipy.dataset_client import DatasetClient
if __name__ == '__main__':
client = DatasetClient()
res = client.search("UNIPROT:P21399")
This example is a query to find all the datasets where the gene ENSG00000147251 is reported as differentially expressed.
from ddipy.dataset_client import DatasetClient
if __name__ == '__main__':
client = DatasetClient()
res = client.search("ENSEMBL:ENSG00000147251")
This example is a query to retrieve all databases recorded in OmicsDI
from ddipy.dataset_client import DatabaseClient
if __name__ == '__main__':
client = DatabaseClient()
res = client.get_database_all()This example is retrieving JSON+LD for dataset page
from ddipy.dataset_client import SeoClient
if __name__ == '__main__':
client = SeoClient()
res = client.get_seo_dataset("pride", "PXD000210")This example is retriveing JSON+LD for home page
from ddipy.dataset_client import SeoClient
if __name__ == '__main__':
client = SeoClient()
res = client.get_seo_home()This example is a query for statistics about the number of datasets per Tissue
from ddipy.dataset_client import StatisticsClient
if __name__ == '__main__':
client = StatisticsClient()
res = client.get_statistics_tissues(20)This example is a query for statistics about the number of datasets per dieases
from ddipy.dataset_client import StatisticsClient
if __name__ == '__main__':
client = StatisticsClient()
res = client.get_statistics_diseases(20)This example for searching dictionary terms
from ddipy.dataset_client import TermClient
if __name__ == '__main__':
client = TermClient()
res = client.get_term_by_pattern("hom", 10)This example for retrieving frequently terms from the repo
from ddipy.dataset_client import TermClient
if __name__ == '__main__':
client = TermClient()
res = client.get_term_by_pattern("pride", "description", 20)Find out about us in our GitHub profiles:
When ddipy is installed correctly it should be available on your path through the command omicsdi. This command line interface makes it possible to list all the data links and download the data itself related to an accession number. The tool has one mandatory parameter 'accession number' and several options:
omicsdi_fetcher [OPTIONS] ACC_NUMBER
| Option | Type | Description |
|---|---|---|
| --version | FLAG | Show the version and exit. |
| -d, --download | FLAG | Use this flag to download the files in the current directory or a specified output directory |
| -v, --verbose | FLAG | Use this flag to print identifiers and file extension along with the urls |
| -i, --input | LIST | This option allows you to download the a selection of the files based on comma separated list of identifiers |
| -o, --output | PATH | Output directory when downloading files (default: CWD) |
| -h, --help | FLAG | Show this message and exit. |
-
A microarray dataset with ftp links:
omicsdi E-MTAB-5612 -
Downloading the microarray dataset with ftp links:
omicsdi E-MTAB-5612 -d -
A BioModels dataset with https links and exposing identifiers for each file link:
omicsdi BIOMD0000000048 -v -
Downloading a selection of the files belonging to an accession number based on a list of identifiers as input:
omicsdi BIOMD0000000048 -d -i "8b52492888, d3144265ac"
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