References

Python libraries

sci-dat is designed for Python >=3.6 and requires the following libraries, which will be automatically installed:

Library

Version

Reference

GDC data portal

>= 1.0.1

See their documentation for citation at: https://gdc.cancer.gov/about-data/data-availability

TCGA, NIH

UI v1.25.1, API v3.0.0

Tomczak, K., Czerwińska, P., & Wiznerowicz, M. (2015). The Cancer Genome Atlas (TCGA): An immeasurable source of knowledge. Contemporary Oncology, 19(1A), A68–A77. https://doi.org/10.5114/wo.2014.47136

NumPy

>= 1.9.0

Harris, C.R., Millman, K.J., van der Walt, S.J. et al. Array programming with NumPy. Nature 585, 357–362 (2020). DOI: 0.1038/s41586-020-2649-2

tqdm

>= 4.31.0

https://zenodo.org/badge/DOI/10.5281/zenodo.595120.svg

pandas

>= 1.0.3

https://zenodo.org/badge/DOI/10.5281/zenodo.3715232.svg

sciutil

>= 1.0.3

https://zenodo.org/badge/253343391.svg

scibiomart

>= 1.0.1

https://zenodo.org/badge/DOI/10.5281/zenodo.4099048.svg

sciviso

>= 1.0.1

ToDO

Ensembl Biomart

Release 25

Sarah E Hunt, William McLaren, Laurent Gil, Anja Thormann, Helen Schuilenburg, Dan Sheppard, Andrew Parton, Irina M Armean, Stephen J Trevanion, Paul Flicek, Fiona Cunningham, Ensembl variation resources, Database Volume 2018, doi:10.1093/database/bay119

We strongly encourage you to cite the other python packages, GDC data portal, and Ensembl biomart