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CIViC (Clinical Interpretation of Variants in Cancer) Dataset for Machine Learning

Install DagsHub:

pip install dagshub
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To stream this data directly on DagsHub

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://test.dagshub.com/DagsHub-Datasets/civic-dataset")

fs.listdir("s3://civic-aws-opendata")
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Description

Precision medicine refers to the use of prevention and treatment strategies that are tailored to the unique features of each individual and their disease. In the context of cancer this might involve the identification of specific mutations shown to predict response to a targeted therapy. The biomedical literature describing these associations is large and growing rapidly. Currently these interpretations exist largely in private or encumbered databases resulting in extensive repetition of effort. Realizing precision medicine will require this information to be centralized, debated and interpreted for application in the clinic. CIViC is an open access, open source, community-driven web resource for Clinical Interpretation of Variants in Cancer. Our goal is to enable precision medicine by providing an educational forum for dissemination of knowledge and active discussion of the clinical significance of cancer genome alterations.

Additional information

Update frequency

First of each month

Managed by

The McDonnell Genome Institute at Washington University School of Medicine

License

CC0

Related datasets

Allen Brain Observatory – Visual Coding AWS Public Data Set

Allen Cell Imaging Collections

Biological and Physical Sciences (BPS) Microscopy Benchmark Training Dataset

Cancer Cell Line Encyclopedia (CCLE)

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