Processing the DisGeNET database of disease–gene association
-
Updated
Mar 26, 2016 - Jupyter Notebook
#
disgenet
Here are 5 public repositories matching this topic...
A report giving a concise overview of Neo4J database using python and exploiting data from the DisGeNet repository
-
Updated
Jul 9, 2020 - Jupyter Notebook
EDA of different databases to extract IBD-relevant genes, their coverage in a 10X Genomics spatial transcriptomics panel and the main cell types and tissues related to these genes.
-
Updated
May 18, 2024 - Jupyter Notebook
Python Clinical Variant Tools This repository hosts Python scripts designed to streamline the retrieval of clinical variant information from authoritative sources such as ClinVar and DisGeNET. These tools facilitate efficient data extraction and analysis for researchers and professionals in the field of genetics and genomics.
-
Updated
Jun 3, 2024 - Python
Grouped compounds together w/ k-means clustering then displayed it using R-Shiny front end. The criteria for comparison are h-bond donators, h-bond acceptors, and rotational bonds. Compound.csv is made w/ 1000 random chemicals from disgenet.org
-
Updated
Dec 26, 2021 - R
Improve this page
Add a description, image, and links to the disgenet topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the disgenet topic, visit your repo's landing page and select "manage topics."