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A report giving a concise overview of Neo4J database using python and exploiting data from the DisGeNet repository
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.
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
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.