A Python package for pharmacogenomics (PGx) research
A collection of source codes for network-based multi-omics analysis using integrated genome-wide association studies (GWAS) and transcriptomic data to identify genetic contribution into lithium response in patients with bipolar disorder (BD).
This application is being developed by graduates in Bioengineering from the University of Burgos. The goal is to create an application that provides assistance to clinicians and researchers at the University Hospital of Burgos in the administration of medications to patients.
Framework for comprehensive variant detection in whole genome sequences using advanced machine learning models for cross domain pattern recognition in fitness, pharmacogenetics and nutritional aspects of sprint running
A Snakemake powered pipeline developed to perform variant-effect-prediction and frequency analysis given multiple Variant Call Format datasets. This has been developed in partial fulfilment of a MSc in Bioinformatics at the University of Pretoria by Graeme Ford.
Predict the pharmacogenomic impact of human variants, uses AI to ID variants located within drug-binding pockets and supporting secondary structures. CRISPR experiment support to identify functional drug-variant interactions in yeast.
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