HGCS : an online tool for prioritizing disease-causing gene variants by biological distance Itan

@inproceedings{Itan2017HGCSA,
  title={HGCS : an online tool for prioritizing disease-causing gene variants by biological distance Itan},
  author={Yuval Itan and Mark Mazel and Benjamin Mazel and Avinash Abhyankar and Patrick Linsel Nitschke and Llu{\'i}s Quintana-Murci and St{\'e}phanie Boisson-Dupuis and Bertrand Boisson and Laurent Abel and S Zhang and Jean Casanova},
  year={2017}
}
Background: Identifying the genotypes underlying human disease phenotypes is a fundamental step in human genetics and medicine. High-throughput genomic technologies provide thousands of genetic variants per individual. The causal genes of a specific phenotype are usually expected to be functionally close to each other. According to this hypothesis… CONTINUE READING