Ji Research Group In The Division of Oncology

DNA Discovery - Integrating Genomics into Clinical Oncology Practice

  • » Research focused on accelerating  and enabling personalized cancer medicine to patients
  • » Novel next generation sequencing technology development for translational and clinical research in cancer genetics and oncology
  • » Current translational genomic projects as a joint effort between the Stanford Cancer Institute and the Stanford Genome Technology Center  
Personal Cancer Genome Initiative
Genetic People

To improve the lives of individuals with cancer, we have embarked on a research initiative to use cutting edge genetics and technology to interrogate the fundamental genetic" digital" code responsible for cancer development and overall clinical behavior. Our research program is focused on:

  1. Development of novel approaches for analyzing cancer genomes
  2. Discovery and validation of personalized genetic cancer signatures of cancer portending prognosis and therapeutic prediction for individuals with this disease
  3. Determining inherited pathogenic mutations that increase the risk of developing gastrointestinal malignancies
  4. The genetic analysis of complete cancer genome sequences derived from inherited and other rare cancers

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Spatial - Temporal Genetic Diversity Informs Precision Cancer Medicine
Recent Publications
  • » A programmable method for massively parallel targeted sequencing; Erik S. Hopmans, Georges Natsoulis, John M. Bell, Susan M. Grimes, Weiva Sieh and Hanlee P. Ji; Neucleic Acids Research, 2014; 10.1093/nar/gku282. [Nucl. Acids Res.]
  • » High Sensitivity Detection and Quantitation of DNA Copy Number and Single Nucleotide Variants with Single Color Droplet Digital PCR; Miotke LK, Lau BT, Rumma RT, Ji HP; Analytical Chemistry, 2014. [PubMed]
  • » Identification of Insertion Deletion Mutations from Deep Targeted Resequencing; Natsoulis G, Zhang N, Welch K, Bell J, Ji HP; J Data Mining Genomics Proteomics, 2013; 4(3). [PubMed]
  • » Systematic genomic identification of colorectal cancer genes delineating advanced from early clinical stage and metastasis; Lee H, Flaherty P, Ji HP.; BMC Med Genomics, 2013; 5;6:54. [PubMed]
  • » Detecting mutations in mixed sample sequencing data using empirical Bayes; Muralidharan O, Natsoulis G, Bell J, Ji HP, Zhang N; Annals of Applied Statistics, 2013; 6(3), 1047-1067. [Euclid]

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Affiliates

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