



Laboratory of Complex Diseases
@ Eli and Edythe Broad Center of Regeneration
Medicine and Stem Cell Research
University of California, San Francisco



Laboratory of Complex Diseases
@ Eli and Edythe Broad Center of Regeneration
Medicine and Stem Cell Research
University of California, San Francisco

DEEP: A Deep Learning Platform for Personal Cancer Genome Analysis
About the Project
Our recent paper in Cancer Research developed a deep learning algorithm to scan personal cancer genomes, enabling us to identify pathogenic somatic mutations and to accurately predict clinical outcomes. To meet the clinical demands, we are now teaming up to implement this algorithm for large-scale genome analysis by developing hardware infrastructure and software system. The project name DEEP is an abbreviation of Deep Estimation from Epigenome Prediction in our original publication.In this project, we will develop user friendly interfaces for data input and output, GPU-powered deep learning system to scan personal genomes, and HIPPA compliant storage system to host clinical cancer genomes. We will also integrate ACMG diagnostic guidelines in our system to standardize clinical interpretation of pathogenic mutations. Although initially developed for prostate cancer, the system can be broadly applied to any cancer genomes.Hiring: Software Engineer
We are looking for talented software engineer to join us:- Proficiency in designing data structures, data modeling and schema design
- Proficient in using Python, Pytorch and TensorFlow
- 1+ Years experience developing software in a professional environment
Contact Us
Email: Jingjing.Li@
Address: 35 Medical Center Way, RMB 934H, San Francisco, CA 94143
Tel: 415-502-2572
Copyright 2020