CEIT-JAX
Illuminating the Druggable Genome by Knowledge Graphs
Monarch Initiative: https://monarchinitiative.org/
Drug Central: https://drugcentral.org
Professor
Computational Biology
The Jackson
Laboratory
Computer Research Scientist
Department Head, Molecular Ecosystems Biology
Lawrence
Berkeley National Laboratory
Professor
Chief, Translational Informatics Division
Internal Medicine Health Sciences Center
University of New Mexico
Contacts
- Peter Robinson profile: https://www.jax.org/research-and-faculty/faculty/peter-robinson
- Robinson Lab on Github: https://robinsongroup.github.io/
- Chris Mungall profile: https://biosciences.lbl.gov/profiles/chris-mungall/
- Tudor Oprea profile: https://datascience.unm.edu/team/
- Translational Informatics Division: https://datascience.unm.edu/
- Monarch Initiative: https://monarchinitiative.org/
- Drug Central: drugcentral.org https://drugcentral.org
Monarch Initiative: @MonarchInit
Translational Informatics: @translationalID
Overview
The CEIT-JAX group is led by Dr. Peter Robinson, who works in collaboration with Dr. Chris Mungall and Dr. Tudor Oprea to develop a knowledge graphs for elucidating further understanding of the IDG target proteins via collections of information from Monarch Initiative and Drug Central, to name a few. They intend to integrate these data into a semantically harmonized knowledge graph and then deploy machine learning algorithms with the intent to develop testable hypothesis for evaluating the functions of understudied kinases.
NIH grant number: 1U01 CA239106