Welcome to the home page for the lab of Andrew Su. Our group works in the field of bioinformatics, and is located at the Scripps Research Institute in sunny La Jolla, California. Please browse around the site to get an overview of our research, to meet our team members, and to read our blog.
Our Research
Our group embraces the data mining challenges that have resulted from high-throughput, multi-dimensional and multi-modal biology. We have many ongoing research projects that span multiple disease areas in collaborations with some of the world’s experts in these areas.
We have a strong interest in in making biomedical knowledge more Findable, Accessible, Interoperable, and Reusable (F.A.I.R.). In support of this goal, we build user friendly tools, resources, and infrastructure to support the bleeding edge of biomedical research.
We harness the collective efforts of the community (both researchers and the general public) towards solving grand challenges in biology. These “community intelligence” initiatives are powerful because they scale with the explosive growth of data generation in science.
The laboratory of Dr. Andrew Su works in a highly interwoven collaboration with the laboratory of Dr. Chunlei Wu. Our research is primarily funded by NIH grants to Andrew, Chunlei and to our many collaborators here at Scripps Research and at outside institutions.
What’s New
No trick, this new plugin is quite the treat
Check out the new PanDrugs plugin from @pandrugs_cnio--the clean design neatly and intuitively provides information on drugs that relate to your gene of interest. Thanks to the good folks at Centro Nacional de Investigaciones Oncologicas, this awesome new resource is...
Happy Halloween
If you love science and enjoy learning, you’re in for a treat! Andrew (the brains behind Mark2Cure) will be holding a webinar using two case studies (the Gene Wiki Project and Mark2Cure) to illustrate the use of crowdsourcing as it applies to knowledge management for translational research. Registeration is free
Wikidata SPARQL Query Log Item and Property Co-occurrence Analysis
This is part 2 of a blog post describing Wikidata SPARQL query logs. Part 1 is here. In this part, we'll look at the most used items and specifically look at diseases, drugs, genes and proteins. And then look at co-occurrence of properties within queries.. Below is a...
Latest Publication
- Applying Citizen Science to Gene, Drug, and Disease Relationship Extraction from Biomedical Abstracts.Related Articles Applying Citizen Science to Gene, Drug, and Disease Relationship Extraction from Biomedical Abstracts. Bioinformatics. 2019 Sep 03;: Authors: Tsueng G, Nanis M, Fouquier JT, Mayers M, Good BM, Su AI Abstract MOTIVATION: Biomedical literature is growing at a rate that outpaces our ability to harness the knowledge contained therein. To mine valuable inferences […]
- Aligning Needs: Integrating Citizen Science Efforts into Schools Through Service Requirements.Related Articles Aligning Needs: Integrating Citizen Science Efforts into Schools Through Service Requirements. Hum Comput (Fairfax). 2019;6(1):56-82 Authors: Tsueng G, Kumar A, Nanis SM, Su AI Abstract Citizen science is the participation in scientific research by members of the public, and it is an increasingly valuable tool for both scientists and educators. For researchers, citizen […]
Who We Are
Andrew Su
Andrew is a Professor at the Scripps Research Institute in the Department of Integrative, Structural and Computational Biology. His research focuses on building and applying bioinformatics infrastructure for biomedical discovery.
Our Team
We are a motley crew joined together by a common belief in open and participatory science. Our backgrounds are diverse and we believe that these different talents and expertise build a whole that is greater than the sum of its parts.
Our Collaborators
We collaborate with some experts across many different disciplines of research from multiple areas of disease research to machine learning and crowdsourced knowledge management.
Join us!
Are you interested in doing highly collaborative science with both experimental and computational colleagues? We are always interested in recruiting talented individuals to join our team. If you fit that description, please get in touch!