Andrew Su

Andrew Su

Andrew Su

Professor

Department of Integrative, Structural and Computational Biology The Scripps Research Institute asu@scripps.edu Google Profile Google Scholar LinkedIn Twitter Blog
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Bio

Andrew is a Professor at the Scripps Research Institute in the Department of Integrative, Structural and Computational Biology (ISCB). His research focuses on building and applying bioinformatics infrastructure for biomedical discovery. His research has a particular emphasis on leveraging crowdsourcing for genetics and genomics. Representative projects include the Gene Wiki, BioGPS, MyGene.Info, and Mark2Cure, each of which engages the crowd to help organize biomedical knowledge. These resources are collectively used millions of times every month by members of the research community, by students, and by the general public.

Education

Ph.D., Chemistry; The Scripps Research Institute
BA, Chemistry, Computing and Information Systems, and Integrated Science; Northwestern University

Recent Posts

Open Data should mean CC0, not CC-BY

Several months ago, NIGMS released a RFI on The Need for and Support of Research Resources for the Biomedical Research Community. Our group has quite a bit of experience building information-based research resources (through grants generously...

Visualizing academic genealogy using D3

I was curious enough to play with D3 (with my own hands! — rare occurrence these days), so I took on a side project to visualize some academic genealogy data from academictree.org. My workflow so far went basically like this: Request the...

Recent Publications

Wikidata as a knowledge graph for the life sciences.
Waagmeester A, Stupp G, Burgstaller-Muehlbacher S, Good BM, Griffith M, Griffith OL, Hanspers K, Hermjakob H, Hudson TS, Hybiske K, Keating SM, Manske M, Mayers M, Mietchen D, Mitraka E, Pico AR, Putman T, Riutta A, Queralt-Rosinach N, Schriml LM, Shafee T, Slenter D, Stephan R, Thornton K, Tsueng G, Tu R, Ul-Hasan S, Willighagen E, Wu C, Su AI. Elife


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for complete publication list, see google scholar