Response to GISAID on termination of SARS-CoV-2 data feed
We launched outbreak.info in late 2020 to monitor COVID-19 cases and deaths, and expanded it in...
We build a collection of high-performance biological APIs
Fast API access to update-to-date Gene annotations.
Weekly updated gene annotations from over 30 sources.
Gene annotations for >20M genes (>17K species) are pre-integrated.
Just two end-points to retrieve annotations via Gene IDs or any query term.
Fast API access to update-to-date human variant annotations..
Monthly updated variant annotations from 18 sources.
Variant annotations for >400M human variants are pre-integrated.
Just two end-points to retrieve annotations via HGVS IDs or any query term.
Fast API access to update-to-date chemical/drug annotations..
Monthly updated chemical/drug annotations over 10 sources.
Annotations for >90M chemicals/drugs are pre-integrated.
Just two end-points to retrieve annotations via InChIKey or any query term.
A Software Developement Kit to turn a data file into an API
See the tutorial and the docs
Build interoperability across APIs
Enhance Data Discovery with Customized Metadata Schemas
Accelerate your research. Find datasets on Infectious and Immune-mediated Diseases (IID) across many repositories.
We launched outbreak.info in late 2020 to monitor COVID-19 cases and deaths, and expanded it in...
Julia Rubin and Stephen Johnston, epidemiologists at the County of Sonoma Department of Health,...
The emergence of COVID-19 was met with an unprecedented level of worldwide scientific...
We're excited to announce the latest MyVariant.info updates! The number of our hg19 variant...
In order to improve the aggregation, search, and filtering capabilities for outbreak.info...
How Scientists are Using Data to Increase COVID-19 Testing, Vaccinations, and Health Literacy in...
Our lab has a close collaborative relationship with Professor Andrew Su’s group at Scripps Research. We work together on a range of projects, and members of both labs often contribute across shared research teams. To learn more about the Su Lab, visit SuLab.org.
If you are passionate about Bioinformatics, Data Science, Semantic Web, Machine-learning and Genomics, you are welcome to contact us (cwu -at- scripps -dot- edu) and we will find a suitable position (Scientist, Developer, PostDoc or Graduate Research Assistant) in our team.