Bioinformaticians are routinely handling big data, including DNA, RNA, and protein sequence information. It’s time to treat biomedical literature as a dataset and extract valuable facts hidden in the millions of scientific papers. This webinar will demonstrate how to access text-mined literature evidence using Europe PMC Annotations API. We will highlight several use cases, including linking diseases with potential treatment targets, or identifying which protein structures are cited along with a gene mutation.
This webinar took place on 5 March 2018. You can watch a recording of the webinar and download slides in Train online.
This webinar is for wet-lab researchers and bioinformaticians who want to access scientific literature and data programmatically. Some prior knowledge of programmatic access and common programming languages is recommended.