Research literature contains a wealth of information that can be extracted at scale using text-mining technologies. To make text-mining data available to a wider group of researchers, the publications database, Europe PMC, provides access to millions of text-mined annotations, such as genes and proteins, metabolites, species, mutations, phosphorylations, interactions, associations, and many more. 

This webinar will demonstrate how to access text-mined literature evidence programmatically, and how to supplement it with bibliographic information for advanced use cases. Two of such use cases, mapping of tropical disease research by author affiliation geoparsing and comparison of applicability of analytical chemistry techniques, will be introduced by invited speaker, Dr. Magnus Palmblad.

Who is this course for?

This webinar is aimed at individuals who wish to learn about accessing text-mined literature evidence programmatically. No prior knowledge of bioinformatics is required, but undergraduate level knowledge of biology would be useful.

DOI: 10.6019/TOL.IntegratingPubs-w.2019.00001.1

This webinar took place on 2nd October 2019. Please click the 'Watch video' button to view the recording.