Transinsight’s GoPubMed with Social Networking Features for Biomedical Experts

GoPubMed gives an overview over search results by classifying them according to the GeneOntology, a hierarchical vocabulary for processes, functions, and cellular components.

With the advent of high-throughput technologies and the Internet, the life sciences have changed dramatically, producing ever-increasing amounts of data. Public databases currently host thousands of 3D protein structures, millions of sequences, and millions of scientific literature abstracts. Current technologies do not support the user in finding the right information for a task. We help you solve these problems!

In contrast to classical searching, Transinsight uses novel algorithms, state-of-the art natural language processing, and ontologies to provide better and faster search capabilities for complex queries in the life sciences.
The ultimative goal of this line of research and product development is the establishment of a semantic web for the life sciences. GoPubMed, the ontology-based literature search engine, is a first example of a knowledge-based semantic search engine to improve literature searching. GoPubMed paves the way for a migration from web to semantic web.

Learn how it works here