Text Mining, Semantics & Data Intelligence for Biopharma, Biotech & Beyond

What's New?

  • London Info International 6th-7th December 20166th - 7th December 2016
    London Info International 6th-7th December 2016

    London Info International is a unique event that brings together professionals from the information industry to network, share knowledge, engage with their community, influence change and shape the future together.


  • Exploring disease phenotypes4th August 2016
    Exploring disease phenotypes

    To achieve the best results in exploring target-disease biology, researchers regularly apply multiple approaches. Reviewing direct protein-disease relationships is a simple but powerful technique for gaining an initial view but will only get you so far.  Read on to find out how SciBite can help you to identify and explore phenotypic associations within a disease.

  • SciBite Japan Launch Seminar21st July 2016
    SciBite Japan Launch Seminar

    21st July 2016, SciBite Japan held our launch seminar in Tokyo.  

    With 100% attendance from registration and an excellent spread of interest from many pharmaceutical companies it was always going to be a good meeting.  


  • High Performance Ontology Engineering11th July 2016
    High Performance Ontology Engineering

    One of the key aims of SciBite is to help our customers work with public ontologies in text mining applications. While these ontologies are very valuable resources, they are often built for the purpose of data organisation, not text mining.  The reliance on vanilla public ontologies in text-mining will often lead to very poor results.

  • SciBite open for business in Japan!5th July 2016
    SciBite open for business in Japan!

    SciBite announces new operation in Japan and launch seminar 21st July in Tokyo.

  • Global Zika Virus Research Trends9th June 2016
    Global Zika Virus Research Trends

    Over the last 18 months, there has been a predictable surge in research on the Zika virus as the scientific community try to better understand the disease area. We decided to take a look at this topic to see how much research we being done across the globe and what phenotypes/symptoms have been mentioned to date.