Empowering advances in life sciences and health

The SIB Swiss Institute of Bioinformatics is an independent, non-profit foundation that includes some 70 bioinformatics research and service groups and some 800 scientists from the major Swiss schools of higher education and research institutes. SIB provides world-class bioinformatics. The decentralized, federating organizational structure of SIB is a model for countries setting up their own bioinformatics infrastructure, as well as for the European bioinformatics programme ELIXIR, which has adopted the hub and nodes model. SIB helps shape the future of life sciences through excellence in bioinformatics, by providing life scientists and clinicians in academia and industry with world-class bioinformatics resources and services, and by leading and coordinating the field of bioinformatics in Switzerland.

By sharing its expertise in storage, analysis and dissemination of large biological datasets and through training and collaborations with research institutes, industrial and international partners, SIB has created a true bioinformatics culture in Switzerland, which counts today the highest concentration of bioinformaticians in the world. The Institute continues to lead developments in the field of bioinformatics. Well aware that the wealth of data produced by modern technologies and the growing self-awareness of patients will change the way medical data is used, SIB is now also embracing the challenge to strive for bioinformatics excellence in personalized health.

SIB in brief:

  • More than 150 bioinformatics resources accessible on the SIB web portal www.expasy.org
  • Key competencies and support in data analysis and statistics
  • State-of-the-art biocuration and bioinformatics expertise
  • Skilled bioinformaticians embedded in laboratories
  • First-class core facilities
  • A clinical bioinformatics group dedicated to personalized health
  • High-performance computing and storage infrastructures with strong data protection
  • Focused training to educate future generations of highly skilled bioinformaticians and ensure that life scientists can make the best use of bioinformatics and SIB resources