Key activities

The Vital-IT team provides bioinformatics collaborative support to life science projects in Switzerland and abroad through collaborations with academic and industry partners. Thanks to its diverse expertise in computational biology, data management and software engineering, the team is able to find custom-made solutions to answer complex biological questions including biomedical & omics data. The value it delivers to its partners is a deep commitment to advancing science effectively and independently.

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Data Management
We organize, clean & control the quality of your datasets for subsequent analysis (+)
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Biostatistics &
bioinformatics analysis
We propose analysis pipelines adapted to each research context, including multi-omics models and results interpretation (+)
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Software engineering & tailoring
We develop tailored web applications and software tools to present, analyze, visualize and interpret data and results (+)
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How we work

We don't work with clients, we establish partnerships: even for one-off collaborations, we strive to deeply understand the data and the objectives of the project we work on. Our partners appreciate our reliability, commitment and team spirit.

Our track record spans biomedical research projects of different sizes - from punctual help to long-term European projects.

We are recognized for our flexibility and independence, allowing us to tailor efficient solutions and propose advisory services to each situation. For example, the collaboration can be customized to include our partner's own ontologies, provide support to validate internal approaches or integrate large and complex amounts of data of various types and origins.

We train both beginners and experts in bioinformatics methods, languages and best practices.

Our highly qualified team of 30 people has an average seniority of 9 years at SIB.

Publications

 

Members

 

Domain(s) of activity:

  • Core facility and competence centre
  • Structural biology
  • Systems biology
  • Data management
  • Data mining
  • Genome reconstruction
  • Machine learning
  • Mass spectrometry
  • Next generation sequencing
  • Personalised medicine
  • Software engineering

Domain(s) of application:

  • Basic research
  • Medicine and health

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