Abstract
Historically, the scientific methods applied to biological problems have largely been limited due to the fact that it has been difficult to collect the data. Today, these scientific methods are challenged by the 'omics' revolution, which are empowering us with the ability to collect large amounts of data in parallel from a particular system. However, the development of efficient tools to exploit this data within the context of biological systems has been much slower. Due to this mismatch the knowledge acquisition in life sciences is actually increasingly difficult and new information technology solutions are needed to resolve this problem.
| Original language | English |
|---|---|
| Pages (from-to) | 25 - 26 |
| Number of pages | 2 |
| Journal | ERCIM News |
| Issue number | 60 |
| Publication status | Published - 2005 |
| MoE publication type | Not Eligible |
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Orešič, M., Gopalacharyulu, P. V., Lindfors, E., Bounsaythip, C., Karanta, I., Hiirsalmi, M., Seitsonen, L., & Silvonen, P. (2005). Towards an integrative and context-sensitive approach to in silico disease modelling. ERCIM News, (60), 25 - 26. https://www.ercim.eu/publication/Ercim_News/enw60/oresic.html