Abstract
| 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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Towards an integrative and context-sensitive approach to in silico disease modelling. / Orešič, Matej (Corresponding Author); Gopalacharyulu, Peddinti V.; Lindfors, Erno; Bounsaythip, Catherine; Karanta, Ilkka; Hiirsalmi, Mikko; Seitsonen, Lauri; Silvonen, Paula.
In: ERCIM News, No. 60, 2005, p. 25 - 26.Research output: Contribution to journal › Article › Professional
TY - JOUR
T1 - Towards an integrative and context-sensitive approach to in silico disease modelling
AU - Orešič, Matej
AU - Gopalacharyulu, Peddinti V.
AU - Lindfors, Erno
AU - Bounsaythip, Catherine
AU - Karanta, Ilkka
AU - Hiirsalmi, Mikko
AU - Seitsonen, Lauri
AU - Silvonen, Paula
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
UR - https://www.ercim.eu/publication/Ercim_News/enw60/EN60.pdf#page=25
M3 - Article
SP - 25
EP - 26
JO - ERCIM News
JF - ERCIM News
SN - 0926-4981
IS - 60
ER -