Towards an integrative and context-sensitive approach to in silico disease modelling

Matej Orešič (Corresponding Author), Peddinti V. Gopalacharyulu, Erno Lindfors, Catherine Bounsaythip, Ilkka Karanta, Mikko Hiirsalmi, Lauri Seitsonen, Paula Silvonen

Research output: Contribution to journalArticleProfessional

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 languageEnglish
Pages (from-to)25 - 26
Number of pages2
JournalERCIM News
Issue number60
Publication statusPublished - 2005
MoE publication typeNot Eligible

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Orešič, M., Gopalacharyulu, P. V., Lindfors, E., Bounsaythip, C., Karanta, I., Hiirsalmi, M., ... Silvonen, P. (2005). Towards an integrative and context-sensitive approach to in silico disease modelling. ERCIM News, (60), 25 - 26.
Orešič, Matej ; Gopalacharyulu, Peddinti V. ; Lindfors, Erno ; Bounsaythip, Catherine ; Karanta, Ilkka ; Hiirsalmi, Mikko ; Seitsonen, Lauri ; Silvonen, Paula. / Towards an integrative and context-sensitive approach to in silico disease modelling. In: ERCIM News. 2005 ; No. 60. pp. 25 - 26.
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Orešič, M, Gopalacharyulu, PV, 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, no. 60, pp. 25 - 26.

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 journalArticleProfessional

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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

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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.

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Orešič M, Gopalacharyulu PV, Lindfors E, Bounsaythip C, Karanta I, Hiirsalmi M et al. Towards an integrative and context-sensitive approach to in silico disease modelling. ERCIM News. 2005;(60):25 - 26.