See veebileht kasutab küpsiseid kasutaja sessiooni andmete hoidmiseks. Veebilehe kasutamisega nõustute ETISe kasutustingimustega. Loe rohkem
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"Muu" projekt ENFIN
ENFIN (LSHG-CT-2005-518254) "ENFIN - Süsteemibioloogia (15.11.2005−14.11.2010)", Jaak Vilo, OÜ Quretec.
ENFIN - Süsteemibioloogia
ENFIN - Enabling Systems Biology
Teadus- ja arendusprojekt
ETIS klassifikaatorAlamvaldkondCERCS klassifikaatorFrascati Manual’i klassifikaatorProtsent
4. Loodusteadused ja tehnika4.6. ArvutiteadusedP170 Arvutiteadus, arvutusmeetodid, süsteemid, juhtimine (automaatjuhtimisteooria)1.1. Matemaatika ja arvutiteadus (matemaatika ja teised sellega seotud teadused: arvutiteadus ja sellega seotud teadused (ainult tarkvaraarendus, riistvara arendus kuulub tehnikavaldkonda)80,0
4. Loodusteadused ja tehnika4.16. Biotehnoloogia (loodusteadused ja tehnika)T490 Biotehnoloogia 2.3. Teised tehnika- ja inseneriteadused (keemiatehnika, lennundustehnika, mehaanika, metallurgia, materjaliteadus ning teised seotud erialad: puidutehnoloogia, geodeesia, tööstuskeemia, toiduainete tehnoloogia, süsteemianalüüs, metallurgia, mäendus, tekstiilitehnoloogia ja teised seotud teadused).20,0
OÜ Quretecpartner15.11.2005−14.11.2010
Euroopa Komisjon
15.11.2005−14.11.20104 500 000,00 EEK (287 602,42 EUR)
287 602,42 EUR

ENFIN on EU 6. RP Tippkeskus (Network of Excellence) eesmärgiga ühendada bioinformaatika rühmade süsteemibioloogia alane ekspertiis laborite vajadustega. Projekti käigus tegeletakse bioloogiliste võrgustike struktuuri väljaselgitamise ja modelleerimisega.
We propose to form a Network of Excellence in the area of bioinformatics to provide a Europe-wide integration of computational approaches in systems biology. This network will be focused on the development and critical assessment of computational approaches in this area, but uniquely will bring together a range of backgrounds and laboratory contexts that will span investigative computer science through to traditional wet-bench molecular biology. Despite the progress in bioinformatics methods and databases, even the best experimental labs use only a small number of computational tools in their work and rarely exploit the potential of multiple datasets. This network will enable a transformation of the way computational analysis is used in the laboratory and the infrastructure will be entirely open, analogous to the genome information. To achieve its goals, the network will internally have close collaboration between experimental and computational research, with a specific consumables budget for experimentally testing predictions. The computational work includes the development of a distributed database infrastructure appropriate for small laboratories and development of analysis methods including Bayesian networks, metabolite flux modeling and correlations of protein modifications to pathways. The experimental techniques used to test this system include mass spectroscopy, synthetic peptide biochemistry and RNAi knockdown. Where appropriate we have chosen experimental areas connected to intracellular signaling associated with the cell cycle. An additional benefit will be greater understanding in this area. Overall the ENFIN network will deliver four main products: a platform for database provision of diverse biological data (the ENFIN core), a suite of analysis tools integrated with this platform (the ENFIN analysis layer), extensive documentation written from the wet laboratory perspective and “best practice” guidelines for the use of computers in systems biology.