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PNAS 101 2981, 2004 pnas/cgi/reprint/0308661100v1

Predicting Complex Biological Networks. Studying networks represent a move from a fairly static, model of life (genome sequence) to a more dynamic, processes-oriented approach to life. PNAS 101 2981, 2004 http://www.pnas.org/cgi/reprint/0308661100v1.

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PNAS 101 2981, 2004 pnas/cgi/reprint/0308661100v1

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  1. Predicting Complex Biological Networks Studying networks represent a move from a fairly static, model of life (genome sequence) to a more dynamic, processes-oriented approach to life. PNAS 101 2981, 2004 http://www.pnas.org/cgi/reprint/0308661100v1 Metsada Pasmanik-Chor, TAU Bioinforamtics Unit

  2. Superposition of Gene Expression Data on Signaling Networks Metsada Pasmanik-Chor, TAU Bioinforamtics Unit http://www.cs.tau.ac.il/~spike/

  3. Networks and Simulations Metsada Pasmanik-Chor, TAU Bioinforamtics Unit http://genomics.energy.gov/gallery/b2b/gallery-02.html

  4. Large Scale Computations-Overcome the Bottleneck 1,304 hrs For relatively small input data sizes (300 protein sequences), a local cluster and a single CPU surpass the Grid solution. 22 hrs Analysis using hardware platform Metsada Pasmanik-Chor, TAU Bioinforamtics Unit Andradeet al., In Silico Biol. 6, 495 (2006; Figure 2) http://www.bioinfo.de/isb/2006060046/

  5. Are We Done ? “Now this is not the end. It is not even the beginning of the end. But it is perhaps, the end of the beginning”. Winston Churchill, 1942 (3 years into WW2) Metsada Pasmanik-Chor, TAU Bioinforamtics Unit 5 http://www.globecartoon.com/neweconomy/10.html

  6. Thank You ! Goal: Make bioinformatics tools readily available to experimentalists http://www.tau.ac.il/lifesci/bioinfo/ metsada@bioinfo.tau.ac.il tel: 03 640 6992 Metsada Pasmanik-Chor, TAU Bioinforamtics Unit

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