metsada pasmanik-chor, tau bioinforamtics unit 1 pnas 101 2981, 2004 predicting complex biological...
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Metsada Pasmanik-Chor, TAU Bioinforamtics Unit
1PNAS 101 2981, 2004http://www.pnas.org/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.
Metsada Pasmanik-Chor, TAU Bioinforamtics Unit
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http://www.cs.tau.ac.il/~spike/
Superposition of Gene Expression Data on Signaling Networks
Metsada Pasmanik-Chor, TAU Bioinforamtics Unit
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http://genomics.energy.gov/gallery/b2b/gallery-02.html
Networks and Simulations
Metsada Pasmanik-Chor, TAU Bioinforamtics Unit
4Andrade et al., In Silico Biol. 6, 495 (2006; Figure 2) http://www.bioinfo.de/isb/2006060046/
Input data
33,869 protein sequences
15,000 protein sequences
300 protein sequences
15,186,996BlastP searches
6,805,323BlastP searches
126,318BlastP searches
Analysis using hardware platform
For relatively small input data sizes (300 protein sequences), a local cluster and a single CPU surpass the Grid solution.
1,304 hrs
22 hrs
Large Scale Computations-Overcome the Bottleneck
Metsada Pasmanik-Chor, TAU Bioinforamtics Unit
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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)
http://www.globecartoon.com/neweconomy/10.html 5
Metsada Pasmanik-Chor, TAU Bioinforamtics Unit
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tel: 03 640 6992
Goal: Make bioinformatics tools readily available to experimentalists
http://www.tau.ac.il/lifesci/bioinfo/