By Leonardo Mariño-Ramírez, Kannan Tharakaraman, Olivier Bodenreider, John Spouge (auth.), Reneé Ireton, Kristina Montgomery, Roger Bumgarner, Ram Samudrala, Jason McDermott (eds.)
The contemporary confluence of excessive throughput technique for organic information collecting, genome-scale sequencing, and computational processing energy has pushed a reinvention and growth of ways we establish, infer, version, and shop relationships among molecules, pathways, and cells in dwelling organisms. In Computational structures Biology, professional investigators give a contribution chapters which assemble organic facts and computational and/or mathematical types of the information to help researchers striving to create a process that offers either predictive and mechanistic info for a version organism. the amount is prepared into 5 significant sections regarding community parts, community inference, community dynamics, functionality and evolutionary method biology, and computational infrastructure for platforms biology. As a quantity of the hugely profitable Methods in Molecular Biology™ sequence, this paintings offers the type of precise description and implementation recommendation that's the most important for purchasing optimum results.
Comprehensive and updated, Computational structures Biology serves to inspire and encourage all those that desire to boost an entire description of a organic system.
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Science 2000, 290(5500):2306–2309. 4. Mukherjee S, Berger MF, Jona G, et al. Rapid analysis of the DNA-binding specificities of transcription factors with DNA microarrays. Nat Genet 2004, 36(12):1331–1339. 5. Morozov AV, Havranek JJ, Baker D, Siggia ED. Protein-DNA binding specificity predictions with structural models. Nucleic Acids Res 2005, 33(18):5781–5798. 6. Paillard G, Lavery R. Analyzing proteinDNA recognition mechanisms. Structure (Camb) 2004, 12(1):113–122. 7. Endres RG, Schulthess TC, Wingreen NS.
17. Jordan IK, Marino-Ramirez L, Koonin EV. Evolutionary significance of gene expression divergence. Gene 2005, 345(1): 119–126. 18. Jordan IK, Marino-Ramirez L, Wolf YI, Koonin EV. Conservation and coevolution in the scale-free human gene coexpression network. Mol Biol Evol 2004, 21(11): 2058–2070. 19. Lawrence CE, Altschul SF, Boguski MS, Liu JS, Neuwald AF, Wootton JC. Detecting subtle sequence signals: a Gibbs sampling strategy for multiple alignment. Science 1993, 262(5131):208–214. 20. Altschul SF, Madden TL, Schaffer AA, Zhang J, Zhang Z, Miller W, Lipman DJ.
Detecting subtle sequence signals: a Gibbs sampling strategy for multiple alignment. Science 1993, 262(5131):208–214. 20. Altschul SF, Madden TL, Schaffer AA, Zhang J, Zhang Z, Miller W, Lipman DJ. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res 1997, 25(17): 3389–3402. 21. Staden R. Methods for calculating the probabilities of finding patterns in sequences. Comput Appl Biosci 1989, 5(2):89–96. 22. Tharakaraman K, Marino-Ramirez L, Sheetlin S, Landsman D, Spouge JL.
Computational systems biology by Leonardo Mariño-Ramírez, Kannan Tharakaraman, Olivier Bodenreider, John Spouge (auth.), Reneé Ireton, Kristina Montgomery, Roger Bumgarner, Ram Samudrala, Jason McDermott (eds.)