Systems Biology and Bioinformatics: A Computational ApproachCRC Press, 13.04.2009 - 190 Seiten The availability of molecular imaging and measurement systems enables today's biologists to swiftly monitor thousands of genes involved in a host of diseases, a critical factor in specialized drug development. Systems Biology and Bioinformatics: A Computational Approach provides students with a comprehensive collection of the computational methods |
Inhalt
Chapter 1 Cell Biology | 1 |
Chapter 2 Bioassays | 15 |
Chapter 3 Review of Some Computational Methods | 21 |
Protein Structure Prediction | 41 |
Protein Sequence Analysis | 51 |
Chapter 6 Genomics and Proteomics | 59 |
Chapter 7 Methods for Identification of Differentially Expressed Genes or Proteins | 65 |
Chapter 8 Binary and Bayesian Networks as Static Models of Regulatory Pathways | 73 |
Chapter 10 System Identification and Control Theory for Dynamic Modeling of Biological Pathways | 95 |
Chapter 11 Gene Silencing for Systems Biology | 109 |
Chapter 12 Simulation and Systems Biology | 115 |
Chapter 13 Software Databases and Other Resources for Systems Biology | 131 |
Chapter 14 Future Directions | 143 |
| 159 | |
Back cover | 167 |
Chapter 9 Metabolic Control Theory for Static Modeling of Metabolic Pathways | 77 |
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algorithm allows amino acids analysis analyzed applications approach ARX model assays Bayesian networks bind bioinformatics biological systems Biomedical BLOSUM calculated cell cycle chapter chromosomes clustering codons computing correlation data set defined described distribution DNA microarray DNA sequence drug dynamic programming effect encoding Equation estimate expression level factors FASTA function G1 phase Gal2 Gal3 Gal4 Gal6 galactose galactose pathway Gaussian gene expression gene networks gene regulatory network gene silencing gene-protein genetic Genomics high-throughput identify knockout experiments linear markers matches matrix means membrane methods microarray data molecular molecules mRNA nonlinear nucleotide Ontology optimal output pair parameters perturbation phenotypes predict problem produce protein folding protein sequence protein structure Proteomics query sequence random regulatee regulator residues ribosome Rosetta@Home sample score secondary structures sequence alignment signal similarity simulation specific statistical step stochastic process strand systems biology target theory tion UniProt variables variance