| Table of ContentsBiophysics 101 Genomics and Computational Biology Net1: Last week's take home lessons Net2:   Today's   story   &   goals   Bio101   28-Nov-2000 Algorithm Running Time Algorithm Complexity How to deal with NP-complete and NP-hard Problems What can biology do for difficult computation problems Net2:   Today's   story   &   goals   Bio101   28-Nov-2000 Molecular Computing DNA computing: Is there a Hamiltonian path through all nodes? DNA Computing for st-Hamiltonian Path Encode Graph into DNA Sequences Create All st-Paths DNA Computing Process  Molecular computation: RNA solutions to chess problems. Problems of DNA Computing Promises of DNA Computing A sticker-based model for DNA computation. 3SAT DNA Computing for 3SAT DNA computing on surfaces Net2:   Today's   story   &   goals   Bio101   28-Nov-2000 Logical computation using algorithmic self-assembly of DNA triple-crossover molecules. tiles Nanoarray microscopy readout(vs gel assays) Micro-ElectroMechanical Systems (MEMS) Nano-ElectroMechanical Systems (NEMS) Nanosensors poly(dA)100  & poly(dC)100 at 15°C Net2:   Today's   story   &   goals   Bio101   28-Nov-2000 A synthetic oscillatory network of transcriptional regulators Synthetic oscillator network Synthetic oscillator network Net2:   Today's   story   &   goals   Bio101   28-Nov-2000 Genetic Algorithms (GA) Genetic Operations Step 1: Structure Representation Protein Conformation and Structure Prediction     Step 2: Conformational Energy(fitness function) Step 3: Genetic Operations Assessment of Prediction SAGA: Sequence Alignment by Genetic Algorithm SAGA continues Comparison of ClustalW & SAGA Net2:   Today's   story   &   goals   Bio101   28-Nov-2000 Artificial Neural Networks Neural Networks An ORF Classification Example Measuring Exons Linear Discriminate Function and Single Layer Neural Network Activation Function Determining Edge Weights from Training Sets Non-linear Discrimination The Multi-Layer Perceptron GRAIL Net2:   Today's   story   &   goals   Bio101   28-Nov-2000 |