Since the mid-1990s advances in DNA sequencing have enhanced our understanding of humanity and all living things. Driven by these advances, the closely related sciences of Bioinformatics and Biocomputing have become the ultimate interdisciplinary study areas, forever blurring the lines between engineering, biology and computer science and bringing together researchers who ordinarily wouldn't interact. While Bioinformatics largely focuses on the analysis, prediction, imaging and sequencing of genes, the broader, interdisciplinary field of Biocomputing includes the study of biological models of computing using traditional materials, genomic modelling and visualisation, biomaterials for non-traditional computer designs and computer architectures for those materials. In addition, Biocomputing uses the principles and tools of computer science to model or algorithmically specify complex biological information systems and computational systems with life-like capabilities. Biocomputing has manifested numerous government multi-agency programs, including the Human Genome Project, the High Performance Computing & Communications (HPCC) initiative, the Human Brain Project, and other related programs such as the National Information Infrastructure and Digital Libraries initiatives, which have strong bio-related components. This book brings together the latest research in this fast-growing field.
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Parallel Computation for Coefficients of Determination in the Context of Multivariate GeneExpression Analysis
Virtual Tissue Engineering of Cardiac Muscle Computational Aspects
Combining Particle Swarms and itNearest Neighbors for the Development of Quantitative StructureActivity Relationships
Towards Minimal AdditionSubtraction Chains Using Genetic Algorithms
3-Coloring problem A.V.Holden action potential addition chain addition-subtraction chain Agrafiotis analysis answer application architecture arrhythmias asm Move binary biological chromosome cluster CoD values coefficient of determination color combinations color conflicts color patterns confocal light microscope crossover data set decoding digits DNA Based Computers DNA computing DNA computing model dynamic updating edges being removed encoding exponent exponentiation feature selection filter fitness FPGA function gene combinations gene expression genetic algorithm half adder heart Histogram implementation individual input Instruction Set kernel regression KNN-PS Laplante ligated microarray microscopy images multiplications mutation neural networks node NP-complete offspring OISC operandam operandum operation optimal parallel parameters particle swarms partition performance pixel Pnew pool population prediction predictor combinations processors QSAR quantitative structure-activity relationships recoding segmentation solution solve the 3-Coloring SOTM strands representing subgraphs subtraction chain target techniques tree map vector ventricular Verilog VHDL virtual tissue engineering w-ary window methods