Computational biology.
Overview
| Works: | 103 works in 51 publications in 51 languages | |
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Titles
Bioinformatics, biocomputing and Perl : = an introduction to bioinformatics computing skills and practice /
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Algorithms on strings, trees, and sequences : = computer science and computational biology /
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Parallel computing for bioinformatics and computational biology : = models, enabling technologies, and case studies /
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Computational methods for SNPs and Haplotype inference = DIMACS/RECOMB satellite workshop, Piscataway, NJ, USA, November 21-22, 2002 : revised papers /
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An introduction to systems biology : = design principles of biological circuits /
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Introduction to computational biology : = an evolutionary approach /
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Computational methods for SNPs and Haplotype inference = DIMACS/RECOMB satellite workshop, Piscataway, NJ, USA, November 2002 revised papers / Sorin Istrail, Michael Waterman, Andrew Clark, (eds.).
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Transactions on computational systems biology XII = special issue on modeling methodologies /
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Computational modeling of biological systems = from molecules to pathways /
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Systemic approaches in bioinformatics and computational systems biology = recent advances /
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Computational strategies towards improved protein function prophecy of xylanases from thermomyces lanuginosus
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High-dimensional single cell analysis = mass cytometry, multi-parametric flow cytometry and bioinformatic techniques /
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Stochastic processes, multiscale modeling, and numerical methods for computational cellular biology
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Computational biology and machine learning for metabolic engineering and synthetic biology /
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From computational logic to computational biology = essays dedicated to Alfredo Ferro to celebrate his scientific career /
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Computational intelligence in biomedicine and bioinformatics = current trends and applications /
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Computational electrophysiology = dynamical systems and bifurcations /
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Interdisciplinary research and applications in bioinformatics, computational biology and environmental sciences
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Combinatorial computational biology of RNA = pseudoknots and neutral networks /
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Computational ecology = artificial neural networks and their applications /
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Biocomputation and biomedical informatics = case studies and applications /
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Combinatorial pattern matching algorithms in computational biology using Perl and R
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Pathway analysis for drug discovery = computational infrastructure and applications /
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Intelligent strategies for pathway mining = model and pattern identification /
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Scalable pattern recognition algorithms = applications in computational biology and bioinformatics /
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Fundamentals of bioinformatics and computational biology = methods and exercises in MATLAB /
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Computational biomechanics for medicine = new approaches and new applications /
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Parabolic equations in biology = growth, reaction, movement and diffusion /
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Biomedical research and integrated biobanking = an innovative paradigm for heterogeneous data management /
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Emerging trends in computational biology, bioinformatics, and systems biology = algorithms and software tools /
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Concise guide to computing foundations = core concepts and select scientific applications /
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Bioinformatics and computational biology in drug discovery and development
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Modelling organs, tissues, cells and devices = using MATLAB and COMSOL multiphysics /
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Pattern recognition in computational molecular biology : = techniques and approaches /
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Emerging trends in applications and infrastructures for computational biology, bioinformatics, and systems biology : = systems and applications /
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Bioinformatics and phylogenetics = seminal contributions of Bernard Moret /
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Statistical modelling and machine learning principles for bioinformatics techniques, tools, and applications
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Topological data analysis for genomics and evolution : = topology in biology /
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In silico drug discovery and design : = theory, methods, challenges, and applications /
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Complex systems and computational biology approaches to acute inflammation = a framework for model-based precision medicine /
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Recent advances in biological network analysis = comparative network analysis and network module detection /
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Computational learning approaches to data analytics in biomedical applications
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Quantitative elements of general biology = a dynamical systems approach /
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R crash course for biologists : = an introduction to R for bioinformatics and biostatistics /
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Analysis of biological processes = verbal description, schemes, and mathematical models /
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