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Over recent decades vast amounts of biological data have been accumulated. However, it is becoming increasingly difficult to apply traditional theoretical methods to the formulation of coherent pictures of cell and organ function because it is no longer possible for a human theorist to integrate all of the available information. Instead, computer technologies must now be used to perform this integration. This book brings together contributions from many different fields to summarize the current status of computer-assisted modelling of biological processes. The initial chapters deal with fundamental developments in hardware, software and mathematics that underlie current approaches to biological modelling. Next, different approaches to collating data on gene structure and function are presented. These databases form a vital resource for any investigator trying to construct an integrated picture of particular biological systems. Cell signalling systems form a particularly complicated aspect of all cellular function and are important both in the understanding of basic cellular processes and in selecting targets for drugs. Recent approaches to integrating data on cell signalling into computer models are covered. Further chapters build on these approaches to show how computerized models of intact cells can be developed. Finally, approaches to the computer modelling of whole organs such as the heart are presented. The role of computer modelling in drug design is the subject of the final chapter and is also touched on throughout the discussions.

Bioinformatics --- Biology --- Computer simulation

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Essential Bioinformatics is a concise yet comprehensive textbook of bioinformatics, which provides a broad introduction to the entire field. Written specifically for a life science audience, the basics of bioinformatics are explained, followed by discussions of the state-of-the-art computational tools available to solve biological research problems. All key areas of bioinformatics are covered including biological databases, sequence alignment, genes and promoter prediction, molecular phylogenetics, structural bioinformatics, genomics and proteomics. The book emphasizes how computational methods work and compares the strengths and weaknesses of different methods. This balanced yet easily accessible text will be invaluable to students who do not have sophisticated computational backgrounds. Technical details of computational algorithms are explained with a minimum use of mathematical formulae; graphical illustrations are used in their place to aid understanding. The effective synthesis of existing literature as well as in-depth and up-to-date coverage of all key topics in bioinformatics make this an ideal textbook for all bioinformatics courses taken by life science students and for researchers wishing to develop their knowledge of bioinformatics to facilitate their own research.

Molecular biology --- Computer. Automation --- Bioinformatics. --- Computational Biology.

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Medical informatics --- Bioinformatics --- Computational grids (Computer systems) --- Data protection

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Molecular biology --- Computational Biology. --- Structural bioinformatics. --- Bio-informatique structurale --- Structural bioinformatics --- 577.2 --- Molecular bases of life. Molecular biology --- 577.2 Molecular bases of life. Molecular biology --- Structure bioinformatics --- Bioinformatics --- Molecular structure --- Acqui 2006 --- MACROMOLECULES --- STRUCTURAL BIOINFORMATICS --- STRUCTURE --- MATHEMATICAL MODELS --- COMPUTER SIMULATION

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Bioinformatics --- Python (Computer program language) --- Bio-informatique --- Python (Langage de programmation) --- Biomathematics. Biometry. Biostatistics --- Information systems --- Mathematical statistics --- Bioinformatics. --- Python (Computer program language).