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Bioinformatics is growing by leaps and bounds; theories/algorithms/statistical techniques are constantly evolving. Nevertheless, a core body of algorithmic ideas have emerged and researchers are beginning to adopt a "problem solving" approach to bioinformatics, wherein they use solutions to well-abstracted problems as building blocks to solve larger scope problems. Problem Solving Handbook for Computational Biology and Bioinformatics is an edited volume contributed by world renowned leaders in this field. This comprehensive handbook with problem solving emphasis, covers all relevant areas of computational biology and bioinformatics. Web resources and related themes are highlighted at every opportunity in this central easy-to-read reference. Designed for advanced-level students, researchers and professors in computer science and bioengineering as a reference or secondary text, this handbook is also suitable for professionals working in this industry.

Bioinformatics. --- Computational biology. --- Functions, Meromorphic. --- Value distribution theory. --- Functions, Meromorphic --- Value distribution theory --- Mathematics --- Biology --- Health & Biological Sciences --- Physical Sciences & Mathematics --- Calculus --- Mathematical Theory --- Biology - General --- Computational biology --- Bio-informatics --- Biological informatics --- Computer science. --- Algorithms. --- Computer Science. --- Computational Biology/Bioinformatics. --- Algorithm Analysis and Problem Complexity. --- Complex analysis --- Information science --- Systems biology --- Data processing --- Bioinformatics --- Computer software. --- Software, Computer --- Computer systems --- Distribution des valeurs, Théorie de la. --- Functions of complex variables --- Fonctions d'une variable complexe --- Fonctions méromorphes --- Nevanlinna theory --- Nevanlinna, Théorie de --- Algorism --- Algebra --- Arithmetic --- Foundations --- Distribution des valeurs, Théorie de la. --- Nevanlinna, Théorie de --- Fonctions méromorphes