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- Author: Sergey Petoukhov
- Publisher: Medical Information Science Reference
- ISBN-10: 1605661244
- ISBN-13: 9781605661247
- Format: 21.8 x 28.2 x 2.5 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
Symmetrical Analysis Techniques for Genetic Systems and Bioinformatics (e-book) (used book) | bookbook.eu
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Mathematical and symmetrical analysis of the structure of molecular systems of genetic code has essential meaning for the bioinformatics, biomathematics, and biotechnology fields. Symmetrical Analysis Techniques for Genetic Systems and Bioinformatics: Advanced Patterns and Applications adds unique and novel value to the literature in these areas, compiling studies that demonstrate effective approaches to the structural analysis of genetic systems and bioinformatics. This groundbreaking reference advances the knowledge available to researchers, educators, and students about new mathematical methods and tools, phenomenological results and interdisciplinary connections in the fields of molecular genetics, bioinformatics, computer informatics, and mathematical and theoretical biology.
EXTRA 10 % discount with code: EXTRA
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- Author: Sergey Petoukhov
- Publisher: Medical Information Science Reference
- ISBN-10: 1605661244
- ISBN-13: 9781605661247
- Format: 21.8 x 28.2 x 2.5 cm, hardcover
- Language: English English
Mathematical and symmetrical analysis of the structure of molecular systems of genetic code has essential meaning for the bioinformatics, biomathematics, and biotechnology fields. Symmetrical Analysis Techniques for Genetic Systems and Bioinformatics: Advanced Patterns and Applications adds unique and novel value to the literature in these areas, compiling studies that demonstrate effective approaches to the structural analysis of genetic systems and bioinformatics. This groundbreaking reference advances the knowledge available to researchers, educators, and students about new mathematical methods and tools, phenomenological results and interdisciplinary connections in the fields of molecular genetics, bioinformatics, computer informatics, and mathematical and theoretical biology.
Reviews