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Bioinformatics: Methods and Applications

Bioinformatics: Methods and Applications

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  • More about Bioinformatics: Methods and Applications

Bioinformatics: Methods and Applications is a comprehensive guide to bioinformatics, covering principles, methods, and applications in life sciences. It provides a valuable resource for bioinformaticians, computer biologists, and researchers in the biomedical field.

Format: Paperback / softback
Length: 510 pages
Publication date: 21 October 2021
Publisher: Elsevier Science & Technology


Bioinformatics: Methods and Applications is a comprehensive and intricate guide that delves into the principles, methodologies, and diverse applications of bioinformatics across various life sciences domains. It serves as a comprehensive compendium, presenting a wealth of essential topics and fundamental principles that are readily adaptable to diverse research settings. The content spans a wide range of subjects, including biological databases, sequence analysis, genome assembly, RNA sequence data analysis, drug design, and structural and functional analysis of proteins. Furthermore, it explores computational approaches for vaccine design, systems biology, big data analysis, and machine learning in bioinformatics. This invaluable resource is a must-have for bioinformaticians, computer biologists, and professionals in the biomedical field who seek to employ bioinformatics techniques to enhance their research and laboratory endeavors.

The field of bioinformatics encompasses a wide range of techniques and methodologies for analyzing biological data, such as DNA and RNA sequences. It involves the use of computer science, mathematics, and statistics to understand the structure, function, and evolution of biological systems. Bioinformatics is used in many areas of research, including genomics, proteomics, and systems biology.

One of the key techniques in bioinformatics is sequence analysis, which involves identifying and analyzing the patterns of nucleotides in a DNA or RNA sequence. This can be used to identify genes, predict protein structures, and understand the genetic basis of diseases. Other techniques include genome assembly, which involves putting together the pieces of a DNA sequence to create a complete genome, and structural and functional analysis of proteins, which involves studying the 3D structure of proteins and their interactions with other molecules.

Bioinformatics is also used in drug design, where computer simulations are used to predict the effects of potential drugs on biological molecules. This can help researchers develop new drugs that are more effective and have fewer side effects. In addition, bioinformatics is used in systems biology, which involves studying the complex interactions between biological systems and their environment. This can help researchers understand the underlying mechanisms of diseases and develop new therapies.

Machine learning is a powerful tool in bioinformatics, which involves using algorithms to analyze large datasets and make predictions. This can be used to identify patterns in biological data that are difficult to detect using traditional methods. For example, machine learning can be used to predict the effects of genetic mutations on protein function or to identify new drug targets.

Overall, bioinformatics is a rapidly evolving field that is playing an increasingly important role in understanding the biological world. It is a multidisciplinary field that requires expertise in computer science, mathematics, and biology, and it is used in many areas of research and industry. As our understanding of biological systems continues to grow, we can expect to see even more innovative and exciting applications of bioinformatics in the future.

Weight: 1380g
Dimension: 235 x 191 (mm)
ISBN-13: 9780323897754

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