Advances in Bioinformatics and Big Data Analytics
by Sujata Dash(Author)
ASIN: B0CBPPZZG5
Publisher finelybook 出版社: Nova Science Publishers, Inc.; (June 1, 2023)
Language 语言: English
Print Length 页数: 403 pages
ISBN-13: 9798886976939
Book Description
By finelybook
The book will play a vital role in improvising knowledge on the practical application of information science in the biological field to a great extent. All the researchers and practitioners will benefit from those working in Big Data, IoT, Computational Intelligence, biomedical, and bioinformatics. This book would be a good collection of state-of-the-art approaches for data mining based on bioinformatics and health-related applications. It will be very beneficial for the new researchers and practitioners working in the field to follow the best-performing methods quickly. They would be able to compare different approaches and carry forward their research in the most critical area of research that directly impacts the betterment of human life and health. This book would also be instrumental because no text in the market provides a good collection of state-of-the-art methods of big data-driven bioinformatics. While emerging technology has made data entry much more accessible, it will also discuss challenges for researchers and medical professionals. Data sets have grown so huge that extracting and analyzing data with traditional methods has become challenging. However, these data sets also give an exciting opportunity to understand large-scale patterns and make predictions about health care. Intelligent technologies have employed the knowledge and implementation of big data techniques globally. This book also proposes Computational Approaches for Vaccine Designing, which will help us better understand ourselves and our environment. This book references new information processing technology that combines ideas from biology, chemistry, and medical science to manage electronic medical records productively. Specific topics covered include database management, genomics, proteomics, and scalability.
