Advances in bioinformatics and big data analytics / Sujata Dash, editor.

Format:

Book

Contributor:

Dash, Sujata, 1964- editor.

Series:

Computer science, technology and applications.

Computer science, technology and applications

Language:

English

Subjects (All):

Bioinformatics.

Big data.

Physical Description:

1 online resource (406 pages)

Edition:

First edition.

Place of Publication:

New York : Nova Science Publishers, Inc., [2023]

Summary:

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.

Contents:

Chapter 1. The Value of Next-Generation Sequencing and MultiOmics Data for Clinical Diagnosis: Future Perspectives on Breast Cancer / Amel Elbasyouni, Leila Saadi and AbdelKarim Baha, Molecular Biology and Biotechnology Laboratory, Pan African University for Basic Sciences, Technology and Innovation (PAUSTI), Kenya, Department of Biology, SNV Faculty, Blida 1 University, Algeria, Animal Ecobiology Laboratory, Higher Normal School, Kouba, Algiers, Algeria, Anatomy Pathology Service, CHU Beni Messous, Algiers, Algeria

Chapter 2. Next-Generation Sequencing and Omics Data Analysis Techniques / Charles Oluwaseun Adetunji, Frank Abimbola Ogundolie, Olugbemi Tope Olaniyan, Omosigho, Omoruyi Pius, Kehinde Kazeem Kanmodi and Lawrence Achilles Nnyanzi, Applied Microbiology, Biotechnology and Nanotechnology Laboratory, Department of Microbiology, Edo University Iyamho, PMB 04, Auchi, Edo State, Nigeria, Department of Biotechnology, Baze University Abuja, Nigeria, Laboratory for Reproductive Biology and Developmental Programming, Department of Physiology, Edo University Iyamho, Nigeria 4School of Health and Life Sciences, Teesside University, Middlesbrough, United Kingdom.

Notes:

Includes bibliographical references and index.

Description based on print version record.

Other Format:

Print version: Dash, Sujata Advances in Bioinformatics and Big Data Analytics

ISBN:

9798886978506