From Genes to Algorithms: Navigating the Biotechnology Data Revolution

Unraveling the Biotechnology Data Revolution: A Roadmap

Author(s): Pankaj Bhambri*, Sandeep Kautish and Yogita Gupta

Pp: 1-20 (20)

DOI: 10.2174/9789815324365125030004

* (Excluding Mailing and Handling)

Abstract

The chapter explores the profound influence of big data and advanced analytics on the biotechnology industry. The emergence of high-throughput sequencing technologies, CRISPR gene editing, and bioinformatics has led to the generation of an unprecedented amount of biological data. This chapter seeks to clarify how these extensive datasets are transforming the way we comprehend and manipulate biological systems. Through the analysis of case studies and cutting-edge research, we will investigate how data-driven methodologies are expediting advancements in genomics, personalized medicine, and synthetic biology. The chapter will also emphasize the incorporation of machine learning and artificial intelligence in the analysis and comprehension of intricate biological data, providing novel perspectives and resolutions to enduring biological inquiries.


Keywords: Artificial intelligence, Big data, Bioinformatics, CRISPR gene editing, Genomics, Machine learning, Synthetic biology.