Book Image

Deep Learning for Genomics

By : Upendra Kumar Devisetty
Book Image

Deep Learning for Genomics

By: Upendra Kumar Devisetty

Overview of this book

Deep learning has shown remarkable promise in the field of genomics; however, there is a lack of a skilled deep learning workforce in this discipline. This book will help researchers and data scientists to stand out from the rest of the crowd and solve real-world problems in genomics by developing the necessary skill set. Starting with an introduction to the essential concepts, this book highlights the power of deep learning in handling big data in genomics. First, you’ll learn about conventional genomics analysis, then transition to state-of-the-art machine learning-based genomics applications, and finally dive into deep learning approaches for genomics. The book covers all of the important deep learning algorithms commonly used by the research community and goes into the details of what they are, how they work, and their practical applications in genomics. The book dedicates an entire section to operationalizing deep learning models, which will provide the necessary hands-on tutorials for researchers and any deep learning practitioners to build, tune, interpret, deploy, evaluate, and monitor deep learning models from genomics big data sets. By the end of this book, you’ll have learned about the challenges, best practices, and pitfalls of deep learning for genomics.
Table of Contents (18 chapters)
Part 1 – Machine Learning in Genomics
Part 2 – Deep Learning for Genomic Applications
Part 3 – Operationalizing models

Genome sequencing

After the discovery of the DNA structure, scientists were curious to determine the exact sequence of DNA (aka interpreting the whole book). A lot of pioneering discoveries paved the way for the sequencing of DNA, starting with Walter Gilbert when he published the first nucleotide sequence of the DNA lac operator consisting of 24 base pairs in 1973 ( This was followed by Frederick Sanger who for the first time sequenced the complete DNA genome of the phi X174 bacteriophage ( Sanger pioneered the first-ever sequencing of genes through the method of DNA sequencing with chain-terminating inhibitors. In the last 50 years, available sequencing technologies have been restricted to relatively small genomes, but advances in DNA sequencing technologies such as next-generation sequencing (NGS) have revolutionized genome sequencing because of their cost, speed, throughput, and accuracy...