$170.00 Original price was: $170.00.$21.00Current price is: $21.00.
Author: Amit Kumar Tyagi
Publication Date: November 27, 2022
Language: English
ISBN: 9780323983525, 9780323985765
Data Science for Genomics is a foundational guide that presents the concepts of data science as they pertain to genomics. It covers the process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. The book includes sections on Data Science, Machine Learning, Deep Learning, data analysis, and visualization techniques.
The book provides an in-depth understanding of the fundamentals of Genomics, Genetics, Transcriptomes, and Proteomes as basic concepts of molecular biology. It covers DNA and key features of the human genome, as well as the genomes of eukaryotes and prokaryotes.
Techniques that are more specifically used for studying genomes are described in the order in which they are used in a genome project, including methods for constructing genetic and physical maps. DNA sequencing methodology and the strategies used to assemble a contiguous genome sequence are also discussed.
The book explains methods for identifying genes in a genome sequence and determining the functions of those genes in the cell. It also covers how the information contained in the genome is released and made available to the cell, as well as methods centered on cloning and PCR.
Data Science for Genomics provides a roadmap of future trends suitable for innovative Data Science research and practice. It includes topics such as Blockchain technology for securing data at end user/server side and presents real-world case studies, open issues, and challenges faced in Genomics, including future research directions and a separate chapter for Ethical Concerns.
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