Data Science for Genomics - Amit Kumar Tyagi - Books - Elsevier Science & Technology - 9780323983525 - December 2, 2022
In case cover and title do not match, the title is correct

Data Science for Genomics

Amit Kumar Tyagi

Price
A$ 227.49

Ordered from remote warehouse

Expected delivery Nov 15 - 26
Add to your iMusic wish list

Data Science for Genomics

Data Science for Genomics presents the foundational concepts of Data Science as they pertain to Genomics, encompassing the process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision making. The authors begin by presenting an introduction to Data Science, Machine Learning, Deep Learning, data analysis, and visualization techniques. The authors then present the fundamentals of Genomics, Genetics, Transcriptomes, and Proteomes as basic concepts of molecular biology, along with DNA and the key features of the human genome, as well as the genomes of eukaryotes and prokaryotes in general. Readers will learn how the information contained in the genome is released and made available to the cell, as well as methods centered on cloning and PCR, that were used in the pre-genomics era to examine individual genes. Techniques that are more specifically used for studying genomes are then 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 and methods for identifying genes in a genome sequence and determining the functions of those genes in the cell are presented, as well as the important issue of how chromatin structure influences genome expression. Readers will learn about the assembly of the transcription initiation complexes of prokaryotes and eukaryotes, along with a detailed discussion of DNA-binding proteins, these playing the central roles in the initial stages of genome expression. Each aspect of Genomics is aligned with associated Data Science concepts and methods including Machine Learning, Deep Learning, Artificial Intelligence, Data Privacy and Data Trust, Visual Data Analysis and Complex Data Analysis, Big Data Programming with Apache Spark and Hadoop, Blockchain technology for securing Genomic data, Cloud, Edge and Fog computing, as well as future research directions.
show more


300 pages

Media Books     Paperback Book   (Book with soft cover and glued back)
Released December 2, 2022
ISBN13 9780323983525
Publishers Elsevier Science & Technology
Pages 312
Dimensions 275 × 216 × 19 mm   ·   856 g
Language English  
Editor Abraham, Ajith, PhD (Pro Vice-Chancellor, Bennette University, India)
Editor Tyagi, Amit Kumar, PhD. (Senior Assistant Professor and Senior Researcher, School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India)

Show all

More by Amit Kumar Tyagi