All about bioinformatics : from beginner to expert /

All About Bioinformatics: From Beginner to Expert provides readers with an overview of the fundamentals and advances in the field of bioinformatics, as well as some future directions. Each chapter is didactically organized and includes introduction, applications, tools, and future directions to cove...

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Bibliographic Details
Main Author: Hasija, Yasha (Author)
Corporate Author: ScienceDirect (Online service)
Format: eBook
Language:English
Published: Amsterdam : Academic Press, 2023.
Subjects:
Online Access:Connect to the full text of this electronic book

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245 1 0 |a All about bioinformatics :  |b from beginner to expert /  |c Yasha Hasija. 
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505 0 |a What is bioinformatics? -- Introduction to biological databases -- Statistical methods in bioinformatics -- Algorithms in computational biology -- Genetic variations -- Structural bioinformatics -- High throughput technology -- Drug informatics -- A machine learning approach to bioinformatics -- Systems and network biology -- Bioinformatics workflow management system -- Data handling using Python. 
520 |a All About Bioinformatics: From Beginner to Expert provides readers with an overview of the fundamentals and advances in the field of bioinformatics, as well as some future directions. Each chapter is didactically organized and includes introduction, applications, tools, and future directions to cover the topics thoroughly. The book covers both traditional topics such as biological databases, algorithms, genetic variations, static methods, and structural bioinformatics, as well as contemporary advanced topics such as high-throughput technologies, drug informatics, system and network biology, and machine learning. It is a valuable resource for researchers and graduate students who are interested to learn more about bioinformatics to apply in their research work. Presents a holistic learning experience, beginning with an introduction to bioinformatics to recent advancements in the field Discusses bioinformatics as a practice rather than in theory focusing on more application-oriented topics as high-throughput technologies, system and network biology, and workflow management systems Encompasses chapters on statistics and machine learning to assist readers in deciphering trends and patterns in biological data. 
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