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Bioinformatics : an introduction / Jeremy Ramsden
Cham : Springer, 2023
402 pages. : illustrations (color) ; cm.
Ký hiệu phân loại (DDC): 570.285
This invaluable textbook presents a self-contained introduction to the field of bioinformatics. Providing a comprehensive breadth of coverage while remaining accessibly concise, the text promotes a deep understanding of the field, supported by basic mathematical concepts, an emphasis on biological knowledge, and a holistic approach that highlights the connections unifying bioinformatics with other areas of science. The thoroughly revised and enhanced fourth edition features new chapters focusing on regulation and control networks, the origins of life, evolution, statistics and causation, viruses, the microbiome, single cell analysis, drug discovery and forensic applications. This edition additionally includes new and updated material on the ontology of bioinformatics, data mining, ecosystems, and phenomics. Also covered are new developments in sequencing technologies, gene editing methods, and modelling of the brain, as well as state-of-the-art medical applications. Of special topicality is a new chapter on bioinformatics aspects of the coronavirus pandemic. Topics and features: Explains the fundamentals of set theory, combinatorics, probability, likelihood, causality, clustering, pattern recognition, randomness, complexity, systems, and networks Discusses topics on ontogeny, phylogeny, genome structure, and regulation, as well as aspects of molecular biology Critically examines the most significant practical applications, offering detailed descriptions of both the experimental process and the analysis of the data Provides a varied selection of problems throughout the book, to stimulate further thinking Encourages further reading through the inclusion of an extensive bibliography This classic textbook builds upon the successful formula of previous editions with coverage of the latest advances in this exciting and fast-moving field. With its interdisciplinary scope, this unique guide will prove to be an essential study companion to a broad audience of undergraduate and beginning graduate students, spanning computer scientists focusing on bioinformatics, students of the physical sciences seeking a helpful primer on biology, and biologists desiring to better understand the theory underlying important applications of information science in biology
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Computational genomics with R / Altuna Akalin
Boca Raton, FL : CRC Press, 2021
xxii, 440 pages. : illustrations (chiefly color) ; 26 cm.
Ký hiệu phân loại (DDC): 572.86
Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology
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Concepts in bioinformatics and genomics / Jamil Momand, Alison McCurdy
New York : Oxford : Oxford University Press., 2017
xxii, 477 pages. : color illustrations ; 28 cm.
Ký hiệu phân loại (DDC): 570.285
Concepts in Bioinformatics and Genomics takes a conceptual approach to its subject, balancing biology, mathematics, and programming while highlighting relevant real-world applications and providing students with the tools to compute and analyze biological data. It presents many thought-provoking exercises that will stretch students' imaginations and give them a deeper understanding of the molecular biology, basic probability, software programs, and program-coding methodology underpinning this exciting field.
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4
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Phylogenomics : an introduction / Christoph Bleidorn
Cham, Switzerland : Springer, 2017
227 pages. : illustrations
Ký hiệu phân loại (DDC): 576.88
This unique textbook provides a clear and concise overview of the key principles of the complex field of phylogenomics, with a particular focus on sequencing technologies that are crucial to studying and understanding interrelations in evolutionary genomics. It includes chapters dedicated to the analysis of nucleotide sequences using assembling and alignment methods and also discusses the main strategies for phylogenetic studies, systematic errors and their correction. This highly readable textbook is intended for graduate students and young researchers with an interest in phylogenetics and evolutionary developmental biology.
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