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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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2
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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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3
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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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