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ISBN 9783030456061
DDC 570.285
Tác giả CN Ramsden, Jeremy
Nhan đề Bioinformatics : an introduction / Jeremy Ramsden
Lần xuất bản 4th ed.
Thông tin xuất bản Cham : Springer, 2023
Mô tả vật lý 402 pages. : illustrations (color) ; cm.
Tùng thư Computational biology
Phụ chú Previous edition: 2015
Tóm tắt 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
Từ khóa tự do Molecular biology data analysis
Từ khóa tự do Genomics
Từ khóa tự do Bioinformatics
Từ khóa tự do Computational biology
Từ khóa tự do Proteomics
Khoa Khoa Khoa học Ứng dụng và Công nghệ
Địa chỉ Thư Viện Đại học Nguyễn Tất Thành
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100 |aRamsden, Jeremy
245 |aBioinformatics : |ban introduction / |cJeremy Ramsden
250 |a4th ed.
260 |aCham : |bSpringer, |c2023
300 |a402 pages. : |billustrations (color) ; |ccm.
490 |aComputational biology
500 |aPrevious edition: 2015
520 |aThis 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
653 |aMolecular biology data analysis
653 |aGenomics
653 |aBioinformatics
653 |aComputational biology
653 |aProteomics
690 |aKhoa Khoa học Ứng dụng và Công nghệ
691 |aKhoa học Y sinh - Thẩm mỹ
852 |aThư Viện Đại học Nguyễn Tất Thành
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