000			04683nam a2200385 i 4500
999			_c398379 _d398379 _x1
001			398379
003			ES-MaUEC
005			20240429180429.0
006			a|||||o|||| 00| 0
007			cr nn 008mamaa
008			230915s2023 sz | o |||| 0|eng d
020			_a9783030456078
024	7		_a10.1007/978-3-030-45607-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQH324.2 _b2023 EB
100	1		_aRamsden, Jeremy _eautor _4http://id.loc.gov/vocabulary/relators/aut _9689673
245	1	0	_aBioinformatics : _bAn Introduction _cby Jeremy Ramsden
250			_a4th ed 2023
264		1	_aCham _bSpringer International Publishing _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aComputational Biology _x2662-2432
505	0		_aIntroduction -- Part I: Overview -- Genotype, Phenotype and Environment -- Regulation and Control -- Evolution -- Origins of Life and Earth Prehistory -- Part II: Information -- The Nature of Information -- The Transmission of Information -- Sets and Combinatorics -- Probability and Likelihood -- Statistics and Causation -- Randomness and Complexity -- Systems and Networks -- Useful Algorithms -- Part III: Biology -- The Nature of Living Things -- The Molecules of Life -- Environment and Ecology -- Part IV: Omics -- Genomics -- Transcriptomics and Proteomics -- Microbiomics -- Viruses -- Single Cell Analysis and Multiomics -- Biological Signaling -- Regulatory Networks -- The Nervous System -- Phenomics -- Part V: Applications -- Medicine and Disease -- Drug Discovery -- Forensic investigation -- Pandemics -- Domestication -- The Organization of Knowledge.
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. Dr. Jeremy Ramsden is Hon. Prof. of Nanotechnology in the Department of Biomedical Research at the University of Buckingham, UK.
988			_aSpringer_Computer_2023
650		7	_2embne _9160489 _aBioinformática
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-45607-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2024 _dz _eb _zSI