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020 _a9781447167020
_9978-1-4471-6702-0
024 7 _a10.1007/978-1-4471-6702-0
_2doi
035 _ato000556474
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aQH324.2-324.25
072 7 _aPSA
_2bicssc
072 7 _aUB
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072 7 _aCOM014000
_2bisacsh
082 0 4 _a570.285
_223
100 1 _aRamsden, Jeremy.
_eauthor.
_9460200
245 1 0 _aBioinformatics
_helectronic resource
_bAn Introduction /
_cby Jeremy Ramsden.
250 _a3rd ed. 2015.
260 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2015.
300 _aXIX, 308 p. 34 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aComputational Biology,
_x1568-2684 ;
_v21
505 0 _aIntroduction -- Part I: Information -- The Nature of Information -- The Transmission of Information -- Sets and Combinatorics -- Probability and Likelihood -- Randomness and Complexity -- Systems, Networks and Circuits -- Algorithms -- Part II: Biology -- Introduction to Part II -- The Nature of Living Things -- The Molecules of Life -- Part III: Applications -- Introduction to Part III -- Genomics -- Proteomics -- The Glycome, Lipidome and Microbiome -- Interactomics -- The Nervous System -- Metabolomics and Metabonomics -- Phenomics -- Medical Applications -- Ecosystems Management -- The Organization of Knowledge.
520 _aThis comprehensive textbook/reference presents a self-contained guide to bioinformatics, defined in its broadest sense as the application of information science to biology. Thoroughly updated and considerably expanded, this third edition now includes material on the growing array of “-omics”; covering metagenomics, toxicogenomics, glycomics, lipidomics, microbiomics, and phenomics. New chapters have also been added on ecosystems management and the nervous system. Emphasis is placed on providing both a firm grounding in the core concepts, and a clear overview of the complete field of bioinformatics. Topics and features: Explains the fundamentals of information science relevant to biology, discussing set theory, combinatorics, probability, likelihood, clustering, pattern recognition, randomness, complexity, systems, and networks Covers both organismal (ontogeny and phylogeny, as well as genome structure) and molecular aspects Critically examines the most important practical applications of bioinformatics, providing 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 Contains an extensive bibliography offering a guide to further reading and to the latest reported research Combining the successful formula of the previous editions with significantly enhanced new content, this textbook serves as a complete study companion for undergraduates and the beginning graduate student. With its invaluable insights into the state-of-the-art of bioinformatics, the book is also ideal for physical scientists seeking a succinct guide to biology, and for biological scientists wishing to better understand the physicochemical and mathematical aspects underpinning the applications.
650 0 _aComputer Science.
_9155490
650 0 _aBioinformatics.
_9303853
650 0 _aCell Biology.
_9302220
650 0 _aComputational biology.
_9567463
650 0 _aSystem theory.
_9460201
650 0 _aBiophysics.
_9459674
650 0 _aBiological physics.
_9460202
650 1 4 _aComputer Science.
_9155490
650 2 4 _aComputational Biology/Bioinformatics.
_9306755
650 2 4 _aCell Biology.
_9302220
650 2 4 _aBioinformatics.
_9303853
650 2 4 _aComputer Appl. in Life Sciences.
_9305001
650 2 4 _aBiophysics and Biological Physics.
_9410468
650 2 4 _aSystems Theory, Control.
_9304010
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
830 0 _aComputational Biology,
_9321142
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-6702-0
912 _aZDB-2-SCS
999 _c410521