000			03963cam a22003498i 4500
001			on1109404443
003			OCoLC
007			ta
008			210405s2020 njua b 001 0 eng
020			_a9781119335580
020			_a1119335582
035			_a(OCoLC)1109404443
060			_aQU58 _b.B565 2020
245	0	0	_aBioinformatics / _cedited by Andreas D. Baxevanis, Gary D. Bader, and David S. Wishart.
250			_a4th ed.
260			_aHoboken, NJ : _bWiley, _c2020.
300			_axvii, 625 p. : _bcol. ill.
500			_aPrevious ed.: Bioinformatics : a practical guide to the analysis of genes and proteins. c2005.
504			_aIncludes bibliographical references and index.
505	0		_aBiological sequence databases / Andreas D. Baxevanis -- Information retrieval from biological databases / Andreas D. Baxevanis -- Assessing pairwise sequence similarity : BLAST and FASTA / Andreas D. Baxevanis -- Genome browsers / Tyra G. Wolfsberg -- Genome annotation / David S. Wishart -- Predictive methods using RNA sequences / Michael F. Sloma, Michael Zuker, and David H. Mathews -- Predictive methods using protein sequences / Jonas Reeb, Tatyana Goldberg, Yanay Ofran, and Burkhard Rost -- Multiple sequence alignments / Fabian Sievers, Geoffrey J. Barton, and Desmond G. Higgins -- Molecular evolution and phylogenetic analysis / Emma J. Griffiths and Fiona S.L. Brinkman -- Expression analysis / Marieke L. Kuijjer, Joseph N. Paulson, and John Quackenbush -- Proteomics and protein identification by mass spectrometry / Sadhna Phanse and Andrew Emili -- Protein structure prediction and analysis / David S. Wishart -- Biological networks and pathways / Gary D. Bader -- Metabolomics / David S. Wishart -- Population genetics / Lynn B. Jorde and W. Scott Watkins -- Metagenomics and microbial community analysis / Robert G. Beiko -- Translational bioinformatics / Sean D. Mooney and Stephen J. Mooney -- Statistical methods for biologists / Hunter N.B. Moseley.
520			_aThis fully revised Fourth Edition to a best-selling resource provides the reader with a hands-on guide to computational biology, primarily in the area of sequence analysis. The subject matter will cover a broad spectrum of concepts in bioinformatics, beginning with an overview of biological databases and ending with a series of chapters on predictive and comparative algorithms. Using relevant biological examples, the book will provide background on and strategies for using many of the most powerful and commonly-used algorithms for sequence-based discovery. Given the explosion in the number of organisms whose genomes have been sequenced over the last several years, the emergence of new types of data sets (particularly those derived using next-generation sequencing technologies), and increasing emphasis on being able to make effective use of "big data", the book is both timely and important to investigators in molecular biology and related fields. With a full-color, enlarged page design, this edition offers the most readable, up-to-date, and thorough introduction to the field for biologists. The new "Foundations" section insures that readers have a firm understanding of the technologies that generate the data, as well as the essential statistical and programming tools. Features include special boxes, enhanced use of real examples, and problem sets with answers provided on the book's dedicated website (www.wiley.com/bioinformatics). A glossary and appendix of sample file formats rounds out the book's reader-friendly, 'hands-on' treatment.
650		4	_aComputational biology _xMethods.
650		4	_aSequence analysis _xMethods.
650		4	_aBase sequence.
650		4	_aDatabases, Nucleic Acid.
650		4	_aDatabases, Protein.
700	1		_aBaxevanis, Andreas D.
700	1		_aBader, Gary D.
700	1		_aWishart, David Scott.
740	0		_aBioinformatics : a practical guide to the analysis of genes and proteins.
942			_2nlm _cBK
999			_c677 _d677