MARC Record from marc_columbia

LEADER: 02403cam a2200385Ii 4500
001 10694354
005 20140423151423.0
008 130717t20142014enkaf b 001 0 eng d
015 $aGBB378789$2bnb
016 7 $a016488584$2Uk
020 $a9780199651566 (pbk.)
020 $a0199651566 (pbk.)
035 $a(OCoLC)ocn858004868
035 $a(OCoLC)858004868
035 $a(NNC)10694354
040 $aUKMGB$beng$cUKMGB$dYDXCP$dCDX$dTEF$dMUU$dCUI
050 4 $aQH441.2$b.L47 2014
082 04 $a570.285$223
100 1 $aLesk, Arthur M.,$eauthor.
245 10 $aIntroduction to bioinformatics /$cArthur M. Lesk.
250 $a4th edition.
263 $a201311
264 1 $aOxford :$bOxford University Press,$c2014.
264 4 $c©2014.
300 $axvi, 371 pages, 4 pages of plates :$billustrations (some color) ;$c27 cm.
336 $atext$2rdacontent
337 $aunmediated$2rdamedia
338 $avolume$2rdacarrier
500 $aPrevious edition: 2008.
504 $aIncludes bibliographical references and index.
505 0 $a1. Introduction -- 2. Genome organization and evolution -- 3. Scientific publications and archives: media, content, and access -- 4. Archives and information retrieval -- 5. Alignments and phylogenetic trees -- 6. Structural bioinformatics and drug discovery -- 7. Introduction to systems biology -- 8. Metabolic pathways -- 9. Gene expression and regulation.
520 3 $aFully revised and updated, the fourth edition of Introduction to Bioinformatics shows how bioinformatics can be used as a powerful set of tools for retrieving and analyzing this biological data, and how bioinformatics can be applied to a wide range of disciplines such as molecular biology, medicine, biotechnology, forensic science, and anthropology. This new edition contains two new chapters, with significantly increased coverage of metabolic pathways, and gene expression and regulation. Written for students without a detailed prior knowledge of programming, this book is the perfect introduction to the field of bioinformatics, providing friendly guidance and advice on how to use various methods and techniques. Additionally, frequent examples, self-test questions, problems, and exercises are incorporated throughout the text to encourage self-directed learning.
650 0 $aBioinformatics.
650 2 $aComputational Biology.
852 00 $bhsl,stx$hQH441.2$i.L47 2014