01920nam a2200265Ia 450000100070000000500170000700800410002401000170006502000250008202000250010703500240013204000470015604200080020305000250021108200210023608400230025724500750028026000590035530000430041450400500045752010690050765000270157670000270160370000240163030710020160527185506.0110527s2011    enka     b    001 0 eng    a  2011022989  a9781107011465 (hbk.)  a9781107648876 (pbk.)  a(OCoLC)ocn730054563  aDLCcDLCdYDXdYDXCPdUKMGBdCDXdBWXdDLC  apcc00aQH324.2b.B5474 201100a572.8bB6154223  aSCI0290002bisacsh00aBioinformatics for biologistscedited by Pavel Pevzner and Ron Shamir.  aCambridgeaNew YorkbCambridge University Pressc2011.  axxix, 362 p.bill. (some col.)c26 cm.  aIncludes bibliographical references and index  a"The computational education of biologists is changing to prepare students for facing the complex datasets of today's life science research. In this concise textbook, the authors' fresh pedagogical approaches lead biology students from first principles towards computational thinking. A team of renowned bioinformaticians take innovative routes to introduce computational ideas in the context of real biological problems. Intuitive explanations promote deep understanding, using little mathematical formalism. Self-contained chapters show how computational procedures are developed and applied to central topics in bioinformatics and genomics, such as the genetic basis of disease, genome evolution or the tree of life concept. Using bioinformatic resources requires a basic understanding of what bioinformatics is and what it can do. Rather than just presenting tools, the authors - each a leading scientist - engage the students' problem-solving skills, preparing them to meet the computational challenges of their life science careers"--cProvided by publisher. 0aBioinformatics.2Local1 aPevzner, Pavel.2Local1 aShamir, Ron.2Local