| 000 | 01974nam a2200277Ia 4500 | ||
|---|---|---|---|
| 001 | 307100 | ||
| 005 | 20160527185506.0 | ||
| 008 | 110527s2011 enka b 001 0 eng | ||
| 010 | _a 2011022989 | ||
| 020 | _a9781107011465 (hbk.) | ||
| 020 | _a9781107648876 (pbk.) | ||
| 035 | _a(OCoLC)ocn730054563 | ||
| 040 |
_aDLC _cDLC _dYDX _dYDXCP _dUKMGB _dCDX _dBWX _dDLC |
||
| 042 | _apcc | ||
| 050 | 0 | 0 |
_aQH324.2 _b.B5474 2011 |
| 082 | 0 | 0 |
_a572.8 _bB6154 _223 |
| 084 |
_aSCI029000 _2bisacsh |
||
| 245 | 0 | 0 |
_aBioinformatics for biologists _cedited by Pavel Pevzner and Ron Shamir. |
| 260 |
_aCambridge _aNew York _bCambridge University Press _c2011. |
||
| 300 |
_axxix, 362 p. _bill. (some col.) _c26 cm. |
||
| 504 | _aIncludes bibliographical references and index | ||
| 520 |
_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. |
||
| 650 | 0 |
_aBioinformatics. _962419 _2Local |
|
| 700 | 1 |
_aPevzner, Pavel. _9263716 _2Local |
|
| 700 | 1 |
_aShamir, Ron. _9276325 _2Local |
|
| 999 |
_c225390 _d225390 |
||