| 000 | 03267cam a2200409 i 4500 | ||
|---|---|---|---|
| 001 | 17612560 | ||
| 003 | OSt | ||
| 005 | 20220106022447.0 | ||
| 008 | 130204s2013 flua b 001 0 eng | ||
| 010 | _a 2013003654 | ||
| 020 | _a9781584884637 (hardback) | ||
| 040 |
_aDLC _beng _cDLC _erda _dDLC |
||
| 042 | _apcc | ||
| 050 | 0 | 0 |
_aQH323.5 _b.R38 2013 |
| 082 | 0 | 0 |
_a571.7 _223 |
| 084 |
_aMAT029000 _aCOM051300 _aSCI010000 _2bisacsh |
||
| 100 | 1 |
_aRay, Animesh, _d1954- |
|
| 245 | 1 | 0 |
_aIntroduction to biological networks / _cAlpan Raval, Institute of Mathematical Sciences, Claremont Graduate University, Animesh Ray, School of Applied Life Sciences Keck Graduate Institute. |
| 264 | 1 |
_aBoca Raton : _bCRC Press, Taylor & Francis Group, _c[2013] |
|
| 300 |
_axiii, 321 pages : _billustrations ; _c25 cm. |
||
| 336 |
_atext _2rdacontent |
||
| 337 |
_aunmediated _2rdamedia |
||
| 338 |
_avolume _2rdacarrier |
||
| 490 | 0 | _aChapman & Hall/CRC mathematical & computational biology | |
| 504 | _aIncludes bibliographical references and index. | ||
| 520 |
_a"Preface In the 1940s and 1950s, biology was transformed by physicists and physical chemists, who employed simple yet powerful concepts and engaged the powers of genetics to infer mechanisms of biological processes. The biological sciences borrowed from the physical sciences the notion of building intuitive, testable, and physically realistic models by reducing the complexity of biological systems to the components essential for studying the problem at hand. Molecular biology was born. A similar migration of physical scientists and of methods of physical sciences into biology has been occurring in the decade following the complete sequencing of the human genome, whose discrete character and similarity to natural language has additionally facilitated the application of the techniques of modern computer science. Furthermore, the vast amount of genomic data spawned by the sequencing projects has led to the development and application of statistical methods for making sense of this data. The sheer amount of data at the genome scale that is available to us today begs for descriptions that go beyond simple models of the function of a single gene to embrace a systemlevel understanding of large sets of genes functioning in unison. It is no longer sufficient to understand how a single gene mutation causes a change in its product's biochemical function, although this is in many cases still an important problem. It is now possible to address how the consequences of a mutation might reverberate through the interconnected system of genes and their products within the cell"-- _cProvided by publisher. |
||
| 650 | 0 |
_aBiological systems _xMathematical models. |
|
| 650 | 0 |
_aSystems biology _xMathematical models. |
|
| 650 | 0 | _aComputational biology. | |
| 650 | 7 |
_aMATHEMATICS / Probability & Statistics / General. _2bisacsh |
|
| 650 | 7 |
_aCOMPUTERS / Programming / Algorithms. _2bisacsh |
|
| 650 | 7 |
_aSCIENCE / Biotechnology. _2bisacsh |
|
| 700 | 1 |
_aRaval, Alpan, _d1968- |
|
| 906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
||
| 942 |
_2ddc _cBK |
||
| 999 |
_c448907 _d448907 |
||