000 03262nam a22005055i 4500
001 978-3-642-36223-1
003 DE-He213
005 20200420221255.0
007 cr nn 008mamaa
008 130321s2013 gw | s |||| 0|eng d
020 _a9783642362231
_9978-3-642-36223-1
024 7 _a10.1007/978-3-642-36223-1
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aManca, Vincenzo.
_eauthor.
245 1 0 _aInfobiotics
_h[electronic resource] :
_bInformation in Biotic Systems /
_cby Vincenzo Manca.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aXVIII, 384 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aEmergence, Complexity and Computation,
_x2194-7287 ;
_v3
520 _aThe book presents topics in discrete biomathematics. Mathematics has been widely used in modeling biological phenomena. However, the molecular and discrete nature of basic life processes suggests that their logic follow principles that are intrinsically based on discrete and informational mechanisms. The ultimate reason of  polymers, as key element of life, is directly based on the computational power of strings, and the intrinsic necessity of metabolism is related to the mathematical notion of multiset.   The switch of the two roots of bioinformatics suggests a change of perspective. In bioinformatics, the biologists ask computer scientists to assist them in processing biological data. Conversely, in infobiotics mathematicians and computer scientists investigate principles and theories yielding new interpretation keys of biological phenomena. Life is too important to be investigated by biologists alone, and though computers are essential to process data from biological laboratories, many fundamental questions about life can be appropriately answered by a perspicacious intervention of mathematicians, computer scientists, and physicists, who will complement the work of chemists, biochemists, biologists, and medical investigators.   The volume is organized in seven chapters. The first part is devoted to research topics (Discrete information and life, Strings and genomes, Algorithms and Biorhythms, Life Strategies), the second one to mathematical backgrounds (Numbers and Measures, Languages and Grammars, Combinations and Chances).
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aSystems biology.
650 0 _aBiomathematics.
650 0 _aComputational intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aMathematical and Computational Biology.
650 2 4 _aSystems Biology.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642362224
830 0 _aEmergence, Complexity and Computation,
_x2194-7287 ;
_v3
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-36223-1
912 _aZDB-2-ENG
942 _cEBK
999 _c52833
_d52833