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024 7 $a10.1007/978-3-642-29066-4
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100   $a20120323d2012      u|             0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt
182   $cc
183   $acr
200 10$aEvolutionary Computation, Machine Learning and Data Mining in Bioinformatics$b[electronic resource] $e10th European Conference, EvoBIO 2012, Málaga, Spain, April 11-13, 2012, Proceedings /$fedited by Mario Giacobini, Leonardo Vanneschi, William S. Bush
205   $a1st ed. 2012.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2012.
215   $a1 online resource (XIII, 255 p. 76 illus.)
225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v7246
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-642-29065-5 
320   $aIncludes bibliographical references and author index.
330   $aThis book constitutes the refereed proceedings of the 10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2012, held in Málaga, Spain, in April 2012 co-located with the Evo* 2012 events. The 15 revised full papers presented together with 8 poster papers were carefully reviewed and selected from numerous submissions. Computational Biology is a wide and varied discipline, incorporating aspects of statistical analysis, data structure and algorithm design, machine learning, and mathematical modeling toward the processing and improved understanding of biological data. Experimentalists now routinely generate new information on such a massive scale that the techniques of computer science are needed to establish any meaningful result. As a consequence, biologists now face the challenges of algorithmic complexity and tractability, and combinatorial explosion when conducting even basic analyses.
410  0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v7246
606   $aBioinformatics
606   $aAlgorithms
606   $aDatabase management
606   $aArtificial intelligence
606   $aComputer science
606   $aArtificial intelligence?Data processing
606   $aComputational and Systems Biology
606   $aAlgorithms
606   $aDatabase Management
606   $aArtificial Intelligence
606   $aTheory of Computation
606   $aData Science
615  0$aBioinformatics.
615  0$aAlgorithms.
615  0$aDatabase management.
615  0$aArtificial intelligence.
615  0$aComputer science.
615  0$aArtificial intelligence?Data processing.
615 14$aComputational and Systems Biology.
615 24$aAlgorithms.
615 24$aDatabase Management.
615 24$aArtificial Intelligence.
615 24$aTheory of Computation.
615 24$aData Science.
676   $a570.285
702   $aGiacobini$b Mario$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aVanneschi$b Leonardo$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aBush$b William S$4edt$4http://id.loc.gov/vocabulary/relators/edt
712 12$aEvoBIO 2012
906   $aBOOK
912   $a996465995003316
996   $aEvolutionary Computation, Machine Learning and Data Mining in Bioinformatics$9774188
997   $aUNISA