000 03984nam a22006015i 4500
001 978-3-642-15060-9
003 DE-He213
005 20140220084544.0
007 cr nn 008mamaa
008 100821s2010 gw | s |||| 0|eng d
020 _a9783642150609
_9978-3-642-15060-9
024 7 _a10.1007/978-3-642-15060-9
_2doi
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aFerreira, Carlos E.
_eeditor.
245 1 0 _aAdvances in Bioinformatics and Computational Biology
_h[electronic resource] :
_b5th Brazilian Symposium on Bioinformatics, BSB 2010, Rio de Janeiro, Brazil, August 31-September 3, 2010. Proceedings /
_cedited by Carlos E. Ferreira, Satoru Miyano, Peter F. Stadler.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
300 _aIX, 81p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v6268
505 0 _aFull Papers -- Evolution of the Long Non-coding RNAs MALAT1 and MEN?/? -- Granger Causality in Systems Biology: Modeling Gene Networks in Time Series Microarray Data Using Vector Autoregressive Models -- Semi-supervised Approach for Finding Cancer Sub-classes on Gene Expression Data -- Bounds on the Transposition Distance for Lonely Permutations -- Insights on Haplotype Inference on Large Genotype Datasets -- Extended Abstracts -- An SVM Model Based on Physicochemical Properties to Predict Antimicrobial Activity from Protein Sequences with Cysteine Knot Motifs -- Enabling Annotation Provenance in Bioinformatics Workflow Applications -- BAT: A New Biclustering Analysis Toolbox -- Detection of Protein Domains in Eukaryotic Genome Sequences -- Discretization of Flexible-Receptor Docking Data.
520 _aThis book constitutes the proceedings of the 5th Brazilian Symposium on Bioinformatics, BSB 2010, held in Rio de Janeiro, Brazil, in August/September 2010. The 5 full papers and 5 extended abstracts presented were carefully reviewed and selected for inclusion in the book. The topics of interest vary in many areas of Bioinformatics, including sequence analysis, motifs, and pattern matching; biomedical text mining; biological databases, data management, integration; biological data mining; structural, comparative, and functional genomics; protein structure, modeling and simulation; gene identification, and regulation; gene expression analysis; gene and protein interaction and networks; molecular docking; molecular evolution and phylogenetics; computational systems biology; computational proteomics; statistical analysis of molecular sequences; algorithms for problems in computational biology; as well as applications in molecular biology, biochemistry, genetics, and associated subjects.
650 0 _aComputer science.
650 0 _aComputer software.
650 0 _aDatabase management.
650 0 _aArtificial intelligence.
650 0 _aOptical pattern recognition.
650 0 _aBioinformatics.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aComputation by Abstract Devices.
650 2 4 _aAlgorithm Analysis and Problem Complexity.
650 2 4 _aDatabase Management.
650 2 4 _aComputational Biology/Bioinformatics.
650 2 4 _aPattern Recognition.
700 1 _aMiyano, Satoru.
_eeditor.
700 1 _aStadler, Peter F.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642150593
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v6268
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-15060-9
912 _aZDB-2-SCS
912 _aZDB-2-LNC
999 _c112578
_d112578