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Ferreira, Carlos E.
Advances in Bioinformatics and Computational Biology 5th Brazilian Symposium on Bioinformatics, BSB 2010, Rio de Janeiro, Brazil, August 31-September 3, 2010. Proceedings / [electronic resource] : edited by Carlos E. Ferreira, Satoru Miyano, Peter F. Stadler. - IX, 81p. online resource. - Lecture Notes in Computer Science, 6268 0302-9743 ; .
Full 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.
This 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.
9783642150609
Computer science.
Computer software.
Database management.
Artificial intelligence.
Optical pattern recognition.
Bioinformatics.
Computer Science.
Artificial Intelligence (incl. Robotics).
Computation by Abstract Devices.
Algorithm Analysis and Problem Complexity.
Database Management.
Computational Biology/Bioinformatics.
Pattern Recognition.
Q334-342 TJ210.2-211.495
006.3
Advances in Bioinformatics and Computational Biology 5th Brazilian Symposium on Bioinformatics, BSB 2010, Rio de Janeiro, Brazil, August 31-September 3, 2010. Proceedings / [electronic resource] : edited by Carlos E. Ferreira, Satoru Miyano, Peter F. Stadler. - IX, 81p. online resource. - Lecture Notes in Computer Science, 6268 0302-9743 ; .
Full 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.
This 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.
9783642150609
Computer science.
Computer software.
Database management.
Artificial intelligence.
Optical pattern recognition.
Bioinformatics.
Computer Science.
Artificial Intelligence (incl. Robotics).
Computation by Abstract Devices.
Algorithm Analysis and Problem Complexity.
Database Management.
Computational Biology/Bioinformatics.
Pattern Recognition.
Q334-342 TJ210.2-211.495
006.3