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Computational biology. --- Bioinformatics. --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Bioinformatics --- Data processing --- Information systems
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The Institute for Mathematical Sciences at the National University of Singapore organized a program on "Post-Genome Knowledge Discovery" from January to June 2002. The program focused on the computational and statistical analysis of sequences and genetics, and the mathematical modeling of complex biological interactions, which are critical to the accurate annotation of genomic sequences, the study of the interplay between genes and proteins, and the study of the genetic variability of species. As part of the program, tutorials for graduate students and newcomers to this transdisciplinary area
Genetics --- Genetics. --- Biology --- Embryology --- Mendel's law --- Adaptation (Biology) --- Breeding --- Chromosomes --- Heredity --- Mutation (Biology) --- Variation (Biology) --- Mathematics. --- Information systems
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Complex analysis --- Discrete mathematics --- Molecular biology --- Computer science --- Programming --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- discrete wiskunde --- complexe analyse (wiskunde) --- informatica --- database management --- programmatielogica --- robots --- moleculaire biologie
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This volume contains the papers presented at the 12th Annual International ConferenceonREsearchin COmputationalMolecularBiology(RECOMB2008) held in Singapore, March 30-April 2, 2008. The RECOMB conference series was founded in 1997 by Sorin Istrail, Pavel Pevzner and Michael Waterman. Its history is summarized in the table herein. The general development of the RECOMB conference series is guided by a Steering Committee. RECOMB 2008 was hosted by the National University of Singapore and held at the University Cultural Centre. The Conference Chair was Limsoon Wong, who was supported by a 16-member-strong Organizing Committee. Out of 193 papers submitted to RECOMB 2008, the Program Committee (PC) selected 34 papers for presentation at the conference. The PC consisted of 46 members, who could further draw on the help of subreviewers. Three PC members with possible help of the external reviewers ?rst reviewed each paper, subsequently a Web-based discussion led to the ?nal selection of papers. This year, RECOMB and the journal Genome Research teamed up to - fer authors Genome Research as an alternative forum for publication. Appro- mately 55 of the RECOMB submissions, selected by a subset of the PC headed by Sera?m Batzoglou, were forwarded to Genome Research for consideration.
Complex analysis --- Discrete mathematics --- Molecular biology --- Computer science --- Programming --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- discrete wiskunde --- complexe analyse (wiskunde) --- informatica --- database management --- programmatielogica --- robots --- moleculaire biologie
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Operational research. Game theory --- Biomathematics. Biometry. Biostatistics --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- patroonherkenning --- IR (information retrieval) --- stochastische analyse --- bio-informatica --- medische informatica --- biometrie --- database management --- informatietechnologie --- robots
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The field of bioinformatics has two main objectives: the creation and maintenance of biological databases, and the discovery of knowledge from life sciences data in order to unravel the mysteries of biological function, leading to new drugs and therapies for human disease. Life sciences data come in the form of biological sequences, structures, pathways, or literature. One major aspect of discovering biological knowledge is to search, predict, or model specific patterns of a given dataset, which have some relevance to an important biological phenomenon or another dataset. To date, many pattern recognition algorithms have been applied or catered to address a wide range of bioinformatics problems. The 2006 Workshop of Bioinformatics in Pattern Recognition (PRIB 2006) marks the beginning of a series of workshops that is aimed at gathering researchers applying pattern recognition algorithms in an attempt to resolve problems in computational biology and bioinformatics. This volume presents the proceedings of Workshop PRIB 2006 held in Hong Kong, China, on August 20, 2006. It includes 19 technical contributions that were selected by the Program Committee from 43 submissions. We give a brief introduction to pattern recognition in bioinformatics in the first paper. The rest of the volume consists of three parts. Part 1: signal and motif detection, and gene selection. Part 2: models of DNA, RNA, and protein structures. Part 3: biological databases and imaging.
Bioinformatics --- Computational biology --- Computer vision in medicine --- Bio-informatique --- Vision par ordinateur en médecine --- Congresses. --- Congrès --- Congresses --- Computational Biology --- Biology --- Biological Science Disciplines --- Natural Science Disciplines --- Disciplines and Occupations --- Computer Science --- Biology - General --- Engineering & Applied Sciences --- Health & Biological Sciences --- Life sciences. --- Database management. --- Information storage and retrieval. --- Artificial intelligence. --- Pattern recognition. --- Bioinformatics. --- Life Sciences. --- Computational Biology/Bioinformatics. --- Pattern Recognition. --- Database Management. --- Artificial Intelligence (incl. Robotics). --- Information Storage and Retrieval. --- Bio-informatics --- Biological informatics --- Information science --- Systems biology --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Biosciences --- Sciences, Life --- Science --- Data processing --- Optical pattern recognition. --- Information storage and retrieva. --- Artificial Intelligence. --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval
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High-throughput sequencing and functional genomics technologies have given us a draft human genome sequence and have enabled large-scale genotyping and gene expression profiling of human populations. Databases containing large number of sequences, polymorphisms, and gene expression profiles of normal and diseased tissues in different clinical states are rapidly being generated for human and model organisms. Bioinformatics is thus rapidly growing in importance in the annotation of genomic sequences, in the understanding of the interplay between genes and proteins, in the analysis the genetic va
Bioinformatics --- Biology --- Data processing.
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The field of bioinformatics has two main objectives: the creation and maintenance of biological databases, and the discovery of knowledge from life sciences data in order to unravel the mysteries of biological function, leading to new drugs and therapies for human disease. Life sciences data come in the form of biological sequences, structures, pathways, or literature. One major aspect of discovering biological knowledge is to search, predict, or model specific patterns of a given dataset, which have some relevance to an important biological phenomenon or another dataset. To date, many pattern recognition algorithms have been applied or catered to address a wide range of bioinformatics problems. The 2006 Workshop of Bioinformatics in Pattern Recognition (PRIB 2006) marks the beginning of a series of workshops that is aimed at gathering researchers applying pattern recognition algorithms in an attempt to resolve problems in computational biology and bioinformatics. This volume presents the proceedings of Workshop PRIB 2006 held in Hong Kong, China, on August 20, 2006. It includes 19 technical contributions that were selected by the Program Committee from 43 submissions. We give a brief introduction to pattern recognition in bioinformatics in the first paper. The rest of the volume consists of three parts. Part 1: signal and motif detection, and gene selection. Part 2: models of DNA, RNA, and protein structures. Part 3: biological databases and imaging.
Operational research. Game theory --- Biomathematics. Biometry. Biostatistics --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- patroonherkenning --- IR (information retrieval) --- stochastische analyse --- bio-informatica --- medische informatica --- biometrie --- database management --- informatietechnologie --- robots
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Molecular biology --- Biologie moléculaire --- Computer simulation --- Congresses --- Simulation par ordinateur --- Congrès --- Genomics --- Computational Biology --- Sequence Analysis --- Gene Expression --- Biology --- Genetic Techniques --- Genetic Processes --- Genetics --- Genetic Phenomena --- Investigative Techniques --- Biological Science Disciplines --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Natural Science Disciplines --- Phenomena and Processes --- Disciplines and Occupations --- Computer Science --- Biophysics --- Engineering & Applied Sciences --- Health & Biological Sciences --- Molecular biochemistry --- Molecular biophysics --- Computer science. --- Data structures (Computer science). --- Algorithms. --- Computer science --- Database management. --- Artificial intelligence. --- Bioinformatics. --- Computer Science. --- Algorithm Analysis and Problem Complexity. --- Data Structures. --- Discrete Mathematics in Computer Science. --- Database Management. --- Artificial Intelligence (incl. Robotics). --- Computational Biology/Bioinformatics. --- Mathematics. --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- Systems biology --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Computer mathematics --- Discrete mathematics --- Algorism --- Algebra --- Arithmetic --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- File organization (Computer science) --- Abstract data types (Computer science) --- Informatics --- Science --- Data processing --- Mathematics --- Foundations --- Biochemistry --- Biomolecules --- Computer software. --- Data structures (Computer scienc. --- Computational complexity. --- Artificial Intelligence. --- Complexity, Computational --- Software, Computer --- Computer systems --- Computer science—Mathematics.
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This Festschrift volume, published in honour of Peter Buneman, contains contributions written by some of his colleagues, former students, and friends. In celebration of his distinguished career a colloquium was held in Edinburgh, Scotland, 27-29 October, 2013. The articles presented herein belong to some of the many areas of Peter's research interests.
Engineering & Applied Sciences --- Computer Science --- Computer science. --- Programming languages (Electronic computers). --- Computer logic. --- Database management. --- Computer Science. --- Database Management. --- Programming Languages, Compilers, Interpreters. --- Logics and Meanings of Programs. --- Computer science --- Computational complexity --- Mathematics --- Logic design. --- Design, Logic --- Design of logic systems --- Digital electronics --- Electronic circuit design --- Logic circuits --- Machine theory --- Switching theory --- Informatics --- Science --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Computer science logic --- Logic, Symbolic and mathematical --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Languages, Artificial --- Compilers (Computer programs). --- Compilers and Interpreters. --- Computer Science Logic and Foundations of Programming. --- Compiling programs (Computer programs) --- Computer programs --- Programming software --- Systems software
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