Conferences related to Phylogeny

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2012 6th International Conference on Bioinformatics and Biomedical Engineering (iCBBE)

Bioinformatics, Computational Biology, Biomedical Engineering


2012 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy theory and foundations; stability of fuzzy systems; fuzzy methods and algorithms; fuzzy image, speech and signal processing; multimedia; fuzzy hardware and architectures; data mining.

  • 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy theory and foundations; stability of fuzzy systems; fuzzy methods and algorithms; fuzzy image, speech and signal processing; multimedia; fuzzy hardware and architectures; data mining.

  • 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy theory and foundations; stability of fuzzy systems; fuzzy methods and algorithms; fuzzy image, speech and signal processing; multimedia; fuzzy hardware and architectures; data mining.


2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)

The annual IEEE International Conference on Bioinformatics and Bioengineering covers complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, agriculture, environment, public health, drug design, and so on.

  • 2011 IEEE 11th International Conference on Bioinformatics & Bioengineering (BIBE)

    The annual IEEE International Conference on Bioinformatics and Bioengineering aims at building synergy between Bioinformatics and Bioengineering, two complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, agriculture, environment, public health, drug design.

  • 2010 International Conference on BioInformatics and BioEngineering (BIBE)

  • 2009 9th IEEE International Conference on BioInformatics and BioEngineering - BIBE

    The annual IEEE International Conference on Bioinformatics and Bioengineering aims at building synergy between Bioinformatics and Bioengineering, two complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, agriculture, environment, public health, drug design. Research and development in these two areas are impacting the science and technology in fields such as medicine, food production, forensics, etc.

  • 2008 8th IEEE International Conference on BioInformatics and BioEngineering - BIBE

    The annual IEEE International Conference on Bioinformatics and Bioengineering aims at building synergy between Bioinformatics and Bioengineering, two complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, agriculture, environment, public health, drug design.

  • 2007 7th IEEE International Conference on BioInformatics and BioEngineering - BIBE

    Bioinformatics and Bioengineering are complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, agriculture, environment, public health, drug design, and so on. Research and development in these two areas are impacting the science and technology of fields such as medicine, food production, forensics, etc. by advancing fundamental concepts in molecular biology and in medicine ,by helping us understand living organisms.

  • 2006 IEEE Symposium on Bioinformatics and Bioengineering - BIBE

  • 2005 IEEE Symposium on Bioinformatics and Biomedical Engineering - BIBE


2012 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

BIBM 2012 solicits high-quality original research papers (including significant work-in-progress) in any aspect of bioinformatics, biomedicine and healthcare informatics. New computational techniques and methods in machine learning; data mining; text analysis; pattern recognition; knowledge representation; databases; data modeling; combinatorics; stochastic modeling; string and graph algorithms; linguistic methods; robotics; constraint satisfaction; data visualization; parallel computation; data integration; modeling and simulation and their application in life science domain are especially encouraged.


2011 International Conference on Bioinformatics and Computational Biology (ICBCB)

ICBCB 2011, aims to bring together researchers, scientists, engineers, and scholar students to exchange and share their experiences, new ideas, and research results about all aspects of Bioinformatics and Computational Biology, and discuss the practical challenges encountered and the solutions adopted.


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Periodicals related to Phylogeny

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Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


Computing in Science & Engineering

Physics, medicine, astronomy—these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering (CiSE) presents scientific and computational contributions in a clear and accessible format. ...


Multimedia, IEEE

IEEE Multimedia Magazine covers a broad range of issues in multimedia systems and applications. Articles, product reviews, new product descriptions, book reviews, and announcements of conferences and workshops cover topics that include hardware and software for media compression, coding and processing; media representations and standards for storage, editing, interchange, transmission and presentation; hardware platforms supporting multimedia applications; operating systems suitable ...




Xplore Articles related to Phylogeny

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A Divide-and-Conquer Implementation of Three Sequence Alignment and Ancestor Inference

Feng Yue; Jijun Tang 2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007), 2007

In this paper, we present an algorithm to simultaneously align three biological sequences with affine gap model and infer their common ancestral sequence. Our algorithm can be further extended to perform tree alignment for more se- quences, and eventually unify the two procedures of phylo- genetic reconstruction and sequence alignment. The nov- elty of our algorithm is: it applies the ...


FNphasing: A Novel Fast Heuristic Algorithm for Haplotype Phasing Based on Flow Network Model

Jiaoyun Yang; Yun Xu; Xiaohui Yao; Guoliang Chen IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2013

An enormous amount of sequence data has been generated with the development of new DNA sequencing technologies, which presents great challenges for computational biology problems such as haplotype phasing. Although arduous efforts have been made to address this problem, the current methods still cannot efficiently deal with the incoming flood of large-scale data. In this paper, we propose a flow ...


Comparative Analysis of Two-Component Signal Transduction Systems in Six Synechococcus Strains - Two-Component Signal Transduction Systems in Synechococcus

Xiaowen Zhang; Naihao Ye; Chengwei Liang; Xiangyu Guan; Song Qin 2009 3rd International Conference on Bioinformatics and Biomedical Engineering, 2009

Cyanobacteria are photoautotrophic prokaryotes able to grow in a wide range of ecological environments and their signal transduction systems play important roles for environmental adaptation. Two-component signal transduction (TCST) systems show important roles in prokaryotes. Sequencing information of cyanobacterial genomes offers a unique opportunity to conduct a comprehensive comparative analysis of this signal transduction system. In this study, we extracted ...


Reconstructing phylogenetic network with ReTF algorithm (rearranging transcriptional factor)

Shamita Malik; Dolly Sharma 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

The term Phylogentics is the study of evolutionary relationship between different species, organisms or genes. These relationships are depicted as branched, tree like diagrams that provide insight into the events that occurred during the evolution process. These trees may also have a root which is known as the common ancestor. Building the "Tree of Life" has been the prime objective ...


Quartet based phylogeny reconstruction with answer set programming

G. Wu; Guohui Lin; Jia-Huai You 16th IEEE International Conference on Tools with Artificial Intelligence, 2004

Evolution is an important subarea of study in biological science, where given a set of species, the goal is to reconstruct their evolutionary history, or phylogeny. Many kinds of data associated with the species can be deployed for this task and many reconstruction methods have been proposed and examined in the literature. One very recent approach is to build a ...


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Educational Resources on Phylogeny

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eLearning

A Divide-and-Conquer Implementation of Three Sequence Alignment and Ancestor Inference

Feng Yue; Jijun Tang 2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007), 2007

In this paper, we present an algorithm to simultaneously align three biological sequences with affine gap model and infer their common ancestral sequence. Our algorithm can be further extended to perform tree alignment for more se- quences, and eventually unify the two procedures of phylo- genetic reconstruction and sequence alignment. The nov- elty of our algorithm is: it applies the ...


FNphasing: A Novel Fast Heuristic Algorithm for Haplotype Phasing Based on Flow Network Model

Jiaoyun Yang; Yun Xu; Xiaohui Yao; Guoliang Chen IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2013

An enormous amount of sequence data has been generated with the development of new DNA sequencing technologies, which presents great challenges for computational biology problems such as haplotype phasing. Although arduous efforts have been made to address this problem, the current methods still cannot efficiently deal with the incoming flood of large-scale data. In this paper, we propose a flow ...


Comparative Analysis of Two-Component Signal Transduction Systems in Six Synechococcus Strains - Two-Component Signal Transduction Systems in Synechococcus

Xiaowen Zhang; Naihao Ye; Chengwei Liang; Xiangyu Guan; Song Qin 2009 3rd International Conference on Bioinformatics and Biomedical Engineering, 2009

Cyanobacteria are photoautotrophic prokaryotes able to grow in a wide range of ecological environments and their signal transduction systems play important roles for environmental adaptation. Two-component signal transduction (TCST) systems show important roles in prokaryotes. Sequencing information of cyanobacterial genomes offers a unique opportunity to conduct a comprehensive comparative analysis of this signal transduction system. In this study, we extracted ...


Reconstructing phylogenetic network with ReTF algorithm (rearranging transcriptional factor)

Shamita Malik; Dolly Sharma 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

The term Phylogentics is the study of evolutionary relationship between different species, organisms or genes. These relationships are depicted as branched, tree like diagrams that provide insight into the events that occurred during the evolution process. These trees may also have a root which is known as the common ancestor. Building the "Tree of Life" has been the prime objective ...


Quartet based phylogeny reconstruction with answer set programming

G. Wu; Guohui Lin; Jia-Huai You 16th IEEE International Conference on Tools with Artificial Intelligence, 2004

Evolution is an important subarea of study in biological science, where given a set of species, the goal is to reconstruct their evolutionary history, or phylogeny. Many kinds of data associated with the species can be deployed for this task and many reconstruction methods have been proposed and examined in the literature. One very recent approach is to build a ...


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IEEE.tv Videos

No IEEE.tv Videos are currently tagged "Phylogeny"

IEEE-USA E-Books

  • The Architecture of Complexity: Hierarchic Systems

    This chapter contains sections titled: Hierarchic Systems, Social Systems, Biological and Physical Systems, Symbolic Systems, The Evolution of Complex Systems, Biological Evolution, Evolution of Multi-Cellular Organisms, Problem Solving as Natural Selection, The Sources of Selectivity, On Empires and Empire Building, Conclusion: The Evolutionary Explanation of Hierarchy, Nearly Decomposable Systems, Near Decomposability of Social Systems, Physicochemical Systems, Some Observations on Hierarchic Span, Summary: Near Decomposability, Biological Evolution Revisited, The Description of Complexity, Near Decomposability and Comprehensibility, Simple Descriptions of Complex Systems, State Descriptions and Process Descriptions, The Description of Complexity in Self-Reproducing Systems, Ontogeny Recapitulates Phylogeny, Summary: The Description of Complexity, Conclusion

  • Development and Learning

    This chapter contains sections titled: 6.1 Development, 6.2 Phylogeny vs. Ontogeny, 6.3 Development from the Perspective of Psychology, 6.4 Conclusions

  • No title

    Recent advances in development of sequencing technology has resulted in a deluge of genomic data. In order to make sense of this data, there is an urgent need for algorithms for data processing and quantitative reasoning. An emerging in silico approach, called computational genomic signatures, addresses this need by representing global species-specific features of genomes using simple mathematical models. This text introduces the general concept of computational genomic signatures, and it reviews some of the DNA sequence models which can be used as computational genomic signatures. The text takes the position that a practical computational genomic signature consists of both a model and a measure for computing the distance or similarity between models. Therefore, a discussion of sequence similarity/distance measurement in the context of computational genomic signatures is presented. The remainder of the text covers various applications of computational genomic signatures in the areas o metagenomics, phylogenetics and the detection of horizontal gene transfer. Table of Contents: Genome Signatures, Definition and Background / Other Computational Characterizations as Genome Signatures / Measuring Distance of Biological Sequences Using Genome Signatures / Applications: Phylogeny Construction / Applications: Metagenomics / Applications: Horizontal DNA Transfer Detection

  • Emotions

    This chapter contains sections titled: 10.1 Triune Phylogeny, 10.2 Emotions and the Body, 10.3 Somatic Marker Theory, 10.4 The Amygdala' s Special Role, 10.5 Computational Perspectives, 10.6 Summary

  • Geometric Models of Protein Structure and Function Prediction

    This chapter describes how protein structures are obtained experimentally and discusses methods for computing the geometry of protein molecules. There are primarily three experimental techniques for obtaining protein structures namely, X-ray crystallography, solution nuclear magnetic resonance (NMR), and recently freeze-sample electron microscopy (cryo-EM). The geometric model of macromolecule amenable to convenient computation is an idealized model, where the shapes of atoms are approximated by three-dimensional balls. The incremental algorithm developed in can be used to compute the weighted tetrahedrization for a set of atoms of different radii. The chapter outlines the algorithm for two-dimensional unweighted Delaunay triangulation. Evolution plays central roles in shaping up the function and stability of protein molecules. The method of analyzing residue substitution rates using continuous-time Markov models and the method of surface mapping of conservation entropy and phylogeny only scratches the surface of this important issue.



Standards related to Phylogeny

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