الصفحة 26
الصفحة 26
Allelochemicals : Biological Control of Plant Pathogens and Diseases
This book is organized around the indication that allelochemicals can be employed for biological control of plant pathogens and plant diseases. Specifically, this volume focuses on (i) discovery and development of natural product based fungicides for agriculture, (ii) direct use of allelochemicals as well as indirect effects through cover crops and organic amendments for plant parasitic pest control and (iii) application of allelopathy in pest management.
Algorithms in Bioinformatics ; Vol.4175 : 6th International Workshop, WABI 2006, Zurich, Switzerland, September 11-13, 2006, Proceedings
This book constitutes the refereed proceedings of the 6th International Workshop on Algorithms in Bioinformatics, WABI 2006, held in Zurich, Switzerland in September 2006 in the course of the ALGO 2006 conference meetings. The 36 revised full papers presented were carefully reviewed and selected from 100 submissions. All current issues of algorithms in bioinformatics are addressed, ranging from mathematical tools to experimental studies of approximation algorithms and reports on significant computational analyses. Numerous biological problems are dealt with, including genetic mapping, sequence alignment and sequence analysis, phylogeny, comparative genomics, and protein structure. For the first time also machine-learning approaches along with combinatorial optimization are covered.
Algorithms in Bioinformatics ; 7th International Workshop, WABI 2007, Philadelphia, PA, USA, September 8-9, 2007, Proceedings
All current issues of algorithms in bioinformatics are addressed, ranging from mathematical tools to experimental studies of approximation algorithms and reports on significant computational analyses. Numerous biological problems are dealt with, including genetic mapping, sequence alignment and sequence analysis, phylogeny, comparative genomics, and protein structure. Furthermore the papers feature high-performance computing approaches to computationally hard learning and optimization problems in bioinformatics and cover methods, software and dataset repositories for development and testing of such algorithms and their underlying models.
Algorithms in Bioinformatics : Theory and Implementation
Explores a comprehensive and insightful treatment of the practical application of bioinformatic algorithms in a variety of fields. Delivers a fulsome treatment of some of the main algorithms used to explain biological functions and relationships. It introduces readers to the art of algorithms in a practical manner which is linked with biological theory and interpretation. The book covers many key areas of bioinformatics, including global and local sequence alignment, forced alignment, detection of motifs, Sequence logos, Markov chains or information entropy. Other novel approaches are also described, such as Self-Sequence alignment, Objective Digital Stains (ODSs) or Spectral Forecast and the Discrete Probability Detector (DPD) algorithm. Readers will also benefit from the inclusion of: A detailed presentation of new methods, such as Self-sequence alignment, Objective Digital Stains and Spectral Forecast ; A treatment of sequence alignment, including local sequence alignment, global sequence alignment and forced sequence alignment with full implementations ; Discussions of position-specific weight matrices, including the count, weight, relative frequencies, and log-likelihoods matrices ; A detailed presentation of the methods related to Markov Chains as well as a description of their implementation in Bioinformatics and adjacent fields ; An examination of information and entropy, including sequence logos and explanations related to their meaning ; A chapter on philosophical transactions that allows the reader a broader view of the prediction process ; Extensive worked examples with detailed case studies that point out the meaning of different results
Algorithmic Aspects of Bioinformatics
Advances in bioinformatics and systems biology require improved computational methods for analyzing data, while progress in molecular biology is in turn influencing the development of computer science methods. This book introduces some key problems in bioinformatics, discusses the models used to formally describe these problems, and analyzes the algorithmic approaches used to solve them. After introducing the basics of molecular biology and algorithmics, Part I explains string algorithms and alignments; Part II details the field of physical mapping and DNA sequencing; and Part III examines the application of algorithmics to the analysis of biological data. Exciting application examples include predicting the spatial structure of proteins, and computing haplotypes from genotype data. This book describes topics in detail and presents formal models in a mathematically precise, yet intuitive manner, with many figures and chapter summaries, detailed derivations, and examples. It is well suited as an introduction into the field of bioinformatics, and will benefit students and lecturers in bioinformatics and algorithmics, while also offering practitioners an update on current research topics.
Algal Toxins : Nature, Occurrence, Effect and Detection
This volume contains the lectures and seminars given at the NATO Advanced Study Institute on “Sensor Systems for Biological Threads: The Algal Toxins Case”, held in Pisa, Italy in October, 2007. Algae can form heavy growths in ponds, lakes, reservoirs and sl- moving rivers throughout the world; algae can house toxins which are - ually released into water when the cells rupture or die. Hundreds of toxins have been identified so far. Detection methods, including rapid screening, have been developed to help us learning more about them, especially to find out which toxins are a real threat for people and what conditions encourage their production and accumulation. Early detection of algal toxins is an - portant aspect for public safety and natural environment, and significant efforts are underway to develop effective and reliable tools that can be used for this purpose.
Algae and Cyanobacteria in Extreme Environments
ALGAE AND CYANOBACTRIA IN EXTREME ENVIRONMENTS is a unique collection of essays, contributed by leading scientists from around the world, devoted to algae – and some related microbes – observed in unexpected harsh habits, which it seems are an oasis or Garden of Eden for these organisms. This timely book on Extremophilic alga, including its especially impressive micrographs, may provide clues about the edges of life on Earth and possibly elsewhere in the universe. This volume is a must for students of the field of biodiversity, as well as those in Phycology, ecology and general biological research.
Agricultural biodiversity and biotechnology in economic development
The topics addressed in this book are of vital importance to the survival of humankind. Agricultural biodiversity, encompassing genetic diversity as well as human knowledge, is the base upon which agricultural production has been built, and protecting this resource is critical to ensuring the capacity of current and future generations to adapt to unforeseen challenges. Agricultural biodiversity underpins the productivity of all agricultural systems and is particularly important for poor and food-insecure farmers, who maintain highly diverse production systems in response to the marginal and risky production conditions they operate under. Understanding the importance of agricultural biodiversity in the livelihoods of the food insecure and enhancing its performance through the use of a variety of tools, including biotechnology, is a critically important issue in the world today
Aging and Senescence
Aging is characterized by a progressive loss of physiological integrity, leading to impaired function and increased vulnerability to death. This deterioration is the primary risk factor for major human pathologies, including cancer, diabetes, cardiovascular disorders, and neurodegenerative diseases. Aging research has experienced an unprecedented advance over recent years, particularly with the discovery that the rate of aging is controlled, at least to some extent, by genetic pathways and biochemical processes conserved in evolution. Although recent developments in molecular biology are far from understanding the biological basis of aging, research suggests that targeting the aging process itself could ameliorate many age-related pathologies.
Ageing : The Paradox of Life : Why We Age
For centuries people have been puzzled by the inevitability of human aging. For most of the second half of the twentieth century aging remained a mystery, or an unsolved biological problem. At the end of the 20th century a remarkable scientific discovery emerged. It was not a single discovery in the usual sense, because it was based on a series of important interconnected insights over quite a long period of time. These insights made it possible for the very first time to understand the biological reasons for aging in animals and man. It can already be said, however, that the many observations and insights that explain aging will not be accepted as established knowledge for a long time.
Advances in solid state physics ; Vol. 45
The book presents, to some extent, the status of the field of solid-state physics in 2005 not only in Germany but also internationally. It is ''nanoscience'', namely the physics of quantum dots and wires, electrical transport, optical properties, spin transport in nanostructures, and magnetism on the nanoscale, that is of central interest to the physics community. Also, soft matter and biological systems are covered.
Advances in neural networks -- ISNN 2007 ; 4th International symposium on neutral networks, ISNN 2007 Nanjing, China, June 3-7, 2007. Proceedings, Part II
An eural network is an information processing structure inspired by biological nervous systems, such as the brain. It consists of a large number of highly int- connected processing elements, called neurons. It has the capability of learning from example.
Advances in Neural Networks -- ISNN 2007 ; 4th International Symposium on Neutral Networks, ISNN 2007 Nanjing, China, June 3-7, 2007. Proceedings, Part I
An eural network is an information processing structure inspired by biological nervous systems, such as the brain. It consists of a large number of highly int- connected processing elements, called neurons. It has the capability of learning from example.
Advances in Neural Networks -- ISNN 2007 ; 4th International symposium on neural networks, ISNN 2007 Nanjing, China, June 3-7, 2007. Proceedings, Part III
An eural network is an information processing structure inspired by biological nervous systems, such as the brain. It consists of a large number of highly int- connected processing elements, called neurons. It has the capability of learning from example.
Advances in Natural Computation ; Vol. 4222 ; 2nd International Conference, ICNC 2006, Xi'an, China, September 24-28, 2006, Proceedings, Part II
constitutethe proceedings of the 2nd International Conference on Natural Computation (ICNC 2006), jointly held with the 3rd International Conference on Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2006 featured the most up-to-date research results in com- tational algorithms inspired from nature, including biological, ecological, and physical systems. It is an exciting and emerging interdisciplinary area in which a wide rangeof techniques and methods arebeing studied for dealing with large, complex, and dynamic problems. The joint conferences also promoted cro- fertilization over these exciting and yet closely-related areas, which had a s- nifcant impact on the advancement of these important technologies. Specifc areas included neural computation, quantum computation, evolutionarycom- tation, DNA computation, fuzzy computation, granular computation, artifcial life, etc., with innovative applications to knowledge discovery, fnance, ope- tions research, and more. In addition to the large number of submitted papers, we were blessed with the presence of six renowned keynote speakers.
Advances in natural computation ; Vol. 4221 ; 2nd International Conference, ICNC 2006, Xi'an, China, September 24-28, 2006, Proceedings, Part I
ICNC-FSKD 2006 featured the most up-to-date research results in com- tational algorithms inspired from nature, including biological, ecological, and physical systems. It is an exciting and emerging interdisciplinary area in which a wide rangeof techniques and methods arebeing studied for dealing with large, complex, and dynamic problems. The joint conferences also promoted cro- fertilization over these exciting and yet closely-related areas, which had a s- nifcant impact on the advancement of these important technologies. Specifc areas included neural computation, quantum computation, evolutionarycom- tation, DNA computation, fuzzy computation, granular computation, artifcial life, etc., with innovative applications to knowledge discovery, fnance, ope- tions research, and more. In addition to the large number of submitted papers, we were blessed with the presence of six renowned keynote speakers.
Advances in natural computation ; Vol. 3611 ; 1st International conference, ICNC 2005, Changsha, China, August 27-29, 2005, proceedings, Part II
Featured the most up-to-date research results in com-putational algorithms inspired from nature, including biological, ecological, andphysical systems. It is an exciting and emerging interdisciplinary area in whicha wide range of techniques and methods are being studied for dealing with large,complex, and dynamic problems. The joint conferences also promoted cross-fertilization over these exciting and yet closely-related areas, "
Advances in natural computation ; Vol. 3610 ; 1st International conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part I
Featured the most up-to-date research results in computational algorithms inspired from nature, including biological, ecological, andphysical systems. It is an exciting and emerging interdisciplinary area in which a wide range of techniques and methods are being studied for dealing with large, complex, and dynamic problems. The joint conferences also promoted cross-fertilization over these exciting and yet closely-related areas, which had a sig-nificant impact on the advancement of these important technologies. Specificareas included neural computation, quantum computation, evolutionary com-putation, DNA computation, chemical computation, information processing incells and tissues, molecular computation, computation with words, fuzzy com-putation, granular computation, artificial life, swarm intelligence, ants colonies
Advances in Molecular Breeding Toward Drought and Salt Tolerant Crops
Advances in Molecular Breeding toward Drought and Salt Tolerant Crops seeks to integrate the most recent findings about key biological determinants of plant stress tolerance with modern crop improvement strategies. This volume is unique because is provides exceptionally wide coverage of current knowledge and expertise being applied in drought and salt tolerance research, spanning the scientific hierarchy from physiology, biochemistry, development, and genetics, to the newest technologies being used to manipulate drought and salinity associated traits for germplasm improvement. This book will be an invaluable reference for educators and researchers in agronomy and horticulture, crop breeding, molecular genetics, and biotechnology.
Advances in Fracture Research : Honour and plenary lectures presented at the 11th International Conference on Fracture (ICF11), held in Turin, Italy, on March 20-25, 2005
Biological materials are bottom-up designed systems formed from billions of years of natural evolution. In the long course of Darwinian competition for survival, nature has evolved a huge variety of hierarchical and multifunctional systems from nucleic acids, proteins, cells, tissues, organs, organisms, animal communities to ecological s- tems. Multilevel hierarchy a rule of nature. The complexities of biology provide an opportunity to study the basic principles of hierarchical and multifunctional s- tems design, a subject of potential interest not only to biomedical and life sciences, but also to nanosciences and nanotechnology. Systematic studies of how hierarchical structures in biology are related to their functions and properties can lead to better understanding of the effects of aging, diseases and drugs on tissues and organs, and may help developing a scienti?c basis for tissue engineering to improve the standard of living.
