Grid Computing in Life Science (Lecture Notes in Bioinformatics, #3370)
Researchers in the ?eld of life sciences rely increasingly on information te- nology to extract and manage relevant knowledge. The complex computational and data management needs of life science research make Grid technologies an attractive support solution. However, many important issues must be addressed before the Life Science Grid becomes commonplace. The 1st International Life Science Grid Workshop (LSGRID 2004) was held in Kanazawa Japan, May 31-June 1, 2004. This workshop focused on life...
Written by a non-computer scientist, this is intended as a practical guide taking the reader from basic concepts to up-to-date research topics in digital image processing. The presentation builds on principles and mathematical tools widely used in the natural sciences. The book discusses the following topics: image acquisition and digitization; linear and non-linear filter operation for the detection of edges, local orientation and texture; fast algorithms on pyramidal and multigrid data structu...
Build scalable and flexible Rest APIs and microservices using the latest versions of Spring and Spring BootKey FeaturesBuild Java-based enterprise applications using Spring 5.1 and Spring Boot 2.1Create high performing, reusable, and scalable enterprise Java applications that are easy to testGain powerful insights into advanced Spring and Spring Boot concepts to develop applications effectivelyBook DescriptionSpring 5.1 is the latest release of the widely used Spring Framework. This book takes y...
Since 1997, scientists of different disciplines sharing a deep interest in concepts and knowledge related to evolutionary biology have held the annual Evolutionary Biology Meetings in Marseille in order to discuss their research and promote collaboration. Lately scientists especially focusing on applications have also joined the group. This book starts with the report of the "12th Evolutionary Biology Meeting", which gives a general idea of the meeting's epistemological stance. This is followed...
The feld of proteomics moves rapidly. New methods, techniques, applications, standards, models and software appear almost on a daily basis. Accompanying this are plenty of texts on the experimental side of the feld and a few appearing on the informatic and data analysis side. This latterly includes one in the Methods in Molecular Biology series tackling the specifc analysis of "Mass spectrometry data in proteomics" in MMB vol. 376. This current collection builds on this, but takes a broader view...
-Teaches the reader how to use Unix, which is the key to basic computing and allows the most flexibility for bioinformatics applications -Written specifically with the needs of molecular biologists in mind -Easy to follow, written for beginners with no computational knowledge -Includes examples from biological data analysis -Can be use either for self-teaching or in courses
In the last few decades, advances in molecular biology and in the research - frastructure in this ?eld has given rise to the "omics" revolution in molecular biology,alongwiththeexplosionofdatabases:fromgenomicstotranscriptomics, proteomics, interactomics,and metabolomics. However,the huge amount of b- logicalinformationavailablehasleftabottleneckindataprocessing:information over?ow has called for innovative techniques for their visualization, modelling, interpretationandanalysis.The manyresultsf...
Distributed, High-Performance and Grid Computing in Computational Biology
Modeling Protein Evolution and Its Bioinformatics Applications
by Goldstein Richard A
While there are many books available on bioinformatics and on molecular evolution, there are none that adequately address the interaction of these two areas. Filling this gap, this book covers both the fundamentals of evolutionary theory and its application to bioinformatics. It gives readers a broad overview of the nature of molecular evolution, techniques that have been developed for modelling this evolution, tools to interpret biological information in an evolutionary context, and software th...
Self Learning of Bioinformatics Online (Self Learning of Bioinformatics Online)
by Ajit Kumar Roy
Unconventional Computation (Lecture Notes in Computer Science, #5715) (Theoretical Computer Science and General Issues, #5204)
This book constitutes the refereed proceedings of the 5th International Conference on Unconventional Computation, UC 2006, held in York, UK, in September 2006. The 17 revised full papers presented together with four invited full papers were carefully reviewed and selected for inclusion in the book. All current aspects of unconventional computation are addressed - theory as well as experiments and applications.
Unconventional Computation (Lecture Notes in Computer Science, #3699)
by Cristian S. Calude
The Fourth International Conference on Unconventional Computation, UC 2005, organized under the auspices of EATCS by the Centre for Discrete Mathematics and Theoretical Computer Science and the Department of C- puter Science and Arti?cial Intelligence of the University of Seville, was held in Seville, October 3-7, 2005. Seville, one of the most beautiful cities in Spain, is at its best in October. An explosion of colour and contrast: ?amenco, bull?ghting, and a lively at- sphere in the streets d...
Applications of Computational Intelligence in Biology (Studies in Computational Intelligence, #122)
Computational Intelligence (CI) has been a tremendously active area of - search for the past decade or so. There are many successful applications of CI in many sub elds of biology, including bioinformatics, computational - nomics, protein structure prediction, or neuronal systems modeling and an- ysis. However, there still are many open problems in biology that are in d- perate need of advanced and e cient computational methodologies to deal with tremendous amounts of data that those problems ar...
Data Mining and Applications in Genomics (Lecture Notes in Electrical Engineering, #25)
by Sio-Iong Ao
Essential Fish Habitat Mapping in the Mediterranean (Developments in Hydrobiology, #203)
Proper designation of Essential Fish Habitat (EFH) is a highly important spatial measure in any management of fishery resources. EFH is defined as those waters and substrates necessary to fish for spawning, breeding, feeding, or growth to maturity, a definition that includes the physical, chemical and biological properties of marine areas and the associated sediment and biological assemblages that sustain fish populations throughout their full life cycle. This book presents latest advances in EF...
Evolutionary Computation in Combinatorial Optimization (Lecture Notes in Computer Science, #4446)
by Carlos Cotta and Jano Van Hemert
This book constitutes the refereed proceedings of the 9th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2009, held in Tubingen, Germany, in April 2009. The 21 revised full papers presented were carefully reviewed and selected from 53 submissions. The papers present the latest research and discuss current developments and applications in metaheuristics - a paradigm to effectively solve difficult combinatorial optimization problems appearing in various ind...
Recent decades have witnessed the thriving development of new mathematical, computational and theoretical approaches, such as bioinformatics and neuroinformatics, to tackle fundamental issues in biology. These approaches focus no longer on individual units, such as nerve cells or genes, but rather on dynamic patterns of interactions between them. This volume explores the concept in full, featuring contributions from a global group of contributors, many of whom are pre-eminent in their field.
Foundations of Learning Classifier Systems (Studies in Fuzziness and Soft Computing, #183)
This volume brings together recent theoretical work in Learning Classifier Systems (LCS), which is a Machine Learning technique combining Genetic Algorithms and Reinforcement Learning. It includes self-contained background chapters on related fields (reinforcement learning and evolutionary computation) tailored for a classifier systems audience and written by acknowledged authorities in their area - as well as a relevant historical original work by John Holland.