Advances in Bioinformatics and Computational Biology, S?rgio Campos
Автор: Sung Название: Algorithms in Bioinformatics ISBN: 1420070339 ISBN-13(EAN): 9781420070330 Издательство: Taylor&Francis Рейтинг: Цена: 13779.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents an introduction to the algorithmic techniques applied in bioinformatics. For each topic, this title details the biological motivation, defines the corresponding computational problems, and includes examples to illustrate each algorithm.
Автор: Katia S. Guimar?es; Anna Panchenko; Teresa M. Przy Название: Advances in Bioinformatics and Computational Biology ISBN: 3642032222 ISBN-13(EAN): 9783642032226 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 4th Brazilian Symposium on Bioinformatics BSB 2009 Porto Alegre Brazil July 2931 2009 Proceedings. .
Описание: New global approaches, such as Systems Biology, have been emerging replacing the reductionist view that dominated biology research in the last decades, requiring the coordinated efforts of biological researchers with those related to data analysis, mathematical modelling and computer science.
Описание: Biological and biomedical research are increasingly driven by experimental techniques that challenge our ability to analyse, process and extract meaningful knowledge from the underlying data. The impressive capabilities of next generation sequencing technologies, together with novel and ever evolving distinct types of omics data technologies, have put an increasingly complex set of challenges for the growing fields of Bioinformatics and Computational Biology. The analysis of the datasets produced and their integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Clearly, Biology is more and more a science of information requiring tools from the computational sciences. In the last few years, we have seen the surge of a new generation of interdisciplinary scientists that have a strong background in the biological and computational sciences. In this context, the interaction of researchers from different scientific fields is, more than ever, of foremost importance boosting the research efforts in the field and contributing to the education of a new generation of Bioinformatics scientists. PACBB‘14 contributes to this effort promoting this fruitful interaction. PACBB'14 technical program included 34 papers spanning many different sub-fields in Bioinformatics and Computational Biology. Therefore, the conference promotes the interaction of scientists from diverse research groups and with a distinct background such as computer scientists, mathematicians or biologists.
Автор: Gautam B. Singh Название: Fundamentals of Bioinformatics and Computational Biology ISBN: 3319383132 ISBN-13(EAN): 9783319383132 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers comprehensive coverage of all the core topics of bioinformatics, and includes practical examples completed using the MATLAB bioinformatics toolbox™. It is primarily intended as a textbook for engineering and computer science students attending advanced undergraduate and graduate courses in bioinformatics and computational biology. The book develops bioinformatics concepts from the ground up, starting with an introductory chapter on molecular biology and genetics. This chapter will enable physical science students to fully understand and appreciate the ultimate goals of applying the principles of information technology to challenges in biological data management, sequence analysis, and systems biology. The first part of the book also includes a survey of existing biological databases, tools that have become essential in today’s biotechnology research. The second part of the book covers methodologies for retrieving biological information, including fundamental algorithms for sequence comparison, scoring, and determining evolutionary distance. The main focus of the third part is on modeling biological sequences and patterns as Markov chains. It presents key principles for analyzing and searching for sequences of significant motifs and biomarkers. The last part of the book, dedicated to systems biology, covers phylogenetic analysis and evolutionary tree computations, as well as gene expression analysis with microarrays. In brief, the book offers the ideal hands-on reference guide to the field of bioinformatics and computational biology.
Автор: Hamid R. Arabnia Название: Advances in Computational Biology ISBN: 1461426960 ISBN-13(EAN): 9781461426967 Издательство: Springer Рейтинг: Цена: 39182.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Bioinformatics Databases, Data Mining, and Pattern Discovery.- A Classification Method Based on Similarity Measures of Generalized Fuzzy Numbers in Building Expert System for Postoperative Patients.- Efficient Support Vector Machine Method for Survival Prediction with SEER Data.- Searching Maximal Degenerate Motifs Guided by a Compact Suffix Tree.- Exploring Motif Composition of Eukaryotic Promoter Regions.- Large-Scale Analysis of Phylogenetic Search Behavior.- Silicosection and Elucidation of the Plant Circadian Clock Using Bayesian Classifiers and New Genemining Algorithm.- ChemBrowser: A Flexible Framework for Mining Chemical Documents.- Experimental Study of Modified Voting Algorithm for Planted (l, d)-Motif Problem.- Prediction of Severe Sepsis Using SVM Model.- Online Multi-divisive Hierarchical Clustering for On-Body Sensor Data.- On Quality Assurance and Assessment of Biological Datasets and Related Statistics.- Pattern Recognition-Informed Feedback for Nanopore Detector Cheminformatics.- An MLP Neural Network for ECG Noise Removal Based on Kalman Filter.- Discovery of Structural Motifs Using Protein Structural Alphabets and 1D Motif-Finding Methods.- Biological Databases at DNA Data Bank of Japan in the Era of Next-Generation Sequencing Technologies.- Microarray, Gene Expression Analysis, and Gene Regulatory Networks.- Comparison of Microarray Preprocessing Methods.- A Robust Ensemble Classification Method Analysis.- k-NN for the Classification of Human Cancer Samples Using the Gene Expression Profiles.- The Application of Regular Expression-Based Pattern Matching to Profiling the Developmental Factors that Contribute to the Development of the Inner Ear.- Functionally Informative Tag SNP Selection Using a Pareto-Optimal Approach.- KMeans Greedy Search Hybrid Algorithm for Biclustering Gene Expression Data.- Robust Stability Analysis and Design Under Consideration of Multiple Feedback Loops of the Tryptophan Regulatory Network of Escherichia coli.- FM-GA and CM-GA for Gene Microarray Analysis.- Protein Classification & Structure Prediction, and Computational Structural Biology.- Novel Features for Automated Cell Phenotype Image Classification.- A Relational Fuzzy C-Means Algorithm for Detecting Protein Spots in Two-Dimensional Gel Images.- Assigning Probabilities to Mascot Peptide Identification Using Logistic Regression.- Genome-Wide EST Data Mining Approaches to Resolving Incongruence of Molecular Phylogenies.- Building a Parallel Between Structural and Topological Properties.- GNCPro: Navigate Human Genes and Relationships Through Net-Walking.- Small-Scale Modeling Approach and Circuit Wiring of the Unfolded Protein Response in Mammalian Cells.- Random-Walk Mechanism in the Genetic Recombination.- Critical Assessment of Side Chain Conformation Prediction in Modelling of Single Point Amino Acid Mutation.- Temporal Anomaly Detection: An Artificial Immune Approach Based on T Cell Activation, Clonal Size Regulation and Homeostasis.- An Integrated Methodology for Mining Promiscuous Proteins: A Case Study of an Integrative Bioinformatics Approach for Hepatitis C Virus Non-structural 5a Protein.- Enhanced Prediction of Conformational Flexibility and Phosphorylation in Proteins.- Why Are MD Simulated Protein Folding Times Wrong?.- Automatic TEM Image Analysis of Membranes for 2D Crystal Detection.- High Performance Computing Approaches for 3D Reconstruction of Complex Biological Specimens.- Protein Identification Using Receptor Arrays and Mass Spectrometry.- Comparative Sequence, Genome Analysis, Genome Assembly, and Genome Scale Computational Methods.- Assessing Consistency Between Versions of Genotype-Calling Algorithm Birdseed for the Genome-Wide Human SNP Array 6.0 Using HapMap Samples.- An Overview of the BioExtract Server: A Distributed, Web-Based System for Genomic Analysis.- A Deterministic DNA Database Search.- Taxonomic Parsing of Bacteriophages Using Core Genes and In Silico Proteome-Based CGUG
Автор: Jo?o C. Setubal; Nalvo F. Almeida Название: Advances in Bioinformatics and Computational Biology ISBN: 3319026232 ISBN-13(EAN): 9783319026237 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 8th Brazilian Symposium on Bioinformatics, BSB 2013, held in Recife, Brazil, in November 2013. The 18 regular papers presented were carefully reviewed and selected for inclusion in this book. The papers cover all aspects of bioinformatics and computational biology.
Автор: Sanguthevar Rajasekaran Название: Bioinformatics and Computational Biology ISBN: 3642007260 ISBN-13(EAN): 9783642007262 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the First International on Bioinformatics and Computational Biology, BICoB 2007, held in New Orleans, LA, USA, in April 2007. This work addresses research in the area of bioinformatics and computational biology fostering the advancement of computing techniques and their application to life sciences.
Описание: Biological and biomedical research are increasingly driven by experimental techniques that challenge our ability to analyse, process and extract meaningful knowledge from the underlying data. The impressive capabilities of next generation sequencing technologies, together with novel and ever evolving distinct types of omics data technologies, have put an increasingly complex set of challenges for the growing fields of Bioinformatics and Computational Biology. The analysis of the datasets produced and their integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Clearly, Biology is more and more a science of information requiring tools from the computational sciences. In the last few years, we have seen the surge of a new generation of interdisciplinary scientists that have a strong background in the biological and computational sciences. In this context, the interaction of researchers from different scientific fields is, more than ever, of foremost importance boosting the research efforts in the field and contributing to the education of a new generation of Bioinformatics scientists. PACBB‘16 hopes to contribute to this effort promoting this fruitful interaction. PACBB'16 technical program included 21 papers spanning many different sub-fields in Bioinformatics and Computational Biology. Therefore, the conference will certainly promote the interaction of scientists from diverse research groups and with a distinct background (computer scientists, mathematicians, biologists). The scientific content will certainly be challenging and will promote the improvement of the work being developed by each of the participants.
Описание: This proceedings presents recent practical applications of Computational Biology and Bioinformatics. It contains the proceedings of the 9th International Conference on Practical Applications of Computational Biology & Bioinformatics held at University of Salamanca, Spain, at June 3rd-5th, 2015. The International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB) is an annual international meeting dedicated to emerging and challenging applied research in Bioinformatics and Computational Biology. Biological and biomedical research are increasingly driven by experimental techniques that challenge our ability to analyse, process and extract meaningful knowledge from the underlying data. The impressive capabilities of next generation sequencing technologies, together with novel and ever evolving distinct types of omics data technologies, have put an increasingly complex set of challenges for the growing fields of Bioinformatics and Computational Biology. The analysis of the datasets produced and their integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Clearly, Biology is more and more a science of information requiring tools from the computational sciences.
Автор: Lenwood S. Heath; Naren Ramakrishnan Название: Problem Solving Handbook in Computational Biology and Bioinformatics ISBN: 1489973486 ISBN-13(EAN): 9781489973481 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Bioinformatics is constantly evolving, but a core body of algorithmic ideas for a problem-solving approach in the field has emerged. This handbook stresses that approach as it covers all relevant areas of computational biology and bioinformatics.
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