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Author: Alexander Bolshoy
Publisher: Springer Science & Business Media
ISBN: 364212951X
Category : Computers
Languages : en
Pages : 234
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Book Description
Knighting in sequence biology Edward N. Trifonov Genome classification, construction of phylogenetic trees, became today a major approach in studying evolutionary relatedness of various species in their vast - versity. Although the modern genome clustering delivers the trees which are very similar to those generated by classical means, and basic terminology is the same, the phenotypic traits and habitats are not anymore the playground for the classi- cation. The sequence space is the playground now. The phenotypic traits are - placed by sequence characteristics, “words”, in particular. Matter-of-factually, the phenotype and genotype merged, to confusion of both classical and modern p- logeneticists. Accordingly, a completely new vocabulary of stringology, information theory and applied mathematics took over. And a new brand of scientists emerged – those who do know the math and, simultaneously, (do?) know biology. The book is written by the authors of this new brand. There is no way to test their literacy in biology, as no biologist by training would even try to enter into the elite circle of those who masters their almost occult language. But the army of - formaticians, formal linguists, mathematicians humbly (or aggressively) longing to join modern biology, got an excellent introduction to the field of genome cl- tering, written by the team of their kin.
Author: Alexander Bolshoy
Publisher: Springer Science & Business Media
ISBN: 364212951X
Category : Computers
Languages : en
Pages : 234
Get Book Here
Book Description
Knighting in sequence biology Edward N. Trifonov Genome classification, construction of phylogenetic trees, became today a major approach in studying evolutionary relatedness of various species in their vast - versity. Although the modern genome clustering delivers the trees which are very similar to those generated by classical means, and basic terminology is the same, the phenotypic traits and habitats are not anymore the playground for the classi- cation. The sequence space is the playground now. The phenotypic traits are - placed by sequence characteristics, “words”, in particular. Matter-of-factually, the phenotype and genotype merged, to confusion of both classical and modern p- logeneticists. Accordingly, a completely new vocabulary of stringology, information theory and applied mathematics took over. And a new brand of scientists emerged – those who do know the math and, simultaneously, (do?) know biology. The book is written by the authors of this new brand. There is no way to test their literacy in biology, as no biologist by training would even try to enter into the elite circle of those who masters their almost occult language. But the army of - formaticians, formal linguists, mathematicians humbly (or aggressively) longing to join modern biology, got an excellent introduction to the field of genome cl- tering, written by the team of their kin.
Author: Altuna Akalin
Publisher: CRC Press
ISBN: 1498781861
Category : Mathematics
Languages : en
Pages : 463
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Book Description
Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology. After reading: You will have the basics of R and be able to dive right into specialized uses of R for computational genomics such as using Bioconductor packages. You will be familiar with statistics, supervised and unsupervised learning techniques that are important in data modeling, and exploratory analysis of high-dimensional data. You will understand genomic intervals and operations on them that are used for tasks such as aligned read counting and genomic feature annotation. You will know the basics of processing and quality checking high-throughput sequencing data. You will be able to do sequence analysis, such as calculating GC content for parts of a genome or finding transcription factor binding sites. You will know about visualization techniques used in genomics, such as heatmaps, meta-gene plots, and genomic track visualization. You will be familiar with analysis of different high-throughput sequencing data sets, such as RNA-seq, ChIP-seq, and BS-seq. You will know basic techniques for integrating and interpreting multi-omics datasets. Altuna Akalin is a group leader and head of the Bioinformatics and Omics Data Science Platform at the Berlin Institute of Medical Systems Biology, Max Delbrück Center, Berlin. He has been developing computational methods for analyzing and integrating large-scale genomics data sets since 2002. He has published an extensive body of work in this area. The framework for this book grew out of the yearly computational genomics courses he has been organizing and teaching since 2015.
Author: Leonard Kaufman
Publisher: Wiley-Interscience
ISBN:
Category : Mathematics
Languages : en
Pages : 376
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Book Description
Partitioning around medoids (Program PAM). Clustering large applications (Program CLARA). Fuzzy analysis (Program FANNY). Agglomerative Nesting (Program AGNES). Divisive analysis (Program DIANA). Monothetic analysis (Program MONA). Appendix.
Author: Jiaqian Wu
Publisher: Springer
ISBN: 9401774501
Category : Science
Languages : en
Pages : 190
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Book Description
This volume focuses on modern computational and statistical tools for translational gene expression and regulation research to improve prognosis, diagnostics, prediction of severity, and therapies for human diseases. It introduces some of state of the art technologies as well as computational and statistical tools for translational bioinformatics in the areas of gene transcription and regulation, including the tools for next generation sequencing analyses, alternative spicing, the modeling of signaling pathways, network analyses in predicting disease genes, as well as protein and gene expression data integration in complex human diseases etc. The book is particularly useful for researchers and students in the field of molecular biology, clinical biology and bioinformatics, as well as physicians etc. Dr. Jiaqian Wu is assistant professor in the Vivian L. Smith Department of Neurosurgery and Center for Stem Cell and Regenerative Medicine, University of Texas Health Science Centre, Houston, TX, USA.
Author: Arcady R. Mushegian
Publisher: Elsevier
ISBN: 0080546099
Category : Science
Languages : en
Pages : 276
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Book Description
This book provides an overview of computational analysis of genes and genomes, and of some most notable findings that come out of this work. Foundations of Comparative Genomics presents a historical perspective, beginning with early analysis of individual gene sequences, to present day comparison of gene repertoires encoded by completely sequenced genomes. The author discusses the underlying scientific principles of comparative genomics, argues that completion of many genome sequences started a new era in biology, and provides a personal view on several state-of-the-art issues, such as systems biology and whole-genome phylogenetic reconstructions. This book is an essential reference for researchers and students in computational biology, evolutionary biology, and genetics. - Presents an historic overview of genome biology and its achievements - Includes topics not covered in other books such as minimal and ancestral genomes - Discusses the evolutionary resilience of protein-coding genes and frequent functional convergence at the molecular level - Critically reviews horizontal gene transfer and other contentious issues - Covers comparative virology as a somewhat overlooked foundation of modern genome science
Author: World Health Organization
Publisher: World Health Organization
ISBN: 9241565055
Category : Medical
Languages : en
Pages : 204
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Book Description
Chapter 1. Introduction -- chapter 2. Disease burden and 2015 targets assessment -- chapter 3. TB case notifications and treatment outcomes -- chapter 4. Drug-resistant TB -- chapter 5. Diagnostics and laboratory strengthening -- chapter 6. Addressing the co-epidemics of TB and HIV -- chapter 7. Financing -- chapter 8. Research and development -- Annexes.
Author: Pina Fratamico
Publisher: American Society for Microbiology Press
ISBN: 1555814573
Category : Science
Languages : en
Pages : 766
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Book Description
Detailed interpretation of the environmental consequences of the latest findings from genome sequencing studies—presenting both scientific and public health opportunities. • Explains how understanding pathogen genomics can help ensure the safety of global food and water supplies. • Focuses on specific food- and waterborne pathogens that represent major public health threats. • Examines how global trends, such as climate change, increasing human populations, and rising levels of pollution, are stressing the ecosystems that food- and waterborne pathogens encounter, forcing them to adapt. • Serves as an excellent text for microbiology and genomics researchers, public health officials, regulators, food scientists, and other applicable professionals.
Author: Thomas J. Bach
Publisher: Springer Science & Business Media
ISBN: 1461440629
Category : Science
Languages : en
Pages : 507
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Book Description
Isoprenoids are important in primary and secondary metabolism. They have implications in a myriad of physiological processes notably in plants, microorganisms and parasites, and biological activities at the cellular, organism, and ecosystem levels. The importance of isoprenoids in various areas of the scientific world has spurred intense research worldwide. Also their role in "nutraceuticals" has stimulated scientific curiosity. Literature on isoprenoids is widely scattered in journals with quite differing readerships and geographic distribution. A comprehensive book on isoprenoids does not exist. Isoprenoid Synthesis in Plants and Microorganisms: New Concepts and Experimental Approaches fills this gap by presenting the latest and the most applicable information on isoprenoids. The most recent TERPNET conference serves as the backdrop and provides much of the inspiration for the topics covered in the book. Additional topics of interest are covered as well, making Isoprenoid Synthesis in Plants and Microorganisms: New Concepts and Experimental Approaches the most comprehensive review of isoprenoid synthesis to date.
Author: Pradipta Maji
Publisher: Springer Science & Business Media
ISBN: 3319056301
Category : Computers
Languages : en
Pages : 316
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Book Description
This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models. The text reviews both established and cutting-edge research, providing a careful balance of theory, algorithms, and applications, with a particular emphasis given to applications in computational biology and bioinformatics. Features: integrates different soft computing and machine learning methodologies with pattern recognition tasks; discusses in detail the integration of different techniques for handling uncertainties in decision-making and efficiently mining large biological datasets; presents a particular emphasis on real-life applications, such as microarray expression datasets and magnetic resonance images; includes numerous examples and experimental results to support the theoretical concepts described; concludes each chapter with directions for future research and a comprehensive bibliography.
Author:
Publisher: Elsevier
ISBN: 008046906X
Category : Science
Languages : en
Pages : 352
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Book Description
History, Wild Mice, and Genetics, the first volume in the four volume set, The Mouse in Biomedical Research, provides information about the history, biology and genomics of the laboratory mouse (Mus musculus), as well as basic information on maintenance and use of mouse stocks. Mouse origins and relationships are covered in chapters on history, evolutionary taxonomy and wild mice. Genetics and genomics of the mouse are covered in chapters on genetic nomenclature, gene mapping, cytogenetics and the molecular organization of the mouse genome. Maintenance of laboratory mice is described in chapters on breeding systems for various types of strains and stocks and genetic monitoring. Use of the mouse as a model system for basic biomedical research is described in chapters on chemical mutagenesis, gene trapping, pharmacogenetics and embryo manipulation. The information in Volume 1 serves as a primer for scientists new to the field of mouse research.
