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Author: Basel Abu-Jamous Publisher: John Wiley & Sons ISBN: 1118906535 Category : Technology & Engineering Languages : en Pages : 451
Book Description
Clustering techniques are increasingly being put to use in the analysis of high-throughput biological datasets. Novel computational techniques to analyse high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. This book details the complete pathway of cluster analysis, from the basics of molecular biology to the generation of biological knowledge. The book also presents the latest clustering methods and clustering validation, thereby offering the reader a comprehensive review of clustering analysis in bioinformatics from the fundamentals through to state-of-the-art techniques and applications. Key Features: Offers a contemporary review of clustering methods and applications in the field of bioinformatics, with particular emphasis on gene expression analysis Provides an excellent introduction to molecular biology with computer scientists and information engineering researchers in mind, laying out the basic biological knowledge behind the application of clustering analysis techniques in bioinformatics Explains the structure and properties of many types of high-throughput datasets commonly found in biological studies Discusses how clustering methods and their possible successors would be used to enhance the pace of biological discoveries in the future Includes a companion website hosting a selected collection of codes and links to publicly available datasets
Author: Basel Abu-Jamous Publisher: John Wiley & Sons ISBN: 1118906535 Category : Technology & Engineering Languages : en Pages : 451
Book Description
Clustering techniques are increasingly being put to use in the analysis of high-throughput biological datasets. Novel computational techniques to analyse high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. This book details the complete pathway of cluster analysis, from the basics of molecular biology to the generation of biological knowledge. The book also presents the latest clustering methods and clustering validation, thereby offering the reader a comprehensive review of clustering analysis in bioinformatics from the fundamentals through to state-of-the-art techniques and applications. Key Features: Offers a contemporary review of clustering methods and applications in the field of bioinformatics, with particular emphasis on gene expression analysis Provides an excellent introduction to molecular biology with computer scientists and information engineering researchers in mind, laying out the basic biological knowledge behind the application of clustering analysis techniques in bioinformatics Explains the structure and properties of many types of high-throughput datasets commonly found in biological studies Discusses how clustering methods and their possible successors would be used to enhance the pace of biological discoveries in the future Includes a companion website hosting a selected collection of codes and links to publicly available datasets
Author: Basel Abu-Jamous Publisher: John Wiley & Sons ISBN: 1118906551 Category : Technology & Engineering Languages : en Pages : 451
Book Description
Clustering techniques are increasingly being put to use in the analysis of high-throughput biological datasets. Novel computational techniques to analyse high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. This book details the complete pathway of cluster analysis, from the basics of molecular biology to the generation of biological knowledge. The book also presents the latest clustering methods and clustering validation, thereby offering the reader a comprehensive review of clustering analysis in bioinformatics from the fundamentals through to state-of-the-art techniques and applications. Key Features: Offers a contemporary review of clustering methods and applications in the field of bioinformatics, with particular emphasis on gene expression analysis Provides an excellent introduction to molecular biology with computer scientists and information engineering researchers in mind, laying out the basic biological knowledge behind the application of clustering analysis techniques in bioinformatics Explains the structure and properties of many types of high-throughput datasets commonly found in biological studies Discusses how clustering methods and their possible successors would be used to enhance the pace of biological discoveries in the future Includes a companion website hosting a selected collection of codes and links to publicly available datasets
Author: Guo-Cheng Yuan Publisher: Humana Press ISBN: 9781493990566 Category : Science Languages : en Pages : 271
Book Description
This detailed book provides state-of-art computational approaches to further explore the exciting opportunities presented by single-cell technologies. Chapters each detail a computational toolbox aimed to overcome a specific challenge in single-cell analysis, such as data normalization, rare cell-type identification, and spatial transcriptomics analysis, all with a focus on hands-on implementation of computational methods for analyzing experimental data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Computational Methods for Single-Cell Data Analysis aims to cover a wide range of tasks and serves as a vital handbook for single-cell data analysis.
Author: Rabinarayan Satpathy Publisher: John Wiley & Sons ISBN: 111978560X Category : Computers Languages : en Pages : 433
Book Description
Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics approximating classification and prediction of disease, feature selection, dimensionality reduction, gene selection and classification of microarray data and many more.
Author: Jan Gorodkin Publisher: Humana ISBN: 9781627037082 Category : Science Languages : en Pages : 0
Book Description
The existence of genes for RNA molecules not coding for proteins (ncRNAs) has been recognized since the 1950's, but until recently, aside from the critically important ribosomal and transfer RNA genes, most focus has been on protein coding genes. However, a long series of striking discoveries, from RNA's ability to carry out catalytic function, to discovery of riboswitches, microRNAs and other ribo-regulators performing critical tasks in essentially all living organisms, has created a burgeoning interest in this primordial component of the biosphere. However, the structural characteristics and evolutionary constraints on RNA molecules are very different from those of proteins, necessitating development of a completely new suite of informatic tools to address these challenges. In RNA Sequence, Structure, Function: Computational and Bioinformatic Methods, expert researchers in the field describe a substantial and relevant fraction of these methodologies from both practical and computational/algorithmic perspectives. Focusing on both of these directions addresses both the biologist interested in knowing more about RNA bioinformatics as well as the bioinformaticist interested in more detailed aspects of the algorithms. Written in the highly successful Methods in Molecular Biology series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results. Thorough and intuitive, RNA Sequence, Structure, Function: Computational and Bioinformatic Methods aids scientists in continuing to study key methods and principles of RNA bioinformatics.
Author: Kent Norman Publisher: John Wiley & Sons ISBN: 1118977270 Category : Psychology Languages : de Pages : 2263
Book Description
In der Vergangenheit war die Mensch-Computer-Interaktion (Human-Computer Interaction) das Privileg einiger weniger. Heute ist Computertechnologie weit verbreitet, allgegenwärtig und global. Arbeiten und Lernen erfolgen über den Computer. Private und kommerzielle Systeme arbeiten computergestützt. Das Gesundheitswesen wird neu erfunden. Navigation erfolgt interaktiv. Unterhaltung kommt aus dem Computer. Als Antwort auf immer leistungsfähigere Systeme sind im Bereich der Mensch-Computer-Interaktion immer ausgeklügeltere Theorien und Methodiken entstanden. The Wiley Handbook of Human-Computer Interaction bietet einen Überblick über all diese Entwicklungen und untersucht die vielen verschiedenen Aspekte der Mensch-Computer-Interaktion und hat den Wert menschlicher Erfahrungen, die über Technologie stehen, ganzheitlich im Blick.
Author: George Tseng Publisher: Cambridge University Press ISBN: 1107069114 Category : Mathematics Languages : en Pages : 497
Book Description
Tutorial chapters by leaders in the field introduce state-of-the-art methods to handle information integration problems of omics data.
Author: Adrian-Horia Dediu Publisher: Springer ISBN: 3319079530 Category : Computers Languages : en Pages : 285
Book Description
This book constitutes the refereed proceedings of the First International Conference, AlCoB 2014, held in July 2014 in Tarragona, Spain. The 20 revised full papers were carefully reviewed and selected from 39 submissions. The scope of AlCoB includes topics of either theoretical or applied interest, namely: exact sequence analysis, approximate sequence analysis, pairwise sequence alignment, multiple sequence alignment, sequence assembly, genome rearrangement, regulatory motif finding, phylogeny reconstruction, phylogeny comparison, structure prediction, proteomics: molecular pathways, interaction networks, transcriptomics: splicing variants, isoform inference and quantification, differential analysis, next-generation sequencing: population genomics, metagenomics, metatranscriptomics, microbiome analysis, systems biology.
Author: Charles DeLisi Publisher: World Scientific ISBN: 1848165781 Category : Bioinformatics Languages : en Pages : 215
Book Description
This volume contains 17 peer-reviewed papers based on the presentations at the 9th Annual International Workshop on Bioinformatics and Systems Biology (IBSB 2009) held at the Life Science Engineering Building of Boston University from July 27 to 29, 2009. This workshop started in 2001 as a platform for doctoral students and young researchers to present and discuss their research results and approaches in bioinformatics and systems biology. It is part of a collaborative educational program involving leading institutions and leaders committed to the following institutions and programs: * Boston University Graduate Program in Bioinformatics * Charit Universittsmedizin Berlin * Freie Universitt Berlin * Global COE Program Center of Education and Research for Advanced Genome-Based Medicine, University of Tokyo * The International Research Training Group (IRTG) Genomics and Systems Biology of Molecular Networks * International Research and Training Program on Bioinformatics and Systems Biology, Kyoto University Bioinformatics Center * Max-Delbrck Center for Molecular Medicine in Berlin * Max Planck Institute for Molecular Genetics in Berlin * Max Planck Institute of Molecular Plant Physiology in Potsdam
Author: Basel Abu-Jamous
Author: Basel Abu-Jamous
Author: Basel Abu-Jamous
Author: Basel Abu Jamous
Author: Guo-Cheng Yuan
Author: Rabinarayan Satpathy
Author: Jan Gorodkin
Author: Kent Norman
Author: George Tseng
Author: Adrian-Horia Dediu
Author: Charles DeLisi