Chemoinformatics and Advanced Machine Learning Perspectives

Huma Lodhi, "Chemoinformatics and Advanced Machine Learning Perspectives: Complex Computational Methods and Collaborative Techniques"
Publisher: IGI Global | ISBN 10: 1615209115 | 2010 | PDF | 350 pages | 5.7 MB

Chemoinformatics is a scientific area that endeavours to study and solve complex chemical problems using computational techniques and methods. Chemoinformatics and Advanced Machine Learning Perspectives: Complex Computational Methods and Collaborative Techniques provides an overview of current research in machine learning and applications to chemoinformatics tasks. As a timely compendium of research, this book offers perspectives on key elements that are crucial for complex study and investigation.

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Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics By Michael J. Dunn, Lynn B. Jorde, Peter F. R. Little, Shankar Subramaniam

Michael J. Dunn, Lynn B. Jorde, Peter F. R. Little, Shankar Subramaniam, "Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics" 
Wiley | 2005 | ISBN: 0470849746 | 4096 pages | PDF | 35,3 MB

Available in print and online, this unique reference brings together all four fields of genetics, genomics, proteomics, and bioinformatics to meet your dynamic research requirements. It brings together the latest concepts in these vibrant areas and ensures a truly multidisciplinary approach. Topics include genetic variation and evolution, epigenetics, the human genome, expression profiling, proteome families, structural proteomics, gene finding/gene structure, protein function and annotation, and more. The work incorporates a vast amount of topical information, profiles cutting-edge techniques, and presents the very latest findings from an international team of over five hundred contributors. With articles for both students and more experienced scientists, this is a key reference source for everyone.

Contains more than 450 articles covering all aspects of genomics, proteomics, bioinformatics and related technologies
Includes a glossary containing over 550 clear and concise definitions
"I am pleased to recommend it heartily as a essential reference tool…should remain the definitive work…for many years to come." THE CHEMICAL EDUCATOR

“Jorde…and co-editors have done a remarkable job in coordinating this information, distilling it into a package that is both easy to navigate and over-flowing in discovery." ELECTRIC REVIEW 


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Bioinformatics and Drug Discovery (Methods in Molecular Biology) by: Richard S. Larson (Editor)

Publisher: Humana Press
Number Of Pages: 456
Publication Date: 2005-10-01
Sales Rank: 852998
ISBN / ASIN: 1588293467
EAN: 9781588293466
Binding: Hardcover
Manufacturer: Humana Press
Studio: Humana Press

Book Description: 
A collection of readily reproducible bioinformatic methods to advance the drug discovery process from gene identification to protein modeling to the identification of specific drug candidates. The authors demonstrate these techniques, including microarray analysis, the analysis of genes as potential drug targets, virtual screening and in silico protein design, and cheminformatics, in a variety of practical situations. Because these technologies are still emergent, each chapter contains an extended introduction that explains the theory and application of the technology and techniques described.

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Bioinformatics Computing

Bioinformatics Computing By Bryan Bergeron
Publisher: Prentice Hall; 1 edition | 2002 | 439 Pages | ISBN: 0131008250 0131632124 | PDF | 5 MB


The complete, practical guide to bioinformatics for molecular biologists and life scientists

* Gives an overview of bioinformatics from a computer science perspective
* Makes the computer science aspects of bioinformatics more understandable for life scientists.
* Presents a ready reference for current and future online and standalone tools

In Bioinformatics Computing, Harvard Medical School and MIT faculty member Bryan Bergeron presents a comprehensive and practical guide to bioinformatics for life scientists at every level of training and practice. After an up-to-the-minute overview of the entire field, he illuminates every key bioinformatics technology, offering practical insights into the full range of bioinformatics applications-both new and emerging. Coverage includes:

* Technologies that enable researchers to collaborate more effectively
* Fundamental concepts, state-of-the-art tools, and "on the horizon" advances
* Bioinformatics information infrastructure, including GENBANK and other Web-based resources
* Very large biological databases: object-oriented database methods, data mining/warehousing, knowledge management, and more
* 3D visualization: exploring the inner workings of complex biological structures
* Advanced pattern matching techniques, including microarray research and gene prediction
* Event-driven, time-driven, and hybrid simulation techniques

Bioinformatics Computing combines practical insight for assessing bioinformatics technologies, practical guidance for using them effectively, and intelligent context for understanding their rapidly evolving roles.


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Introduction to Bioinformatics

Introduction to Bioinformatics By Arthur M. Lesk
ISBN: 9780199251964 | Oxford University Press, USA | 320 Pages | 2002 edition | PDF | 6.28 MB

Bioinformatics is the collective name for a set of skills that has now become arguably one of the most important information-gathering and knowledge-building tools in current science research. The increase in the reliance upon bioinformatics in current research has made it essential for training in these skills to become an integral part of current science education. Introduction to Bioinformatics is a timely and much-needed textbook which provides an accessible and thorough introduction to a subject which is becoming a fundamental part of biological science today. As a pioneer of the use of bioinformatics techniques in research, Dr Lesk brings unrivalled experience and expertise to the study of this field. The aim of the book is to generate an understanding of the biological background of bioinformatics, and to integrate this with an introduction to the use of computational skills. Without describing computer science or sophisticated programming skills in detail, the book supports and encourages the application of the many powerful computational tools of bioinformatics in a way that is both relevant to and stimulating for the reader. The book contains numerous problems and innovative Weblems (for Web-based Problems) to encourage students to engage with the subject and, with the accompanying web site, to develop a working understanding and appreciation of the power of bioinformatics as a research tool. 

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Immunoinformatics: Bioinformatic Strategies for Better Understanding of Immune Function (Novartis Foundation Symposia) By Novartis Foundation

Publisher: Wiley
Number Of Pages: 272
Publication Date: 2003-12-09
ISBN-10 / ASIN: 0470853565
ISBN-13 / EAN: 9780470853566

Product Description: 
The astounding diversity of the immune system and the complexity of its regulatory pathways makes immunology a combinatorial science. Computational analysis has therefore become an essential element of immunology research and this has led to the creation of the emerging field of immunoinformatics. This book is the first to feature thorough coverage of this new field. Immunoinformatics facilitates the understanding of immune function by modelling the interactions among immunological components. Biological research provides ever deeper insights into the complexity of living organisms while computer science provides an effective means to store and analyse large volumes of complex data. Combining the two fields increases the efficiency of biological research and offers the potential for major advances in the study of biological systems. This book encompasses key developments in immunoinformatics, including immunological databases, sequence analysis, structure modelling, mathematical modelling of the immune system, simulation of laboratory experiments, statistical support for immunological experimentation and immunogenomics. The difficulties in effective application of bioinformatic tools in immunology arise at both ends of the spectrum: most immunologists have only a limited comprehension of sophisticated data analysis and applicability and limitations, while the average computer scientist lacks knowledge of the depth and complexity of biological data. The purpose of this book, therefore, is to present contributions from a multidisciplinary team of biologists and computer scientists to explore the issues related to better understanding of immune function and, in particular, to help apply new computer science methods to immunological research.

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Bioinformatics: Tools and Applications

Author(s):David Edwards
Publisher:Springer
Date:2009-09-22
Format:pdf
Language:English
ISBN10:0387927379

Product Description:
Bioinformatics is a relatively new field of research. It evolved from the requirement to process, characterize, and apply the information being produced by DNA sequencing technology. The production of DNA sequence data continues to grow exponentially. At the same time, improved bioinformatics such as faster DNA sequence search methods have been combined with increasingly powerful computer systems to process this information. Methods are being developed for the ever more detailed quantification of gene expression, providing an insight into the function of the newly discovered genes, while molecular genetic tools provide a link between these genes and heritable traits. Genetic tests are now available to determine the likelihood of suffering specific ailments and can predict how plant cultivars may respond to the environment. The steps in the translation of the genetic blueprint to the observed phenotype is being increasingly understood through proteome, metabolome and phenome analysis, all underpinned by advances in bioinformatics. Bioinformatics is becoming increasingly central to the study of biology, and a day at a computer can often save a year or more in the laboratory.

The volume is intended for graduate-level biology students as well as researchers who wish to gain a better understanding of applied bioinformatics and who wish to use bioinformatics technologies to assist in their research. The volume would also be of value to bioinformatics developers, particularly those from a computing background, who would like to understand the application of computational tools for biological research. Each chapter would include a comprehensive introduction giving an overview of the fundamentals, aimed at introducing graduate students and researchers from diverse backgrounds to the field and bring them up-to-date on the current state of knowledge. To accommodate the broad range of topics in applied bioinformatics, chapters have been grouped into themes: gene and genome analysis, molecular genetic analysis, gene expression analysis, protein and proteome analysis, metabolome analysis, phenome data analysis, literature mining and bioinformatics tool development. Each chapter and theme provides an introduction to the biology behind the data describes the requirements for data processing and details some of the methods applied to the data to enhance biological understanding.

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Introduction to Bioinformatics: A Theoretical and Practical Approach

Stephen A. Krawetz and David D. Womble, "Introduction to Bioinformatics: A Theoretical and Practical Approach"
Hu-mana Press | 2003 | ISBN: 1588290646 | 550 pages | PDF | 11 MB

Review
"...contains very valuable information on a wide range of topics related to bioinformatics research." - Heredity
Product Description
Wayne State Univ. School of Medicine, Detroit, MI. Introduces biological, mathematical, statistical, and computer concepts and tools necessary for physical and life scientists to understand and analyze complex biological data. Includes companion CD-ROM with color graphics, lecture material, and software. Hardcover, softcover available. DNLM: Computational Biology--methods.


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Java for Bioinformatics and Biomedical Applications

Java for Bioinformatics and Biomedical Applications
Publisher: Springer | ISBN: 0387372350 | edition 2006 | PDF | 342 pages | 16,5 mb

The science and practice of medicine has undergone a fundamental change as a result of large-scale genome projects that led to the sequencing of a number of important microbial, plant and animal genomes in the last 5 years. This book aims to combine industry standard software engineering and design principles, genomics and bioinformatics and cancer research. It focuses on creating and integrating practical, useful tools for the scientific community in the context of real-life, real-value biomedical problems that researchers face on a routine basis, rather than being just a didactic exercise in learning a programming platform. The book leverages technologies for molecular biology, genomics and bioinformatics and cancer research developed by the NIH, NCI-Center for Bioinformatics (NCICB), the National Center for Biotechnology Information (NCBI, a division of the National Library of Medicine (NLM) at the NIH) and Stanford University.

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Computational Systems Bioinformatics: Conference Proceedings CSB2008 Life Sciences Society

Peter Markstein, Ying Xu "Computational Systems Bioinformatics: Conference Proceedings CSB2008 Life Sciences Society"
Imperial College Press | English | 2008-08-04 | ISBN: 1848162634 | 340 pages | PDF | 8,4 MB

This proceedings volume contains 29 papers covering many of the latest developments in the fast-growing field of bioinformatics. The contributions span a wide range of topics, including computational genomics and genetics, protein function and computational proteomics, the transcriptome, structural bioinformatics, microarray data analysis, motif identification, biological pathways and systems, and biomedical applications. The papers not only cover theoretical aspects of bioinformatics but also delve into the application of new methods, with input from computation, engineering and biology disciplines. This multidisciplinary approach to bioinformatics gives these proceedings a unique viewpoint of the field.

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Proteome Bioinformatics (Methods in Molecular Biology)

Author(s): Simon J. Hubbard, Andrew R. Jones
Publisher: Humana Press; 1 edition
Date : 2009
Pages : 403
Format : PDF
OCR :
Quality :
Language : English
ISBN-10 : 160761443X
ISBN-13 : 9781607614432


Book discription
The field of proteomics moves rapidly, as new methods, techniques, applications, standards, models and software appear almost on a daily basis. In Proteome Bioinformatics, expert researchers explore this ever-changing field, providing the reader with a mix of review and methodology chapters which address the fundamentals of analysis methods, algorithms, data standards and databases. Chapters include practical considerations for analyzing database search results, annotating genomes, speeding up searches, and responding to specific data processing challenges. As a volume of the highly successful Methods in Molecular Biology series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results.


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Applying Genomic and Proteomic Microarray Technology in Drug Discovery

Applying Genomic and Proteomic Microarray Technology in Drug Discovery
256pages, size: 11.67 Mb

• includes an extensive literature survey and comparison of microarray technology formats
• Discusses the relevance and general utility of microarray technologies in the drug discovery process
• Provides an in-depth discussion of important factors for successful array printing
• Contains protocols for printing nucleic acids and proteins and a selection of substrates and preparation of surface chemistries
• Supplies an extensive review and assessment of key studies demonstrating the utility of gene expression and protein microarrays
 

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Microarray Bioinformatics By Dov Stekel

Microarray Bioinformatics By Dov Stekel

DNA microarrays have revolutionized molecular biology and are becoming a standard tool in the field. Dov Stekel's book is a comprehensive guide to the mathematics, statistics, and computing required to use microarrays successfully. Unlike traditional molecular biology, the successful use of DNA microarrays requires the application of statistics and computing to design the arrays and experiments, and to analyze and manage the data. This book is written for researchers, clinicians, and laboratory managers.

Publisher: Cambridge University Press

Number Of Pages: 280

Publication Date: 2003-09-08 ISBN-10 / ASIN:* 0521819822

ISBN-13 / EAN: 9780521819824

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Bioinformatics and Computational Biology Solutions Using R and Bioconductor

Bioinformatics and Computational Biology Solutions Using R and Bioconductor

Bioconductor is a widely used open source and open development software project for the analysis and comprehension of data arising from high-throughput experimentation in genomics and molecular biology. Bioconductor is rooted in the open source statistical computing environment R. This volume's coverage is broad and ranges across most of the key capabilities of the Bioconductor project, including importation and preprocessing of high-throughput data from microarray, proteomic, and flow cytometry platforms curation and delivery of biological metadata for use in statistical modeling and interpretation statistical analysis of high-throughput data, including machine learning and visualization, modeling and visualization of graphs and networks.

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