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Monday, January 21, 2008

All Bioinformatics Books Under One Post

Introduction to Bioinformatics

by Arthur M. Lesk

283 pages

Publisher: Oxford University Press (May 1, 2002)

Language: English

ISBN: 0199251967

Format: DJVU

Archive: RAR

Size: 3.57 MB

Book Description

Introduction to Bioinformatics by Arthur Lesk 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.

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Introduction to Bioinformatics, 2nd Edition

Written by a pioneer of the use of bioinformatics in research, the second edition of Introduction to Bioinformatics introduces the student to the power of bioinformatics as a set of scientific tools. Retaining and enhancing the rich pedagogy and lucid presentation of the first edition, this new edition explains how to access the data archives of genomes and proteins, and the kind of questions these data and tools can answer. It also discusses how to make inferences from the data archives, how to make connections among them, and how to derive useful and interesting predictions. The book is accompanied by a fully integrated companion website.

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Structural Bioinformatics

Philip E. Bourne, Helge Weissig, «Structural Bioinformatics»
Wiley-Liss | ISBN 0471202002 | 2003 Year | PDF | 19,50 Mb | 649 Pages


The emerging discipline of structural bioinformatics comprises the development of computational technologies for methods of storage, retrieval, and analysis of the three-dimensional structure of biological macromolecules. Edited by Philip Bourne and Helge Weissig, this groundbreaking text provides a thorough understanding of the theories, associated algorithms, resources, and tools used in structural bioinformatics.

Structural Bioinformatics begins with chapters on the fundamentals of protein structure, DNA/RNA structure, carbohydrates, and techniques including X-ray crystallography, NMR, cryo-electron microscopy, and molecular visualization. The next section addresses data representation and databases, followed by information on structure classification of proteins (SCOP) and class, architecture, topology, and homology (CATH) classification. Later chapters cover structure-function assignment, protein interactions, and proteins as drug targets. Structural Bioinformatics also:

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Algorithms in Bioinformatics


Gascuel (Editor), Moret (Editor) «Algorithms in Bioinformatics: First International Workshop, WABI 2001, Aarhus, Denmark, August 28-31, 2001, Proceedings (Lecture Notes in Computer Science)»
Springer | ISBN 3540425160 | 2001 | pdf | 307 Pages | 4951 KB


This book constitutes the refereed proceedings of the First International Workshop on Algorithms in Bioinformatics, WABI 2001, held in Aarhus, Denmark, in August 2001. The 23 revised full papers presented were carefully reviewed and selected from more than 50 submissions. Among the issues addressed are exact and approximate algorithms for genomics, sequence analysis, gene and signal recognition, alignment, molecular evolution, structure determination or prediction, gene expression and gene networks, proteomics, functional genomics, and drug design; methodological topics from algorithmics; high-performance approaches to hard computational problems in bioinformatics.

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Intelligent Bioinformatics: The Application of Artificial Intelligence Techniques to Bioinformatics Problems

Bioinformatics is contributing to some of the most important advances in medicine and biology. At the forefront of this exciting new subject are techniques known as artificial intelligence which are inspired by the way in which nature solves the problems it faces. This book provides a unique insight into the complex problems of bioinformatics and the innovative solutions which make up intelligent bioinformatics Intelligent Bioinformatics requires only rudimentary knowledge of biology, bioinformatics or computer science and is aimed at interested readers regardless of discipline. Three introductory chapters on biology, bioinformatics and the complexities of search and optimisation equip the reader with the necessary knowledge to proceed through the remaining eight chapters, each of which is dedicated to an intelligent technique in bioinformatics. The book also contains many links to software and information available on the internet, in academic journals and beyond, making it an indispensable reference for the 'intelligent bioinformatician'. Intelligent Bioinformaticswill appeal to all postgraduate students and researchers in bioinformatics and genomics as well as to computer scientists interested in these disciplines, and all natural scientists with large data sets to analyse.

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Current Protocols in Bioinformatics

This unique publication assures that you have access to a full range of bioinformatics protocols written by globally-recognized experts in the field, and that these protocols are updated and revised as new developments and innovations occur.
Current Protocols in Bioinformatics is written for the life scientist, not the computational expert, in a user-friendly, easy-to-understand fashion. The manual is organized in terms of biological problems that scientists want to answer. The emphasis on practical advice allows scientists of all computational abilities to quickly master bioinformatics methods and apply them to their own research.
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Bioinformatics: From Genomes to Drugs

Thomas Lengauer, et al,

Bioinformatics - the use of computers to retrieve, process, analyze and simulate biological information - promises to revolutionize the process of drug discovery and development. This book provides a broad, application-oriented overview of this technology. Contributions by internationally renowned specialists in the field afford a detailed insight into single bioinformatics components and algorithmic methods. In addition, the state-of-the-art in bioinformatics is evaluated equally from a global view by introducing real application scenarios such as genome projects that require the use of a whole set of bioinformatics tools.


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Parallel Computing for Bioinformatics and Computational Biology

Albert Y. Zomaya,
Wiley-Interscience | ISBN 0471718483 | 2006 Year | PDF | 15,60 Mb | 816 Pages


Discover how to streamline complex bioinformatics applications with parallel computing. This publication enables readers to handle more complex bioinformatics applications and larger and richer data sets. As the editor clearly shows, using powerful parallel computing tools can lead to significant breakthroughs in deciphering genomes, understanding genetic disease, designing customized drug therapies, and understanding evolution.

A broad range of bioinformatics applications is covered with demonstrations on how each one can be parallelized to improve performance and gain faster rates of computation. Current parallel computing techniques and technologies are examined, including distributed computing and grid computing. Readers are provided with a mixture of algorithms, experiments, and simulations that provide not only qualitative but also quantitative insights into the dynamic field of bioinformatics.

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Parallel Computing for Bioinformatics and Computational Biology

Albert Y. Zomaya,
Publisher:Wiley-Interscience | April 2006 | ISBN: 0471718483 | Pages: 816 | Format: PDF | Size: 12,7 MB


Discover how to streamline complex bioinformatics applications with parallel computing. This publication enables readers to handle more complex bioinformatics applications and larger and richer data sets. As the editor clearly shows, using powerful parallel computing tools can lead to significant breakthroughs in deciphering genomes, understanding genetic disease, designing customized drug therapies, and understanding evolution.

A broad range of bioinformatics applications is covered with demonstrations on how each one can be parallelized to improve performance and gain faster rates of computation. Current parallel computing techniques and technologies are examined, including distributed computing and grid computing. Readers are provided with a mixture of algorithms, experiments, and simulations that provide not only qualitative but also quantitative insights into the dynamic field of bioinformatics.
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Bioinformatics Computing

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
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Mastering Perl for Bioinformatics by James D. Tisdall
Publisher: O'Reilly Media; 1 edition (June 2003) | ISBN-10: 0596003072 | CHM | 0,7 Mb | 377 pages


Historically, programming hasn't been considered a critical skill for biologists. But now, with access to vast amounts of biological data contained in public databases, programming skills are increasingly in strong demand in biology research and development. Perl, with its highly developed capacities in string handling, text processing, networking, and rapid prototyping, has emerged as the programming language of choice for biological data analysis. Mastering Perl for Bioinformatics covers the core Perl language and many of its module extensions, presenting them in the context of biological data and problems of pressing interest to the biological community. This book, along with Beginning Perl for Bioinformatics, forms a basic course in Perl programming. This second volume finishes the basic Perl tutorial material (references, complex data structures, object-oriented programming, use of modules--all presented in a biological context) and presents some advanced topics of considerable interest in bioinformatics. The range of topics covered in Mastering Perl for Bioinformatics prepares the reader for enduring and emerging developments in critical areas of bioinformatics programming such as:
— Gene finding — String alignment — Methods of data storage and retrieval (SML and databases) — Modeling of networks (graphs and Petri nets) — Graphics (Tk) — Parallelization — Interfacing with other programming languages — Statistics (PDL) — Protein structure determination — Biological models of computation (DNA Computers) Biologists and computer scientists who have conquered the basics of Perl and are ready to move even further in their mastery of this versatile language will appreciate the author's well-balanced approach to applying Perl's analytical abilities to the field of bioinformatics. Full of practical examples and real-world biological problem solving, this book is a must for any reader wanting to move beyond beginner level Perl in bioinformatics.
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Bioinformatics

Andrzej Polanski / Marek Kimmel, «Bioinformatics»
Springer | ISBN 3540241663 | 1 edition (January 2007) | PDF | 5.6 Mb | 400 pages

Bioinformatics as a discipline arose out of the need to introduce order into the massive data sets produced by the new technologies of molecular biology: large-scale DNA sequencing, measurements of RNA concentrations in multiple gene expression arrays, and new profiling techniques in proteomics. As such, bioinformatics integrates a number of traditional quantitative sciences such as mathematics, statistics, computer science and cybernetics with biological sciences such as genetics, genomics, proteomics and molecular evolution.

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Introduction to Bioinformatics by Arthur M. Lesk (Author)
Publisher: Oxford University Press, USA (May 9, 2002) | ISBN-10: 0199251967 | PDF | 6,5 Mb | 308 pages


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. Web site www.oup.co.uk/best.textbooks/biochemistry/bioinf/ A logo in the text alerts the reader to check the web site for the full text of programs referred to in the book. The web site also has links related to the book's problems, the innovative Weblems (for Web-based Problems), to encourage students to engage with the subject and, with the web site, to develop a working understanding and appreciation of the power of bioinformatics as a research tool.
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Algorithmic Aspects of Bioinformatics

Hans-Joachim Böckenhauer / Dirk Bongartz, «Algorithmic Aspects of Bioinformatics (Natural Computing Series)»
Springer | ISBN: 3540719121 | 1 edition (June 2007) | 404 pages | PDF | 3.7 Mb


Advances in bioinformatics and systems biology require improved computational methods for analyzing data, while progress in molecular biology is in turn influencing the development of computer science methods. This book introduces some key problems in bioinformatics, discusses the models used to formally describe these problems, and analyzes the algorithmic approaches used to solve them.

After introducing the basics of molecular biology and algorithmics, Part I explains string algorithms and alignments; Part II details the field of physical mapping and DNA sequencing; and Part III examines the application of algorithmics to the analysis of biological data. Exciting application examples include predicting the spatial structure of proteins, and computing haplotypes from genotype data.
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Bioinformatics Research and Development
Springer | ISBN: 3540712321 | 2007. | 497 p. | RARed PDF 21.5MB


This volume contains the papers which were selected for oral presentation at the first Bioinformatics Research and Development (BIRD) conference held in Berlin, Germany during March 12-14, 2007. BIRD covers a wide range of topics related to bioinformatics like microarray data, genomics, single nucleotide polymorphism, sequence analysis, systems biology, medical applications, proteomics, information systems...

The conference was very competitive. From about 140 submissions only 36 were selected by the Program Committee for oral presentation at BIRD and for publication in these proceedings. The acceptance rate was 1/4. The decisions of the Program Committee were guided by the recommendations of several reviewers for each paper. It should be mentioned that these proceedings have companion proceedings published by the Austrian Computer Society where selected poster presentations of the BIRD conference are included

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Pierre Baldi, Søren Brunak, «Bioinformatics: The Machine Learning Approach, 2nd Edition»
The MIT Press | ISBN 026202506X | 2001 Year | PDF | 5,94 Mb | 400 Pages


"An unprecedented wealth of data is being generated by genome sequencing projects and other experimental efforts to determine the structure and function of biological molecules. The demands and opportunities for interpreting these data are expanding rapidly. Bioinformatics is the development and application of computer methods for management, analysis, interpretation, and prediction, as well as for the design of experiments. Machine learning approaches (e.g., neural networks, hidden Markov models, and belief networks) are ideally suited for areas where there is a lot of data but little theory, which is the situation in molecular biology. The goal in machine learning is to extract useful information from a body of data by building good probabilistic models--and to automate the process as much as possible.

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Bioinformatics and Functional Genomics

|ISBN: 0471210048 | Title: Bioinformatics and Functional Genomics | Author: Jonathan Pevsner |Publisher: Wiley-Liss | Publication Date: 2003-11-04 | Number Of Pages: 792 | djvu | 3,5 mb

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Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins (Methods of Biochemical Analysis)

"In this book, Andy Baxevanis and Francis Ouellette . . . have undertaken the difficult task of organizing the knowledge in this field in a logical progression and presenting it in a digestible form. And they have done an excellent job. This fine text will make a major impact on biological research and, in turn, on progress in biomedicine. We are all in their debt."-Eric Lander from the Foreword Reviews from the First Edition "...provides a broad overview of the basic tools for sequence analysis ... For biologists approaching this subject for the first time, it will be a very useful handbook to keep on the shelf after the first reading, close to the computer."-Nature Structural Biology "

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Java for Bioinformatics and Biomedical Applications
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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Probabilistic Modelling in Bioinformatics and Medical Informatics by Dirk Husmeier
Publisher: Springer; 1 edition (December 22, 2005) | 1852337788 | 510Pages | PDF | 4.63MB


Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences. The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. The following parts demonstrate how these methods are applied in bioinformatics and medical informatics. All three fields - the methodology of probabilistic modeling, bioinformatics, and medical informatics - are evolving very quickly. The text should therefore be seen as an introduction, offering both elementary tutorials as well as more advanced applications and case studies.

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Statistical Methods in Bioinformatics: An Introduction (Statistics for Biology and Health) by Warren J. Ewens

Ewens
Publisher: Springer; 2 edition (September 30, 2005) | 0387400826 | 615Pages | PDF | 4.09MB

Advances in computers and biotechnology have had a profound impact on biomedical research, and as a result complex data sets can now be generated to address extremely complex biological questions. Correspondingly, advances in the statistical methods necessary to analyze such data are following closely behind the advances in data generation methods. The statistical methods required by bioinformatics present many new and difficult problems for the research community. This book provides an introduction to some of these new methods. The main biological topics treated include sequence analysis, BLAST, microarray analysis, gene finding, and the analysis of evolutionary processes. The main statistical techniques covered include hypothesis testing and estimation, Poisson processes, Markov models and Hidden Markov models, and multiple testing methods

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Knowledge Discovery in Bioinformatics: Techniques, Methods, and Applications
Wiley | ISBN 047177796X | 2007-06-22 | PDF | 363 pages | 5.56 MB

The purpose of this edited book is to bring together the ideas and findings of data mining researchers and bioinformaticians by discussing cutting-edge research topics such as, gene expressions, protein/RNA structure prediction, phylogenetics, sequence and structural motifs, genomics and proteomics, gene findings, drug design, RNAi and microRNA analysis, text mining in bioinformatics, modelling of biochemical pathways, biomedical ontologies, system biology and pathways, and biological database management.

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XML for Bioinformatics
Springer; 1 edition | ISBN: 0387230289 | 304 pages | March 15, 2005 | PDF | 3 Mb

XML for Bioinformatics aims to provide biologists, software engineers, and bioinformatics professionals with a comprehensive introduction to XML and current XML applications in bioinformatics. The book will assume no background in XML, and take readers from basic to intermediate XML concepts. Core topics will include: fundamentals of XML, creating XML grammars, web services via SOAP, and parsing XML documents in Perl and Java..

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Alexander Isaev, "Introduction to Mathematical Methods in Bioinformatics"
Springer 1 ed 2006 | ISBN: 3540219730 | PDF | 304 p.| English | 2.7 MB


This book looks at the mathematical foundations of the models currently in use. This is crucial for the correct interpretation of the outputs of the models. A bioinformatician should be able not only to use software packages, but also to know the mathematics behind these packages. From this point of view, mathematics departments throughout the world have a major role to play in bioinformatics education by teaching courses on the mathematical foundations of the subject. Based on the courses taught by the author the book combines several topics in biological sequence analysis with mathematical and statistical material required for such analysis.
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Genomics Protocols
edited by Michael P. Starkey, Ramnath Elaswarapu
Humana Press | ISBN 0-89603-774-6 | 2001 | PDF | 538 pages | 3.1 MB


Expert researchers from academia, industry, and leading genome centers provide a comprehensive generic set of protocols for gene hunting and genome analysis. Drawing on emerging technologies in the fields of bioinformatics and proteomics, these protocols cover not only those traditionally recognized as genomics, but also early therapeutic approaches exploiting the potential of gene therapy. Highlights include methods for the analysis of differential gene expression, SNP detection, comparative genomic hybridization, and the functional analysis of genes, as well as the use of bioinformatics for gene identification and the prediction of protein function.

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ISBN: 1565926641
Title: Developing Bioinformatics Computer Skills
Author: Cynthia Gibas
Publisher: O'Reilly
Publication Date: 2001-04-15
Number Of Pages: 442
2.6 Mb pdf


Bioinformatics – the application of computational and analytical methods to biological problems – is a rapidly evolving scientific discipline. Genome sequencing projects are producing vast amounts of biological data for many different organisms, and, increasingly, storing these data in public databases. Such biological databases are growing exponentially, along with the biological literature. It's impossible for even the most zealous researcher to stay on top of necessary information in the
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Blast by Ian Korf, Mark Yandell, Joseph Bedell
Publisher: O'Reilly Media; 1 edition (
June 1, 2003) | ISBN-10: 0596002998 | CHM | 1,4 Mb | 339 pages


Sequence similarity is a powerful tool for discovering biological function. Just as the ancient Greeks used comparative anatomy to understand the human body and linguists used the Rosetta stone to decipher Egyptian hieroglyphs, today we can use comparative sequence analysis to understand genomes. BLAST (Basic Local Alignment Search Tool), is a sophisticated software package for rapid searching of nucleotide and protein databases. It is one of the most important software packages used in sequence analysis and bioinformatics. Most users of BLAST, however, seldom move beyond the program's default parameters, and never take advantage of its full power. BLAST is the only book completely devoted to this popular suite of tools.

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Developing Bioinformatics Computer Skills

Bioinformatics--the application of computational and analytical methods to biological problems--is a rapidly evolving scientific discipline. Genome sequencing projects are producing vast amounts of biological data for many different organisms, and, increasingly, storing these data in public databases. Such biological databases are growing exponentially, along with the biological literature. It's impossible for even the most zealous researcher to stay on top of necessary information in the field without the aid of computer-based tools
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Christopher J.O. Baker, Kei-Hoi Cheung (Editors), «Semantic Web: Revolutionizing Knowledge Discovery in the Life Sciences»
Springer | ISBN 0387484361 | 1 edition (December 4, 2006) | PDF | 25 Mb | 450 pages


The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries. Advanced Semantic Web technologies are now enabling a wide range of tasks of central importance to the management of life science information. This book introduces these technologies to life science and bioinformatics professionals, illustrating their utility and highlighting their implementation in biological, medical and clinical scenarios. In six parts the book covers the topics of database and literature integration, knowledge representation, knowledge visualization, the utilization of formal knowledge representations, and access to distributed knowledge. The factors impacting on the establishment of the semantic web in life science and the legal challenges that will impact on its proliferation are addressed in the concluding part.

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Jean-Michel Claverie, Cedric Notredame, «Bioinformatics For Dummies, 2nd Edition»
Publisher: For Dummies | Dez 2006 | ISBN: 0470089857 | Pages: 436 | PDF | 14 MB

Search databases and analyze sequences like a pro
Get the most out of your PC and the Web with the right tools
Explore the human genome and analyze DNA—without leaving your desktop! All it takes is the basics of molecular biology and the wealth of information in this friendly guide. You'll discover the online tools and useful tips you need to ask the right questions, analyze sequences, and compare results. It's a plain-English introduction to the field!

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Peter Clote / Rolf Backofen, «Computational Molecular Biology: An Introduction»
Wiley | ISBN: 0471872512 | 1 ed. (Jan 2001) | 286 pages | PDF | 13.5 Mb


Recently molecular biology has undergone unprecedented development generating vast quantities of data needing sophisticated computational methods for analysis, processing and archiving. This requirement has given birth to the truly interdisciplinary field of computational biology, or bioinformatics, a subject reliant on both theoretical and practical contributions from statistics, mathematics, computer science and biology.

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Recent Advances in Algorithms and Combinatorics by Bruce A. Reed & Claudia L. Sales
Springer | ISBN: 0387954341 | 2002 | 365 p | RARed | PDF | 1.81MB

"Combinatorics is one of the fastest growing fields of mathematics. … From the table of contents one can see the wide range of topics covered. The authors are acknowledged researchers of the presented fields and guarantee the high quality of the volume. If you want to be up-to-date in combinatorics you should have this volume close to your hands." (Péter Hajnal, Acta Scientarium Mathematicarum, Vol. 69, 2003)

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Current Protocols in Molecular Biology, Immunology, Toxicology, Cytometry, Bioinformatics

Current Protocols in Molecular Biology (All volumes togather)

Lanuage: English | PDF | Pages: 4394 | Size: 47MB unzipped | ISSN:1934-3639 | Wiley | 2004

Current Protocols in Cytometry (All volumes togather)

Lanuage: English | PDF | Pages: 1980 | Size: 25.8MB unzipped | ISSN:1934-9297 | Wiley | 2004

Current Protocols in Bioinformatics (All volumes togather)

Lanuage: English | PDF | Pages:2844 | Size: 47.8MB unzipped | ISSN:1934-3396 | Wiley | 2004

Current Protocols in Immunology (All volumes togather)

Lanuage: English | PDF | Pages:4476 | Size: 48.8MB unzipped | ISSN:1934-3671 | Wiley | 2004

Current Protocols in Toxicology (All volumes togather)

Lanuage: English | PDF | Pages:2759 | Size: 27.8 MB unzipped | ISSN:1934-9254 | Wiley | 2004

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Current Protocols in Cytometry
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Advances in Learning Theory: Methods, Models and Applications
edited by J.A.K. Suykens, G. Horvath, S. Basu, C. Micchelli, J. Vandewalle
IOS Press | ISBN: 1586033417 | 2003 | 415 pages | PDF | 3.1 MB


In recent years, considerable progress has been made in the understanding of problems of learning and generalization. In this context, Intelligence basically means the ability to perform well on new data after learning a model on the basis of given data. Such problems arise in many different areas and are becoming increasingly important and crucial towards many applications such as in bioinformatics, multimedia, computer vision and signal processing, internet search and information retrieval, datamining and textmining, finance, fraud detection, measurement systems and process control, and several others.

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Introduction to Computational Biology: An Evolutionary Approach
Birkhauser | ISBN:3764367008 | Year:2006 | 328 pages | PDF | 3 MB


This textbook is intended for students enrolled in courses in computational biology or bioinformatics as well as for molecular biologists, mathematicians, and computer scientists.Analysis of molecular sequence data is the main subject of this introduction to computational biology. There are two closely connected aspects to biological sequences: (i) their relative position in the space of all other sequences, and (ii) their movement through this sequence space in evolutionary time.

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Evolutionary Computation for Modeling and Optimization
Springer; 1 edition | ISBN: 0387221964 | 572 pages | December 15, 2005 | PDF | 3 Mb

Evolutionary Computation for Optimization and Modeling is an introduction to evolutionary computation, a field which includes genetic algorithms, evolutionary programming, evolution strategies, and genetic programming. The text is a survey of some application of evolutionary algorithms. It introduces mutation, crossover, design issues of selection and replacement methods, the issue of populations size, and the question of design of the fitness function. It also includes a methodological material on efficient implementation.

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Data Mining with Computational Intelligence (Advanced Information and Knowledge Processing) by Lipo Wang (Author), Xiuju Fu (Author)
Publisher: Springer; 1 edition (September 19, 2005) | ISBN-10: 3540245227 | PDF | 2 Mb | 276 pages


Finding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully in application areas such as bioinformatics, banking, retail, and many others. Wang and Fu present in detail the state of the art on how to utilize fuzzy neural networks, multilayer perceptron neural networks, radial basis function neural networks, genetic algorithms, and support vector machines in such applications. They focus on three main data mining tasks: data dimensionality reduction, classification, and rule extraction. The book is targeted at researchers in both academia and industry, while graduate students and developers of data mining systems will also profit from the detailed algorithmic descriptions.

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Richard C. Deonier, et al, «Computational Genome Analysis: An Introduction»
Springer | ISBN 0387987851 | 2005 Year | PDF | 4,28 Mb | 535 Pages

Computational Genome Analysis: An Introduction presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. The book is appropriate for a one-semester course for advanced undergraduate or beginning graduate students, and it can also introduce computational biology to computer scientists, mathematicians, or biologists who are extending their interests into this exciting field. This book features: Topics organized around biological problems, such as sequence alignment and assembly, DNA signals, analysis of gene expression, and human genetic variation Presentation of fundamentals of probability, statistics, and algorithms Implementation of computational methods with numerous examples based upon the R statistics package Extensive descriptions and explanations to complement the analytical development More than 100 illustrations and diagrams (some in color) to reinforce concepts and present key results from the primary literature Exercises at the end of chapters Michael S. Waterman is a University Professor, a USC Associates Chair in Natural Sciences, and Professor of Biological Sciences, Computer Science, and Mathematics at the University of Southern California. A member of the National Academy of Sciences and the American Academy of Arts and Sciences, Professor Waterman is Founding Editor and Co-Editor in Chief of the Journal of Computational Biology. His research has focused on computational analysis of molecular sequence data. His best-known work is the co-development of the local alignment Smith-Waterman algorithm, which has become the foundational tool for database search methods. His interests have also encompassed physical mapping, as exemplified by the Lander-Waterman formulas, and genome sequence assembly using an Eulerian path method. Simon Tavaré holds the George and Louise Kawamoto Chair in Biological Sciences and is a Professor of Biological Sciences, Mathematics, and Preventive Medicine at the University of Southern California. Professor Tavaré's research lies at the interface between statistics and biology, specifically focusing on problems arising in molecular biology, human genetics, population genetics, molecular evolution, and bioinformatics. His statistical interests focus on stochastic computation. Among the applications are linkage disequilibrium mapping, stem cell evolution, and inference in the fossil record. Dr. Tavaré is also a professor in the Department of Oncology at the University of Cambridge, England, where his group concentrates on cancer genomics. Richard C. Deonier is Professor Emeritus in the Molecular and Computational Biology Section of the Department of Biological Sciences at the University of Southern California. Originally trained as a physical biochemist, His major research has been in areas of molecular genetics, with particular interests in physical methods for gene mapping, bacterial transposable elements, and conjugative plasmids. During 30 years of active teaching, he has taught chemistry, biology, and computational biology at both the undergraduate and graduate levels.

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Jorge Cardoso, Amit P. Sheth, «Semantic Web Services, Processes and Applications»
Springer | ISBN: 0387302395 | 1 edition (August 3, 2006) | 383 pages | PDF | 19 Mb


Semantics, Web services, and Web processes promise better re-use, universal interoperability and integration. Semantics has been recognized as the primary tool to address the challenges of a broad spectrum of heterogeneity and for improving automation through machine understandable descriptions.

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Lixin Zhang / Arnold L. Demain, «Natural Products: Drug Discovery and Therapeutic Medicine»
Humana Press | ISBN: 1588293831 | 1 edition (April 15, 2005) | 400 pages | PDF | 4.3 Mb

A fresh examination of the past successes of natural products as medicines and their new future from both conventional and new technologies. High-performance liquid chromatography profiling, combinatorial synthesis, genomics, proteomics, DNA shuffling, bioinformatics, and genetic manipulation all now make it possible to rapidly evaluate the activities of extracts as well as purified components derived from microbes, plants, and marine organisms.

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The Elements of Statistical Learning by T. Hastie (Author), R. Tibshirani (Author), J. H. Friedman (Author)
Publisher: Springer; 1st ed. 2001. Corr. 3rd printing edition (July 30, 2003) | ISBN-10: 0387952845 | DjVu | 4 Mb | 552 pages


During the past decade there has been an explosion in computation and information technology. With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology.

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Mining Sequential Patterns from Large
Springer| ISBN 0387242465 | 2005-02-28 | PDF | 168 pages | 7.06 MB


The focus of Mining Sequential Patterns from Large Data Sets is on sequential pattern mining. In many applications, such as bioinformatics, web access traces, system utilization logs, etc., the data is naturally in the form of sequences. This information has been of great interest for analyzing the sequential data to find its inherent characteristics. Examples of sequential patterns include, but are not limited to, protein sequence motifs and web page navigation traces.

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Christoph Schnoor, Michael Schworer, Jochen Decker, Udo Reischl, Molecular Diagnosis of Infectious Diseases
Publisher: AACC Press | December, 2003 | ISBN: 1588292215 | ISBN-10: 1588292215 | pdf | 44 mb

Accenture GmbH, Munich, Germany. Provides the latest methods for the protein-based diagnosis of infectious diseases. Discusses the newest data in genomics, proteomics, bioinformatics, recombinant technology, and biosensors. Previous edition: c1997, was authored by Udo Reischl. DNLM: Communicable Diseases–diagnosis.

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Novel Compounds From Natural Products In The New Millennium: Potential And Challenges
World Scientific Publishing | ISBN: 9812561137 | 2004-10-28 | PDF | 319 pages | 15.7 Mb | RS

There is continuing interest in natural products as sources of potentially new and exciting chemical compounds. This book brings together the knowledge, perspectives and research findings of a varied group of scientists on a wide range of topics, from microarrays, genetics and bioinformatics to yeast-based technologies and enzyme studies.

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Francesca Rossi (Editor), Peter van Beek (Editor), Toby Walsh (Editor), "Handbook of Constraint Programming"
pages: 978 | Publisher: Elsevier Science (October 13, 2006) | English | ISBN-10: 0444527265 | PDF | 11.6 MB


Constraint programming is a powerful paradigm for solving combinatorial search problems that draws on a wide range of techniques from artificial intelligence, computer science, databases, programming languages, and operations research. Constraint programming is currently applied with success to many domains, such as scheduling, planning, vehicle routing, configuration, networks, and bioinformatics

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Jean-Charles Sanchez (Editor), Garry L. Corthals (Editor), Denis F. Hochstrasser (Editor),
"Biomedical Applications of Proteomics"
John Wiley & Sons | ISBN 3527308075 | 2004 Year | PDF | 5,3 Mb | 452 Pages

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Daniel P. Berrar (Editor), Werner Dubitzky (Editor), Martin Granzow (Editor),

"A Practical Approach to Microarray Data Analysis"
Springer | ISBN 1402072600 | 2002 Year | DjVu | 6,7 Mb | 384 Pages

A Practical Approach to Microarray Data Analysis is for all life scientists, statisticians, computer experts, technology developers, managers, and other professionals tasked with developing, deploying, and using microarray technology including the necessary computational infrastructure and analytical tools. The book addresses the requirement of scientists and researchers to gain a basic understanding of microarray analysis methodologies and tools.

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Isaac S. Kohane, Alvin Kho, Atul J. Butte, "Microarrays for an Integrative Genomics"

The MIT Press | ISBN 0262612100 | 2005 Year | DjVu | 5 Mb | 326 Pages

Functional genomics — the deconstruction of the genome to determine the biological function of genes and gene interactions — is one of the most fruitful new areas of biology. The growing use of DNA microarrays allows researchers to assess the expression of tens of thousands of genes at a time. This quantitative change has led to qualitative progress in our ability to understand regulatory processes at the cellular level.

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Lipo Wang, Xiuju Fu, "Data Mining with Computational Intelligence"
Springer | ISBN 3540245227 | 2005 Year | PDF | 2 Mb | 276 Pages

Finding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully in application areas such as bioinformatics, banking, retail, and many others.

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Daniel Ashlock, «Evolutionary Computation for Modeling and Optimization»
Springer | ISBN 0387221964 | 2005 Year | PDF | 3,04 Mb | 572 Pages

Evolutionary Computation for Optimization and Modeling is an introduction to evolutionary computation, a field which includes genetic algorithms, evolutionary programming, evolution strategies, and genetic programming. The text is a survey of some application of evolutionary algorithms. It introduces mutation, crossover, design issues of selection and replacement methods, the issue of populations size, and the question of design of the fitness function. It also includes a methodological material on efficient implementation.

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Richard J. Reece, «Analysis of Genes and Genomes»
John Wiley & Sons | ISBN 0470843799 | 2004 Year | PDF | 7,61 Mb | 490 Pages

This beautifully illustrated textbook provides a clear guide to the tools and techniques of genetic engineering, gene cloning and molecular biology. All aspects of genetic engineering in the post-genomic era are covered, beginning with the basics of DNA structure and DNA metabolism. Using an example-driven approach, the fundamentals of creating mutations in DNA, cloning in bacteria, yeast, plants and animals are all clearly presented.

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Handbook of Drug Screening
edited byRamakrishna Seethala and Prabhavathi Fernandes

ISBN: 0824741447 | year 2001 | English
520pages | pdf | size:8,62Mb

This state-of-the-art reference provides comprehensive coverage of current screening techniques, modern technologies, and high-capacity instrumentation for increased productivity in the development and discovery of new drugs, chemical compounds, and targeted delivery of pharmaceuticals.
Handbook of Drug Screening describes the construction and compilation of chemical compound databases in the fields of genomics, combinatorial chemistry, high-throughput screening, and clinical trials for the use of drug discovery and development!

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MiHD download (8.62 MB) >>>

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Christopher A. Cullis, «Plant Genomics and Proteomics»
ISBN: 0471373141 | Publisher: Wiley-Liss | Publication Date: 2004-01-02 | Number Of Pages: 232 | PDF | 1,04 MB

Summary:
Plant research has stood at the forefront of the genomics revolution. One of the first genome projects, the sequencing of the commonly used model organism Arabidopsis, has already yielded important results for the study of a broad array of crops such as corn and soybeans.

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John Enderle / Susan M. Blanchard / Joseph Bronzino, «Introduction to Biomedical Engineering, 2nd Edition»
Academic Press | ISBN: 0122386620 | 2 edition (April 6, 2005) | 1144 pages | PDF | 24.3 Mb

Under the direction of John Enderle, Susan Blanchard and Joe Bronzino, leaders in the field have contributed chapters on the most relevant subjects for biomedical engineering students. These chapters coincide with courses offered in all biomedical engineering programs so that it can be used at different levels for a variety of courses of this evolving field.

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Cancer: Principles and Practice of Oncology, 7th Ed (CD-ROM)

Acclaimed by the worldwide medical community as 'the ultimate authority on cancer' (JAMA), Cancer: Principles and Practice of Oncology is now in its Seventh Edition. This completely revised, updated classic reflects the latest breakthroughs in molecular biology, cancer prevention, and multimodality treatment of every cancer type.

New chapters examine molecular biologic techniques including proteomics, genomics, targeted therapies, RNA interference, cDNA arrays, and tissue arrays. New sections discuss bioinformatics and societal issues in oncology, including regulatory issues, telemedicine, and international differences in oncology. Coverage also includes new information on functional and metabolic imaging, vaccines, and antiangiogenesis agents.

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Handbook of Statistics in Clinical Oncology SECOND EDITION
John Crowley; Donna Pauler Ankerst


ISBN: 0824723392 | 640 pages | 2006
Pdf | English | 17,42 Mb

Book Description
A compendium of cutting-edge statistical approaches to solving problems in clinical oncology, this book focuses on clinical trials in phases I, II, and III, proteomic and genomic studies, complementary outcomes and exploratory methods.

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by Shelley Powers, «Practical RDF»
O'Reilly | ISBN: 05960026377 | Year: 2003 | chm | 1.79Mb | 331 Pages

The Resource Description Framework (RDF) is a structure for describing and interchanging metadata on the Web--anything from library catalogs and worldwide directories to bioinformatics, Mozilla internal data structures, and knowledge bases for artificial intelligence projects. RDF provides a consistent framework and syntax for describing and querying data, making it possible to share website descriptions more easily.

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Fundamental Probability: A Computational Approach
by Marc Paolella
Publisher: John Wiley & Sons (April 28, 2006)
Language: English
ISBN: 0470025948
Pages:488
Format:PDF
Size:3.53 MB rared

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Henrik Flyvbjerg (Editor), Frank Julicher (Editor), Pal Ormos (Editor), Francois David (Editor), «Physics of Bio-Molecules and Cells»
ISBN: 3540441328 | Publisher: Springer-Verlag Telos | Publication Date: 2002-11-18 | Number Of Pages: 580 | PDF | 10,3 MB

Summary:
Aimed at those working to enter this rapidly developing field, this volume on biological physics is written in a pedagogical style by leading scientists giving explanations that take their starting point where any physicist can follow and end at the frontier of research in biological physics.

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Wan-Li Xing (Editor), Jing Cheng (Editor), «Frontiers in Biochip Technology»
Springer | ISBN: 0387255680 | 1st ed | 2006 Year | PDF | 8,77 Mb | 354 Pages

Frontiers in Biochip Technology serves as an essential collection of new research in the field of biochip technology. This comprehensive collection covers emerging technologies and cutting –edge research in the field of biochip technology, with all chapters written by the international stars of this evolving field.

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Cancer: Principles & Practice Of Oncology - 7th Edition - CD
Lippincott Williams & Wilkins | 7th Edition (December 1, 2004) | 3120 Pages
ISBN: 0781748658 | ISO Format (IsoMaker v1.8) | Size: 128 MB Aprox.

This cd includes the complete textbook, with the figures and tables from the book... And it is a wonderful resource for any powerpoint slide show or class about oncology you wanna prepare.

Part 1 | Part 2

The Journal of Real-Time Image Processing

Editors-in-Chief: N. Kehtarnavaz; M.F. Carlsohn, «Journal of Real-Time Image Processing»
Springer | ISSN: 1861-8219 | Up to 2007(!) | PDF | Each article - separate file | 6 mb

The Journal of Real-Time Image Processing is intended to bridge the gap between the theory and practice of image processing, serving the greater community of researchers, practicing engineers, and industrial professionals who deal with designing, implementing or utilizing image processing systems which must satisfy real-time design constraints.

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Computational Intelligence: Engineering of Hybrid Systems
9783540232193 (3540232192) | Springer, 2005 | 4MB | RS | FF

Hybrid Intelligent Systems has become an important research topic in computer science and a key application field in science and engineering. This book offers a gentle introduction to the engineering aspects of hybrid intelligent systems, also emphasizing the interrelation with the main intelligent technologies such as genetic algorithms – evolutionary computation, neural networks, fuzzy systems, evolvable hardware, DNA computing, artificial immune systems.

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Molecular Nutrition and Genomics: Nutrition and the Ascent of Humankind
Stationary Office | Pages: 140 | 2007-07-09 | ISBN: 0470081597 | 15 MB

This fascinating book draws it subject matter from a range of relevant disciplines that extend from molecular nutrition, nutritional sciences, and nutrition dietetics through to genetics, genomics, and anthropology.

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Analysis of Phylogenetics and Evolution with R (Use R)
Springer | ISBN 0387329145 | 2006-07-27 | PDF | 211 pages | 986 kB

The increasing availability of molecular and genetic databases coupled with the growing power of computers gives biologists opportunities to address new issues, such as the patterns of molecular evolution, and re-assess old ones, such as the role of adaptation in species diversification.

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Drug Discovery Research: New Frontiers in the Post-Genomic Era
Wiley-Interscience | ISBN 0471672009 | 2007-07-16 | PDF | 536 pages | 6.56 MB

Post Genomics Drug Discovery and Research explores and discusses some of the most important topics in post-genomics life and biopharmaceutical sciences. It provides an introduction to the field, outlining examples of many techniques currently used, as well as those still under development, which are important for the research of biopharmaceutical discovery in the post-genomics era.

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Reconfigurable Computing: Accelerating Computation with Field-Programmable Gate Arrays
Publisher:Springer (2005-12-14) | ISBN-10: 0387261052 | PDF | 2.3 Mb | 238 pages

This volume is unique: the first comprehensive exposition of the exciting new field of Reconfigurable Computing with FPGAs. By mapping algorithms directly into programmable logic, FPGA accelerators offer and deliver 10X-100X performance increases over microprocessors for a large range of application domains.

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Current Topics in Computational Molecular Biology (Computational Molecular Biology)
Publisher:The MIT Press (2002-03-07) | ISBN-10: 0262100924 | PDF | 6.3 Mb | 556 pages

Computational molecular biology, or bioinformatics, draws on the disciplines of biology, mathematics, statistics, physics, chemistry, computer science, and engineering. It provides the computational support for functional genomics, which links the behavior of cells, organisms, and populations to the information encoded in the genomes, as well as for structural genomics. At the heart of all large-scale and high-throughput biotechnologies, it has a growing impact on health and medicine.

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4 Comments:

At 8:19 AM, Blogger chinu said...

hello sir,, actually i am looking for
The Elements of Statistical Learning by T.

you uploaded it in rapidshare but it seems that it got deleted from there. Can you please send/mail it to me or upload it again there. i will be really greatful for this.

regards
chinmay
chinu.pandey@gmail.com

 
At 9:26 AM, Blogger fsfs said...

please give working links to current protocols in bioinformatics

 
At 11:59 PM, Blogger Centennial College said...

Very informative as well as educative.The aim of this book is to retain interest amongst the readers.The book proves to be all in one.
Thanks
-----------
Bioinformatics Course

 
At 3:57 AM, Blogger madalina said...

hello.
i am very fond of your blog. i desperately need the book "Statistical Methods in Bioinformatics: An Introduction (Statistics for Biology and Health) by Warren J. Ewens" and both links are dead. can you please upload it again or email it to me (my email is contained in my blogger profile)?
thank you very much. have a stunningly pleasant day. :)

 

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