eBook By Category (Bioinformatics)

A step-by-step guide to using computational tools to solve problems in cell biology

Combining expert discussion with examples that can be reproduced by the reader, A Cell Biologist's Guide to Modeling and Bioinformatics introduces an array of informatics tools that are available for analyzing biological data and modeling cellular processes

You learn to fully leverage public databases and create your own computational models

All that you need is a working knowledge of algebra and cellular biology; the author provides all the other tools you need to understand the necessary statistical and mathematical methods

This book constitutes the refereed proceedings of the 4th International Workshop on Algorithms in Bioinformatics, WABI 2004, held in Bergen, Norway in September 2004

The 39 revised full papers presented were carefully reviewed and selected from 117 submissions

Among the topics addressed are all current issues of algorithms in bioinformatics, such as exact and approximate algorithms for genomics, genetics, sequence analysis, gene and signal recognition, alignment, molecular evolution, phylogenetics, structure determination or prediction, gene expression and gene networks, proteomics, functional genomics, and drug design

An introduction to biological networks and methods for their analysis

Analysis of Biological Networks is the first book of its kind to provide readers with a comprehensive introduction to the structural analysis of biological networks at the interface of biology and computer science

The book begins with a brief overview of biological networks and graph theory/graph algorithms and goes on to explore: global network properties, network centralities, network motifs, network clustering, Petri nets, signal transduction and gene regulation networks, protein interaction networks, metabolic networks, phylogenetic networks, ecological networks, and correlation networks

Analysis of Biological Networks is a self-contained introduction to this important research topic, assumes no expert knowledge in computer science or biology, and is accessible to professionals and students alike

Confused by cryptic computer programs, algorithms and formulae?

In this book, anyone who can operate a PC, standard software and the Internet will learn to understand the biological basis of bioinformatics of the existence as well as the source and availability of bioinformatics software how to apply these tools and interpret results with confidence

This is aided by introductory chapters to important aspects of bioinformatics, detailed bioinformatics exercises, including solutions and a glossary of definitions and terminology relating to bioinformatics

Wiley is proud to announce the publication of the first ever broad-based textbook introduction to Bioinformatics and Functional Genomics by a trained biologist, experienced researcher, and award-winning instructor

In this new text, author Jonathan Pevsner, winner of the 2001 Johns Hopkins University `Teacher of the Year` award, explains problem-solving using bioinformatic approaches using real examples such as breast cancer, HIV-1, and retinal-binding protein throughout

His book includes 375 figures and over 170 tables

Collaborative research in bioinformatics and systems biology is a key element of modern biology and health research

This book highlights and provides access to many of the methods, environments, results and resources involved, including integral laboratory data generation and experimentation and clinical activities

Collaborative projects embody a research paradigm that connects many of the top scientists, institutions, their resources and research worldwide, resulting in first-class contributions to bioinformatics and systems biology

Were you always curious about biology but were afraid to sit through long hours of dense reading? Did you like the subject when you were in high school but had other plans after you graduated? Now you can explore the human genome and analyze DNA without ever leaving your desktop!

Solving modern biological problems requires advanced informatics and computational methods

Key techniques include database management, data modeling, pattern recognition, data mining, query processing and visualization of biological data

Until very recently, virtually all public databases were simply large flat files stored in simple format

Bioinformatics is an evolving field that is gaining popularity due to genomics, proteomics and other high-throughput biological methods

The function of bioinformatic scientists includes biological data storage, retrieval and in silico analysis of the results from large-scale experiments

This requires a grasp of knowledge mining algorithms, a thorough understanding of biological knowledge base, and the logical relationship of entities that describe a process or the system

`In this book, Andy Baxevanis and Francis Ouellette

Biological research and recent technological advances have resulted in an enormous increase in research data that require large storage capacities, powerful computing resources, and accurate data analysis algorithms

Bioinformatics is the field that provides these resources to life science researchers

The Swiss Institute of Bioinformatics (SIB), which has celebrated its 10th anniversary in 2008, is an institution of national importance, recognized worldwide for its state-of-the-art work

Bioinformatics is interpreted as the application of information science to biology, in which it plays a fundamental and all-pervasive role

The field continues to develop intensively in both academia and commercially, and is highly interdisciplinary

This broad-ranging and thoroughly updated second edition covers new findings while retaining the successful formula of the original text

Life science data integration and interoperability is one of the most challenging problems facing bioinformatics today

In the current age of the life sciences, investigators have to interpret many types of information from a variety of sources: lab instruments, public databases, gene expression profiles, raw sequence traces, single nucleotide polymorphisms, chemical screening data, proteomic data, putative metabolic pathway models, and many others

Unfortunately, scientists are not currently able to easily identify and access this information because of the variety of semantics, interfaces, and data formats used by the underlying data sources

There are fundamental principles for problem analysis and algorithm design that are continuously used in bioinformatics

This book concentrates on a clear presentation of these principles, presenting them in a self-contained, mathematically clear and precise manner, and illustrating them with lots of case studies from main fields of bioinformatics (e

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GET FULLY UP-TO-DATE ON BIOINFORMATICS-THE TECHNOLOGY OF THE 21ST CENTURY

Bioinformatics showcases the latest developments in the field along with all the foundational information you'll need

It provides in-depth coverage of a wide range of autoimmune disorders and detailed analyses of suffix trees, plus late-breaking advances regarding biochips and genomes

Featuring helpful gene-finding algorithms, Bioinformatics offers key information on sequence alignment, HMMs, HMM applications, protein secondary structure, microarray techniques, and drug discovery and development

The completion of the first draft of the human genome has led to an explosion of interest in genetics and molecular biology

The view of the genome as a network of interacting computational components is well-established, but researchers are now trying to reverse the analogy, by using living organisms to construct logic circuits

The potential applications for such technologies is huge, ranging from bio-sensors, through industrial applications to drug delivery and diagnostics

This volume contains about 40 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

Abstracts from the keynote addresses and invited talks are also included

This book brings together the two disparate worlds of computational text analysis and biology and presents some of the latest methods and applications to proteomics, sequence analysis and gene expression data

Modern genomics generates large and comprehensive data sets but their interpretation requires an understanding of a vast number of genes, their complex functions, and interactions

Keeping up with the literature on a single gene is a challenge itself-for thousands of genes it is simply impossible

Bioinformatics--the application of computational and analytical methods to biological problems--is a rapidly evolving scientific discipline

As a result of advances in gene sequencing, biological databases are growing exponentially

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

Bioinformatics has never been as popular as it is today

The genomics revolution is generating so much data in such rapid succession that it has become difficult for biologists to decipher

In particular, there are many problems in biology that are too large to solve with standard methods

In this introduction to computational molecular biology, Rex Dwyer explains many basic computational problems and gives concise, working programs to solve them in the Perl programming language

With minimal prerequisites, he covers the biological background for each problem, develops a model for the solution, and then introduces the Perl concepts needed to implement the solution

The chapters discuss pairwise and multiple sequence alignment, fast database searches for homologous sequences, protein motif identification, genome rearrangement, physical mapping, phylogeny reconstruction, satellite identification, sequence assembly, gene finding, and RNA secondary structure

Information processing and information flow occur in the course of an organism's development and throughout its lifespan

Organisms do not exist in isolation, but interact with each other constantly within a complex ecosystem

The relationships between organisms, such as those between prey or predator, host and parasite, and between mating partners, are complex and multidimensional

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 ?

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

Shows how R can be used to solve bioinformatics and computational biology problems
Due to its data handling and modeling capabilities as well as its flexibility, R is becoming the most widely used software in bioinformatics

R Programming for Bioinformatics explores the programming skills needed to use this software tool for the solution of bioinformatics and computational biology problems

From the co-developer of R and lead founder of the Bioconductor project
Drawing on the author?

This trail-blazing work introduces a quantitative systems approach to bioinformatics research using powerful computational tools drawn from signal processing, circuit analysis, control systems, and communications

It presents the functionality of biological processes in an engineering context to facilitate the application of technical skills in solving the field's challenges, from the lab bench to data analysis and modeling, and to enable reverse engineering from biology in the development of synthetic biological devices

This first-of-its-kind text explores how the knowledge bases of various technical disciplines relate to, and are observed, in biological systems