The book provides an undergraduate (final year) introduction to bioinformatics focussing on two key areas, genomics and protein sequence analysis. It provides an overview of primary, composite and secondary databases, and gives a brief introduction to the Internet and the world wide web.

Developing Bioinformatics Computer Skills will help biologists, researchers, and students develop a structured approach to biological data and the computer tools they'll need to analyze it. The book covers the Unix file system, building tools and databases for bioinformatics, computational approaches to biological problems, an introduction to Perl for bioinformatics, data mining, data visualization, and tips for tailoring data analysis software to individual research needs.

The book covers the key concepts in bioinformatics which is up-to date, from databases to predictive and comparative algorithms. Features includes new chapters on genomic databases, predictive methods using RNA sequences, sequence polymorphisms, protein structure prediction, intermolecular interactions, and proteomic approaches for protein identification, detailed worked examples ,annotated reference lists, comprehensive lists of relevant Web resources, and an extensive glossary of commonly used terms in bioinformatics, genomics and proteomics

Instant Notes in Bioinformatics provides concise yet comprehensive coverage of bioinformatics at an undergraduate level, with easy access to the fundamentals in this complex field.It can also be used as a exam notes for undergraduates studying bioinformatics. Topics include: protein and DNA sequencing, large scale gene expression data, EST sequencing, and gene chips and DNA microarrays. All the important areas in bioinformatics are covered in a format which is ideal for learning, rapid review, and reference.

The text is suitable for professionals and students at every level. In this book, author Jonathan Pevsner, explains problem-solving using real examples such as breast cancer, HIV-1 and retinal-binding protein throughout. Each chapter in the book includes: Problems, discussion of Pitfalls, Boxes explaining key techniques, Summary, Recommended Reading list, and URLs for freely available software. .

A practical introduction to bioinformatics--computer technologies that biochemical and pharmaceutical researchers use to analyze genetic and biological data. This reference addresses common biological questions, problems, and projects, while also providing a UNIX/Linux overview and tips on tweaking bioinformatic applications using Perl.Guides readers to the most helpful Web resources and freely available tools.

The second edition of this book introduces the student the power of bioinformatics as a set of scientific tools. Retaining and enhancing the rich pedagogy and lucid presentation of the first edition, explains how to access the data archives of genomes and proteins. 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.

Fundamental Concepts of Bioinformatics" is the first book co-authored by a biologist and computer scientist that is specifically designed to make bioinformatics accessible and provide readers for more advanced work. Readers learn what programs are available for analyzing data, how to understand the basic algorithms that underlie these programs, what bioinformatic research is like, and other basic concepts. Information flows easily from one topic to the next, with enough detail to support the major concepts without overwhelming readers. Problems at the end of each chapter use real data to help readers apply what th ey have learned so they know how to critically evaluate results from both a statistical and biological point of view. Focus on fundamentally important algorithms at the core of bioinformatics. For anyone interested in bioinformatics (in biology or computer science), computational biology, molecular biology, or genomics.

BLAST is the only book completely devoted to this popular suite of tools. It offers biologists, computational biology students, and bioinformatics professionals a clear understanding of BLAST as well as the science it supports. This book shows you how to move beyond the default parameters, get specific answers using BLAST, and how to interpret your results. The book also contains tutorial and reference sections covering NCBI-BLAST and WU-BLAST, background material to help you understand the statistics behind BLAST, Perl scripts to help you prepare your data and analyze your results, and a wealth of tips and tricks for configuring BLAST to meet your own research needs.

Biological Sequence Analysis clearly explains probabilistic models using an excellent balance between introductory and in-depth material. This book presents the state of the art in this new and important field, aiming to be accessible to molecular biologists, computer scientists and mathematicians, with no formal knowledge of the other fields. Written by an interdisciplinary team of authors, this book gives a unified, up-to-date account of probabilistic methods of sequence analysis.

This book covers practical important topics in the analysis of protein sequences and structures. It includes comparing amino acid sequences to structures comparing structures to each other, searching information on entire protein families as well as searching with single sequences, how to use the Internet and how to set up and use the SRS molecular biology database management system. Finally, there are chapters on multiple sequence alignment and protein secondary structure prediction

This book shows biologists with little or no programming experience how to use Perl, the ideal language for biological data analysis. Each chapter focuses on solving a particular problem or class of problems, so you'll finish the book with a solid understanding of Perl basics, a collection of programs for such tasks as parsing BLAST and GenBank, and the skills to tackle more advanced bioinformatics programming.

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.