About this Book
- The ideal text for anyone encountering bioinformatics for the first time.
- Strikes a careful balance between biology and computer science: introduces those aspects of computer science which underpin the subject without demanding detailed prior knowledge.
- Packed with learning features, including exercises, problems, and WebLems, to promote student engagement with the subject, and self-directed learning.
- Retains the eloquent style and clarity of explanation for which the author is renowned, making the subject truly accessible to a wide range of students.
- Online Resource Centre includes figures from the book available to download, to facilitate lecture preparation, and a variety of interactive resources, including web links, 3D structures, and data sets, to support and encourage hands-on learning by the student.
New to this edition
- New chapter on biological organisation in space and time, mirroring recent advances in genomics, transcriptomics, proteomics and metabolomics.
- New chapter on scientific publications and archives, providing a state of the art inventory of how to source scientific literature.
- Expanded coverage of structural bioinformatics, reflecting recent breakthroughs in the subject area.
- Enhanced Online Resource Centre, with new guided tours of key websites, and lab assignments to support the in-depth exploration of concepts and themes covered in the book.
Life in a post-genomic age has the promise to revolutionize our understanding of how our genes shape who we are, how our genome evolved, and how we function. There are new possibilities for an improved quality of life as we exploit new knowledge to design novel, more effective drugs. Central to these possibilities being realized is one of the most important information-gathering, data-mining, and knowledge-building tools in current research and healthcare development: bioinformatics.
An Introduction to Bioinformatics introduces students to the immense power of bioinformatics as a set of scientific tools. The book explains how to access the data archives of genomes and proteins, and the kinds of questions these data and tools can answer: how to make inferences from the data archives, to make connections among them, and to derive useful and interesting predictions.
Blending factual content with many opportunities for active learning, Introduction to Bioinformatics offers a truly reader-friendly way to get to grips with this subject, making it the ideal resource for anyone new to the field.
Table of Contents
- Genome organization and evolution
- Scientific publications and archives: media, content and access
- Archives and information retrieval
- Alignments and phylogenetic trees
- Structural bioinformatics and drug discovery
- Proteomics and systems biology
Review(s) from previous edition
"I have a very favourable opinion of this book. It covers the basics of all aspects of bioinformatics at a level that is very compatible with how I teach. The amount of material presented is appropriate for a one semester class. The problems are excellent: well thought out and plentiful. - Dr Mitrick A. Johns, Northern Illinois University, USA
"I like Lesk's conceptual style. It is close to how I teach...it provides a little bit of web sites, a little bit of algorithms, a little bit of theory, and much casual exposure to a range of bioinformatics topics. It is easy to use as a text. " - Dr Lorraine Marsh, Long Island University, USA
"This is a very good introductory textbook in bioinformatics. It is well-structured and nicely laid out. There are numerous examples and problems attached to each chapter, including the novel Weblems." - Dr Karen Page, University College London, UK
"Overall the book is well laid out. There is a good mixture between information text and case studies. There is a good selection of recommended reading and problems at the end of each chapter. I like the learning goals at the beginning of each chapter and the plan of the book before chapter 1." - Dr Dawn Louise Arnold, University of the West of England, UK
Arthur Lesk, The Pennsylvania State University, USA.