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Introduction to Bioinformatics by Arthur M. 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 th 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. 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 and to develop a working understanding and appreciation of the power of bioinformatics as a research tool.
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Be the first to ask a question about Introduction to Bioinformatics. Lists with This Book. This book is not yet featured on Listopia. Community Reviews. Showing Average rating 4. Rating details. More filters. Sort order. Start your review of Introduction to Bioinformatics. Lesk's introduction is an excellent guide for the newcomer to the world of large-scale genomic data. It is my opinion that you can end your search here for an entry point to the modern field of bioinformatics.
It's organized around tools of the trade rather than grandiose theory systems biology discussions left off till the last chapter , and will serve better as a introduction for undergraduates or researchers new to the field than a reference book for experts.
It's biggest perk is the lucidne Lesk's introduction is an excellent guide for the newcomer to the world of large-scale genomic data. It's biggest perk is the lucidness of discussion and readability. As best I can tell, the target audience is undergraduate biology students who have basic familiarity with computer programming. Virtually no mathematical sophistication is required -- there is not a proof in sight, and complex mathematical topics like Hidden Markov Models and Monte Carlo algorithms are explained in an unintimidating, intuitive manner.
Computer science knowledge such as graph theory, dynamic programming, and computational complexity are introduced minimally and only when they are needed. Biological concepts are also sufficiently explained, except for perhaps a term here and there, and as a computer scientist I found the book a cinch to read. Lesk's writing style is lucid and motivated.
You know not only what you're learning, but why you're learning it and what you can do with it. Therefore, the book is self-contained and is excellent for self-study.
The first half of the book Chapter are a high-level overview, and a practical summary of existing databases of genetic and proteomic data. This serves an excellent guide for those who A need to become familiar with the websites that "everybody" in the field knows about, or B are eager to get their paws on sequence data and start playing!
Chapter 3 even gives a very brief introduction to data mining and natural language processing for extracting information from the literature. Chapters are the meat of the matter. Sequence alignment chapter 5 is "THE basic tool of bioinformatics" p. Dotplots, single and multiple sequence alignment, profiling, BLAST, PSI-BLAST, Hidden Markov Models, and phylogenetic trees are all discussed and situated so that the read knows the advantages and disadvantages of each tool, and their limitations used to motivated future chapters on protein structure.
Chapter 6 covers protein folding, structure prediction, classification, and function prediction, as well as applications to drug discovery. Chapter 7 ends the book with a more theoretical, big-picture discussion of systems biology, information theory, and regulatory networks. Overall, I think this book is great.
It will give you a solid, if low-resolution understanding of the field, and the writing style ensures that you have a genuine understanding of the tools' relationship to scientific questions.
The book is full of practical tips like "Visual examination of multiple sequence alignment tables is one of the most profitable activities that a molecular biologist can undertake away from the lab bench. Don't even THINK about not displaying them with different colors for amino acids of different physiochemical type" p. He also is careful to emphasize difficulties in, for instance, inferring homology from sequence similarity, and in making assumptions about mutation rate. And if you are a biologist who doesn't need more than a basic understanding of the most effective tools, maybe this is sufficient.
That said, as a computer scientist with a math degree under my belt, I did miss the presence of rigorous mathematics. Then again, that's probably why I didn't ever finish reading Waterman! That said, I should point out that I was never bored with Lesk's description of algorithms. Pretty good intro. Some problems with the layout were quite annoying though. View 2 comments. Mar 27, Tim Verstraete rated it really liked it.
Find it a fascinating topic and it appeared that the book was written in a very accessible style and content. Dec 23, Tiffany rated it liked it. Not the best bioinformatics textbook I've seen Mount is better.
But not bad, and actually has quite a bit of Perl code in it. Aliabbas rated it really liked it Aug 13, Vlad Korolev rated it it was amazing Apr 03, Thiago Marchini rated it really liked it Mar 01, Martin rated it really liked it Feb 16, Zawadi Idi rated it liked it Jan 12, Cyltie rated it really liked it Feb 20, Shubham Khavle rated it liked it Mar 14, Jason Benedict rated it really liked it Apr 24, Ti Ti rated it it was amazing Aug 29, Lizantrop rated it it was amazing May 04, Andrew rated it really liked it Dec 14, Shrihith93 rated it really liked it Sep 27, Claressa Knight rated it really liked it Apr 16, Amanda rated it it was amazing Jul 17, Valia rated it really liked it Jun 14, Tom Oinam rated it really liked it Dec 25, Anna Guryanova rated it it was amazing May 31, Jesse rated it really liked it Jul 26, Yasoo rated it really liked it Jun 06, Nicola Cosgrove rated it liked it Mar 15, Shoaiba Shaheen rated it liked it Dec 05, Elissa Teran rated it really liked it Jan 03, Mayy Al-tayeb rated it it was amazing Nov 22,
Introduction to Bioinformatics
Introduction to Bioinformatics. Arthur Lesk. A vast amount of biological information about a wide range of species has become available in recent years as technological advances have significantly reduced the time it takes to sequence a genome or determine a novel protein structure. This text describes how bioinformatics can be used as a powerful set of tools for retrieving and analysing this biological data, and how bioinformatics can be applied to a wide range of disciplines such as molecular biology, medicine, biotechnology, forensic science and anthropology. Fully revised and updated, the fourth edition of Introduction to Bioinformatics contains two new chapters, with significantly increased coverage of metabolic pathways, and gene expression and regulation.