Book Description
An Introduction to Human Molecular Genetics
Second Edition
Jack J. Pasternak
The Second Edition of this internationally acclaimed text expands its coverage of the molecular genetics of inherited human diseases with the latest research findings and discoveries. Using a unique, systems-based approach, the text offers readers a thorough explanation of the gene discovery process and how defective genes are linked to inherited disease states in major organ and tissue systems. All the latest developments in functional genomics, proteomics, and microarray technology have been thoroughly incorporated into the text.
The first part of the text introduces readers to the fundamentals of cytogenetics and Mendelian genetics. Next, techniques and strategies for gene manipulation, mapping, and isolation are examined. Readers will particularly appreciate the text's exceptionally thorough and clear explanation of genetic mapping. The final part features unique coverage of the molecular genetics of distinct biological systems, covering muscle, neurological, eye, cancer, and mitochondrial disorders. Throughout the text, helpful figures and diagrams illustrate and clarify complex material.
Readers familiar with the first edition will recognize the text's same lucid and engaging style, and will find a wealth of new and expanded material that brings them fully up to date with a current understanding of the field, including:
* New chapters on complex genetic disorders, genomic imprinting, and human population genetics
* Expanded and fully revised section on clinical genetics, covering diagnostic testing, molecular screening, and various treatments
This text is targeted at upper-level undergraduate students, graduate students, and medical students. It is also an excellent reference for researchers and physicians who need a clinically relevant reference for the molecular genetics of inherited human diseases.
Average customer rating:
- A nice introduction to structural biology
- If Frank Lloyd Wright did proteins...
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Introduction To Protien Architecture
Arthur M. Lesk
Manufacturer: Oxford University Press
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Similar Items:
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Introduction To Protein Structure
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Protiens: Structure and Function
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Structural Bioinformatics (Methods of Biochemical Analysis, V. 44)
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Protein Stucture and Function (PRIMER IN BIOLOGY)
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Structure and Mechanism in Protein Science: A Guide to Enzyme Catalysis and Protein Folding
ASIN: 0198504748 |
Book Description
Written in a clear and engaging style, and generously illustrated with superb computer graphics, Introduction to Protein Architecture is a textbook for second and third year undergraduate students and beginning post-graduate students, and will be of interest to all biological and medical scientists whose work touches on proteins. The structures and functions of proteins unlock the secrets inherent in genomes, including the human genome. The emphasis of this book is on protein architecture, on proteins as three-dimensional patterns. A new field, bioinformatics, has grown up around gene and protein sequences and structures. It has captured the interest of many scientists for its intellectual challenges, its potential for useful applications, and promising scope for careers. This book introduces the use of the World Wide Web in bioinformatics. Written by one of the leaders in this field, Introduction to Protein Architecture explains the general characteristics of proteins that underlie the vary great variety of folding patterns observed in nature. For specialists in structural biology, it contains the core of what they need to know. For students and workers in related disciplines undergraduates or beginning graduate students in biology, chemistry, medicine, bioinformatics, and related fields it contains what they will be able to apply to their own work. Topics treated include: Pattern and form in protein structure; The building blocks; The relationship between amino acid sequence and protein structure; Secondary, supersecondary and tertiary structure; Classifications and hierarchies of protein folding patterns; Protein evolution; How proteins change conformation (and why). To suit the needs of courses, each chapter includes recommended reading, lists of useful web sites, traditional exercises, and a new type of exercise called a weblem, for WEB-based probLEM.
Customer Reviews:
A nice introduction to structural biology.......2004-02-12
This book deserves 5 stars on the basis of its color stereo diagrams alone! Well done. I wish I had this book when I was starting out as a graduate student! A very good explanation of structural hierarchy. Plus the book also contains excellent details of structure of proteins belonging to specific families -for ex., antibodies. Even today, for my work, I find it very convenient to look into the book first for some structural information rather than into the PDB databases. And yes, I do have a very good pair of stereo glasses always on hand!
If Frank Lloyd Wright did proteins..........2001-02-01
This is truly a monument to the architecture of proteins: a gorgeous tour of the structures that dwell within us. The "frozen music" of biology is clearly presented in beautiful detail. The computer-generated renderings give pause to anyone who wonders what God was up to when She thought about creating life. Proteins, as represented here, are Her finest efforts. Visually stunning is only the most obvious aspect of this amazing introduction to structural genomics (proteinomics): the systematic study of protein structures. This is a serious graduate level textbook.
The text should be considered for any introductory graduate level course in biochemistry. Beginning with sound chemical principles, the text lays a solid foundation for the concepts of secondary and tertiary structure within protein. The author builds a superstructure from which to view the motifs of cofactor binding domains and active sites in enzymes.
Each chapter concludes with exercises, problems and "weblems". The weblems underscore the fact that structural genomics, a branch of bioinformatics, is a hot topic in the biotech arena. The weblems ask the reader to pursue ideas on the world wide web. The author provides the reader with a wealth of websites ranging from browser plug-in software for viewing crystal structures, to sources of those structures, to sequence alignment servers which will allow the student to do real research. Well thought-out, the weblems posed are useful to the student in exploring the topics of each chapter.
The author sticks to protein architecture avidly, issues of how proteins fold or how structure might be predicted from amino acid sequence are presented to the reader. It is a credit to the author that he does not speculate on these very hot research topics. The bibiliography for each chapter is current to mid-2000.
A student using this text will have greater insight and understanding of the literature of protein structure, folding, and prediction of structure. This book would also be a useful reference to the veteran practitioner, summarizing an early 21st century look at this field.
Book Description
What is life? Has molecular biology given us a satisfactory answer to this question? And if not, why, and how to carry on from there? This book examines life not from the reductionist point of view, but rather asks the question: what are the universal properties of living systems and how can one construct from there a phenomenological theory of life that leads naturally to complex processes such as reproductive cellular systems, evolution and differentiation? The presentation has been deliberately kept fairly non-technical so as to address a broad spectrum of students and researchers from the natural sciences and informatics.
Book Description
Biology is in the midst of a era yielding many significant discoveries and promising many more. Unique to this era is the exponential growth in the size of information-packed databases. Inspired by a pressing need to analyze that data, Introduction to Computational Biology explores a new area of expertise that emerged from this fertile field- the combination of biological and information sciences. This introduction describes the mathematical structure of biological data, especially from sequences and chromosomes. After a brief survey of molecular biology, it studies restriction maps of DNA, rough landmark maps of the underlying sequences, and clones and clone maps. It examines problems associated with reading DNA sequences and comparing sequences to finding common patterns. The author then considers that statistics of pattern counts in sequences, RNA secondary structure, and the inference of evolutionary history of related sequences. Introduction to Computational Biology exposes the reader to the fascinating structure of biological data and explains how to treat related combinatorial and statistical problems. Written to describe mathematical formulation and development, this book helps set the stage for even more, truly interdisciplinary work in biology.
Customer Reviews:
A modern classic.......2003-10-15
The first name people learn in bioinformatics is the Smith-Waterman algorithm. Some people never learn anything else. This is by that Waterman. Although written in 1995, it still has some of the best discussion I've seen on the topics it addresses.
The first few chapters deal with the "digest problem," reconstructing a DNA or protein sequence from the fragment sizes of enzyme digests. The technique is not used as much now as it was then, but it's always good to know the background of modern techniques.
The digest problem doesn't stand alone, though. It introduces concepts - islands, anchors, etc. - that still matter. The problems in reconstructing molecules from digests yield the same kinds of intermediate results and the same ambiguities that arise in modern sequencing. As Waterman advances the discussion, shotgun sequencing appears as a logical extension, at least mathematically, of digest assembly.
Sequence assembly involve end matching, perhaps in the presence of sequencing errors. That introduces the topic for which Waterman's name is famous, approximate string matching. The next few chapter progress through dynamic programming and multiple alignments. The logical connections between the techniques shown are so tight that chapter boundaries are almost artificial. It was a real pleasure to see the computational and practical relationships laid out.
The final topics, RNA structure and phylogenetic trees, lack the continuity that characterized the first dozen chapters. The RNA structure may be the weakest chapter in the book, but still a very competent introduction.
Throughout, Waterman emphasizes mathematical rigor without insisting on uninformative theorems. Every topic is presented in rich detail, with special attention to scoring and background models. Perhaps there are newer discussions of some topics. I don't know of any clearer discussions, though. Best, I think, is how Waterman prepares the reader to ask all the right questions in any future discussion: what are the elements of the computation, how can elements be recombined, how good is a result, and how does the result stand out from the statistical background.
The final chapter is what a bibliography should be. It doesn't just list authors, titles, and dates of publication. It actually discusses the contribution that each source made to this book. Rather than leave the reader to wander aimlessly among obscure titles, Waterman shows which sources are most informative on which topics. I wish more authors took the time for such commentary.
This is a book worth having. It covers topics that I haven't seen elsewhere, and shows how many different topics relate to each other. It is rigorous without giving distracting detail. Most of all, it keeps the biology in sight of all calculations. Some authors seem to forget that anything exists but the arithmetic; Waterman puts the math clearly in the service of its subject. I enjoyed it immensely, and look forward to applying its content in my own research.
Packed full of good information.......2000-08-13
This book gives a good survey of the different techniques employed by computational biologists. After a brief review of molecular biology in Chapter 1, the author treats the mathematical modeling of restriction maps in Chapter 2 using graph theory. His presentation is somewhat hurried, but he does give references and gives the reader three exercises at the end of the chapter. Multiple maps are treated in Chapter 3, wherein the author first makes use of probability theory, via the Kingman subadditive ergodic theorem. The proof is omitted but the author does a good job of explaining its use in studying the double digest problem (DDP). The best part of this chapter is the author's explanation of the difficulties of using Kingman's results for solving the DDP, and goes on to discuss multiple solutions of the DDP. Graph theory is again used in the discussion. This sets up the discussion in Chapter 4, which outlines algorithms for the DDP. The author gives a very compact introduction to P- and NP-complete problems in the theory of computation, then proves that DDP is NP-complete. The author does a good job of discussing subsequent approximate methods used for the DDP, such as simulated annealing. Markov chains are introduced in the book here for the first time, but due to the shortness of the presentation, the reader should do outside reading as a back-up. The author does a great job of explaining the difficulties if measurement error is introduced in the DDP at the end of the chapter. Cloning is discussed in Chapter 5, with tools from probability theory used to deal with partial digest libraries. The chapter is really short though, and the working the problems at the end of the chapter is essential for the understanding the results of this chapter. The author switches gears in the next chapter, wherein physical maps are discussed. The discussion is fairly detailed and interesting. Sequencing is discussed in the next two chapters, and the treatment is very good. Hashing is introduced here, and psedocode is given throughout. The very important method of dynamic programming is outlined in Chapter 9, which is beautifully written, and again pseudocode abounds throughout. Genetic mapping is left out though, but the this, the longest chapter of the book, is a detailed introduction to this area. The results in this chapter are used to study multiple sequence alignment in Chapter 10, wherein hidden Markov models are introduced for the first time. The discussion of these models is very curt, but there are other books and notes available if the reader needs further guidance. The best chapter of the book follows, which discusses probability and statistics for sequence alignment. The theory of large deviations is brought in, and the author does an excellent job of discussing this important, and powerful theory. The reader's level of mathematical sophistication is assumed to be a lot greater than the rest of the book in this chapter. Knowledge of measure theory and martingales are assumed here. The author uses the very powerful tool of relative entropy, so indispensable in other applications of probability. The problem set at the end of the chapter is challenging but working them through is definitely worth the time involved. The next chapter also uses some heavy guns from probability theory to study sequence patterns. The author returns to matter of a more empirical nature in Chapter 13, which deals with RNA secondary structures. The reader with a background in simple combinatorial theory should find the reading straightforward and informative. Continuous-time Markov chains are introduced in the next chapter to study trees and sequences. The treatment here is rather hurried, so again the reader should work the exercises at the end of the chapter. The book ends with a discussion of the literature and references. All in all a very nice book, worth the price, and worth spending time reading. The only minus might be the total omission of actual source code, but that really was not the intent of the book. Readers with a strong mathematical background will like the book, as well as anyone interested in going into the area of computational biology.
Book Description
Richly illustrated throughout, this book provides a comprehensive, approachable summary of the field of crystallography, fundamental theory of diffraction and properties of crystals, applications in determining macromolecular structure. Dedicated to providing a complete introduction to the subjectthat does not assume a background in physics or math, books contents flow logically from basic principles to methods, such as those for solving phase problems, interpretation of Patterson maps, and the difference Fourier method. This introduction includes practical instruction on interpretation of data and methods for determining phases and also:Â
- Illustrates concepts throughout to clarify difficult ideas
- Integrates analogies to illuminate the text
- Equips the reader to employ the range of programs in crystallography
Customer Reviews:
Highly Recommended.......2003-09-03
"...I highly recommend this book...in fact, I foresee it finding its way to the bookshelves of many faculty members, albeit with frequent removal for consultation as an educational tool!" (Clinical Chemistry, Vol. 49, No. 7, 2003)
Recommended Book.......2003-05-15
"...this welcome addition to the introductory crystallographic literature should be well received...recommended..." (Choice, Vol. 40, No. 8, April 2003)
Excellent.......2003-05-15
"...an excellent introductory text..." (Journal of Proteome Research, Vol. 2, No. 2, March/April 2003)
Masterful.......2003-04-24
"...a masterful presentation of the theory and practice of crystallography as applied to large molecules. Any student or professional who wants to deepen his or her understanding of the field should work through this text. The clarity, completeness, and simplicity of [Dr. McPherson's] treatment are impressive." --Andrew J.Howard, Argonne National Laboratory, Argonne, Illinois, and Illinois Institute of Technology, Chicago, Illinois
Average customer rating:
- clearly written undergraduate text
- Up to date and still very readable
- A Good Book for Introductory Courses in Molecular Biology
- A Versatile, Accessible Introduction
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Gene Cloning and DNA Analysis: An Introduction
T. A. Brown
Manufacturer: Blackwell Publishing, Incorporated
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Similar Items:
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Principles of Gene Manipulation and Genomics
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An Introduction to Genetic Engineering (Studies in Biology)
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Genomes 3
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Exploring Genomes: Web Based Bioinformatics Tutorials
ASIN: 063205901X |
Customer Reviews:
clearly written undergraduate text.......2006-11-30
As an introductory text on its subject, the book is well written. With copious diagrams that are easy to understand and that illustrate key ideas. A merit of the book is the clarity of the textual exposition, reinforced by those diagrams.
The text is also quite up to date in this fast changing field. With the good coverage of many topics. Including the seminal Polymerase Chain Reaction, that is the basis of so much else. You can see that genomics/biotechnology is now a practical and quantitative science. With plenty remaining to be understood, to be sure. But the book shows that we now have powerful tools to experiment with, to reduce our ignorance.
Up to date and still very readable.......2006-04-12
This book has become the standard introductory text at the undergraduate level for students in the first or second year of college and as an introductory book for researchers whose specialty lies in other areas but needing to know more about the subject. While an introductory text, it does presume that you are approaching the subject with at least some background in biology. If nothing else, you need to know what a gene is and have some idea about why you would want to clone it.
This basic book has been around for about twenty years. The twenty years since then have seen tremendous advances in the techniques and science as they now exist. This is the fifth edition of the book and it is as up to date as any printed book can be.
Since the book was written the public awareness of genetically altered plants has increased tremendously. A major goal of this new edition is to present to the student the true facts about genetically modified agricultural products. The final chapter on Forensic science and Archaeology is most fascinating as it provides a non technical look at DNA analysis in criminal acts and in the tracing of the human species.
Highly recommended.
A Good Book for Introductory Courses in Molecular Biology.......2004-12-31
I am a science student Studying Biochemistry and Molecular Biology. I used this book as a reference book for an Introduction to Genetic Engineering course. It was a great help for me. The book outlines the basic principles and methods in many aspects of Molecular Biology and Genetic Engineering in the simplest of ways. The book is easy to understand even to people with no big background in Molecular Biology as it explains everything from zero. It is a great book for introductory courses or as a quick reference for the basic ideas of some techniques and advances in the field. It does not give a lot of detail and explanation that is usually required from university students, such as myself, so more in-depth references are certainley required. However, as a joyful read for those interested in the field, or simply as a quick revision of the basics before your final exam, this book works wonders! Trust me... I got a straight A (99% on my final) :) All in all, it's a good book!
A Versatile, Accessible Introduction.......2001-10-14
I came away very impressed from Dr. Brown's latest edition. The book is extremely readable but does not dumb down the material. I'm taking an upper-level molecular genetics lab and am doing independent work in genetics, and this book is a great reference. However, I think that this book would be pretty easy for someone with introductory level biology--heck, I think some AP Biology high school teachers may be able to use this text for their classes.
Brown takes you through all the basics of molecular genetics: from the basic mechanics of DNA manipulation to PCR, bacteriophages, and even a review of basic genomics and genomic analysis, which are still very new and rapidly evolving fields. Every chapter has references for more in-depth study. This is a great book to introduce you to modern molecular genetics.
Average customer rating:
- Interesting topics, insufficient depth
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Introduction to Molecular Biophysics (PURE AND APPLIED PHYSICS)
Jack Tuszynski
Manufacturer: CRC Press
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ASIN: 0849300398 |
Book Description
Molecular biophysics is a rapidly growing field of research that plays an important role in elucidating the mysteries of life's molecules and their assemblies, as well as the relationship between their structure and function. Introduction to Molecular Biophysics fills an existing gap in the literature on this subject by providing the reader with the modern theoretical tools needed to understand life processes from a physical viewpoint. The authors review numerous topics of relevance to biophysics, including peptide chains, DNA structure and function, cytoplasm, membranes, and motor proteins. Each chapter is richly illustrated and contains numerous examples, references, and problems that make this book useful as both an inclusive reference work and textbook.
Customer Reviews:
Interesting topics, insufficient depth.......2003-07-21
I am a cell biologist that was looking for a comprehensive biophysics resource. The description of the book and the table of contents gave me reason to hope that this was the book I was seeking. Unfortunately, despite the book's stated aim to foster dialogue between physicists and biologists, this book assumes far too much of its readers. There is no glossary. Several terms are introduced without being defined or illustrated. Some sections are extremely short, while others spend a considerable amount of time describing examples of questionable relevance to the stated topic. That said, I did find several passages of the book stimulating and thought provoking. I very much liked the description of dead cells being "at equilibrium." This book is appropriate for graduate students and higher. I don't think this book would be very useful as a course text.
Book Description
On 26 June 2000, the completion of the draft sequence of the Human Genome saw the sciences of biology and medicine change forever. It promised new insights into our genetic make-up, how our genes shape who we are, and how we function, and new possibilities for an improved quality of life, exploiting new knowledge to design novel, more effective drugs. At the heart of this breakthrough lies a scientific discipline which is now one of the most important information gathering, data-mining, and knowledge-building tools in current research and healthcare development: bioinformatics. Written by a pioneer of the use of bioinformatics in research, Introduction to Bioinformatics 2/e introduces the student to the power of bioinformatics as a set of scientific tools. The book explains how to access the data archives of genomes and proteins, and the kind 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. Retaining and enhancing the rich pedagogy and lucid presentation of the first edition, the book is accompanied by a fully integrated Online Resource Centre, encouraging students to explore the computational tools of bioinformatics in a relevant and stimulating way. Online Resource Centre - Figures from the book available to download, to facilitate lecture slide preparation - Web link library of all URLs cited in the book, and hyperlinks to a wide range of further reading articles, to give students ready access to these resources - Links to PDB structures of all proteins cited in the book, to enable students to investigate the 3D structures of proteins in a visual, interactive way - Data from the book in computer-readable form, which is available for instant use to facilitate hands-on learning by the student - Guidance to help students answer problems from the text, to support and encourage self-learning
Average customer rating:
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Genetics Notes: An Introduction to Genetics (8th Edition)
James F. Crow
Manufacturer: Benjamin Cummings
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ASIN: 0023258802 |
Book Description
This introductory text offers a clear exposition of the algorithmic principles driving advances in bioinformatics. Accessible to students in both biology and computer science, it strikes a unique balance between rigorous mathematics and practical techniques, emphasizing the ideas underlying algorithms rather than offering a collection of apparently unrelated problems.
The book introduces biological and algorithmic ideas together, linking issues in computer science to biology and thus capturing the interest of students in both subjects. It demonstrates that relatively few design techniques can be used to solve a large number of practical problems in biology, and presents this material intuitively.
An Introduction to Bioinformatics Algorithms is one of the first books on bioinformatics that can be used by students at an undergraduate level. It includes a dual table of contents, organized by algorithmic idea and biological idea; discussions of biologically relevant problems, including a detailed problem formulation and one or more solutions for each; and brief biographical sketches of leading figures in the field. These interesting vignettes offer students a glimpse of the inspirations and motivations for real work in bioinformatics, making the concepts presented in the text more concrete and the techniques more approachable.
PowerPoint presentations, practical bioinformatics problems, sample code, diagrams, demonstrations, and other materials can be found at the Author's website.
Customer Reviews:
Uma excelente introdução à bioinformática.......2007-08-04
Este livro é excelente por várias razões. Entre elas posso citar o fato de estar totalmente voltado ao aprendizado por exemplos, sempre de forma a relacionar um problema computacional com um problema em bioinformática. É um livro muito abrangente, cobre muito bem os tópicos relacionados a alinhamentos e comparações de sequências. Seu capítulo sobre Algoritmos com Grafos é o meu preferido. O autor consegue passar as noções fundamentais com muita simplicidade, de forma que qualquer pessoa possa aprender num ritmo bem rápido.
Excellent algorithms exercise & bioinformatics intro.......2005-09-25
This is the first book that I've read regarding bioinformatics, so Im updating this as my class moves along. You better have a grasp of basic data structures prior to beginning this book and background with a programming language as there is very little hand-holding in this text. A bio background makes it all more interesting but certainly is not critical. There are no sample code or sources printed with the book nor is there an included CD nor answers to exercises. There is an associated web site where some ideas may be had and errata found/reported, but its not very active that I have seen. The pseudo code in the book is very python-like so easy to make use of. I personally transfer the book's concepts to C/C++ (habit) without much problem, except sometimes my results differ from the book. Apparently these are book bugs, so be sure to check the web site out if unexpected things pop up.
Presently my class is in chapter 8 (of 12) and looking back I would like to caution that some data processing algorithms will drive a computer's CPU quite hard so be aware of battery-munching & heat. My only bones with this book so far are the alphabet soup of variables and lack of answers to exercises. It would be nice if variable definitions were refreshed at the beginning of pseudo code samples.
I like this book as an algorithms text over traditional texts because the applications are much more fascinating. Imagine searching for something and you don't know where that something is. On top of that add not even knowing exactly what it is you are looking for. And when you do find it, its not even in the data searched! This may sound unlikely or even impossible, but it is neither. Rather, its very cool.
4-stars
Should really be called Intro Data Structures and Algorithms.......2005-07-08
I knew most of the stuff before I opened the first page. It's basically teaching data structures 101 using a few watered down bioinformatic problems for motivation. The lack of applied problems involving real data was most disappointing. It does have a lot of the type questions that some nerd (me one day :P) might ask you on a job interview. The questions are also a good way to kill time if you have nothing better to do. I give the book credit for stressing dynamic programming. I believe that this is one of the most important concepts in problem solving.
3 stars because I think it is a fairly good introduction for fledgling computer scientists BUT not a good reference for comptuer scientists trying to apply their skills to solve bioinformatic problems.
A very good introduction!.......2004-12-13
This book gives a broad overview of algorithmic methods used in bioinformatics. It is well writen and the mathematics needed to understand is undergraduate level. Reading this book makes appetite to apply these methods to problems or to dig deeper in the corresponding method.
Overall, a very good book, and due to its introductory level, one can recommend to all people interested in bioinformatics from all disciplines.
The First Undergraduate Text.......2004-12-07
Bioinformatics is probably the fastest growing field in both biology and computer science. The problems have come from the computer science department and the biology department having such fundamentally different goals. The computer scientists see the computer as an end in itself with no real thought on trying to do something useful with it. The biologists see the computer as just another tool in their laboratory. And the biological problems are huge, massive computers like the new Cray's and large Linux clusters are being devoted to biological applications.
This book is intended to fit into the chasm between biology and computer science. It discusses computer the algorithmic principles in terms of practical techniques that make sense to the undergraduate biologist. The book is well suited for a first class for the budding bioinformaticist.
Each main chapter in the book first introduces an algorithm, then it discusses the biologically relevant problems that this algorithm addresses, it includes a detailed problem and one or more solutions. Finally the chapter concludes with brief biographical sketches of leading figures in the field.
This is the first book of its type, and it's likely to remain a classic in the field through many editions and many years.
Books:
- Invisible Gardens: The Search for Modernism in the American Landscape
- Island Hopping in Tasmania's Roaring Forties
- Limnology: Lake and River Ecosystems
- LOCOMOTION OF TISSUE CELLS
- Mitosis Cytokinesis (Cell Biology)
- Molecular Modeling and Simulation
- Mongolia in the 20th Century: Landlocked Cosmopolitan
- Natural Places of the Gulf Coast from Florida to Texas: A Traveler's Guide to the Culture, Spirit, and Ecology of Scenic Destinations (Bridges, Fraser. Natural Places.)
- Nature Nearby: An Outdoor Guide to 20 of America's Cities (Wiley Nature Editions)
- Noodle
Books Index
Books Home
Recommended Books
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- Presentations: A Passion for Gift Wrapping
- Ignorance and Liberty
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- I Can Read You Like a Book: How to Spot the Messages and Emotions People Are Really Sending With The
- Speak the Speech!: Shakespeare's Monologues Illuminated
- Metal Ions In Biological Systems, Volume 39: Molybdenum and Tungsten: Their Roles in Biological Proc
- Your Divorce Advisor : A Lawyer and a Psychologist GuideYou Through the Legal and Emotional Landscap
- If You're Clueless About Saving Money and Want to Know More
- The Ultimate Entrepreneur's Book: A Straight-Talking Guide to Business Success and Personal Riches