Customer Reviews:
Must have........2006-03-18
I'm taking genetics this semester and it's gotta be one of the hardest classes I've ever taken. The professor assigns us a lot of the problems out of the book, and I don't understand how to approach them all. The solutions manual shows some really good ways to approach genetics problems and has really helped me. I recommend it, though get it used from someone else if you can to save a few bucks. If you do the reading and work the problems and check your answers with the solutions manual, you'll understand genetics a lot better.
Intro to Genetics solutions manual.......2006-03-08
A good buy--it really goes into detail with hard problems and is quite helpful to have!
Genetic Analysis Solutions Manual review.......2006-02-22
The solutions manual is excellent. The Interactive CD that comes with it is one of the best I have ever used. I wish that more interactive genetics was contained on the CD or even possibly a tutorial of the information contained within the Genetics book.
A Great Safety Net for Understanding.......2006-02-20
This study guide works through each end-of-chapter question step by step and really helps to solve many complex problems associated with genetic analysis. Also the interactive CD Rom that accompanies the solutions manual is great for visusalizing complex processes.
Genetics = Cake?.......2006-02-18
It's not like I really really wanted my textbook (nobody wants to study that desperately). Thanks guys! Now I can start procrastinating without worrying about not having the book as backup the night before the test! Haha.
Actually, the structure of this textbook is very well organized. The example problems are thorough and the explanations are equally well-thought-out. Combined with a reasonable lecture/prof, I think the text material is very simple and appropriate- just enough pictures and diagrams to get you by at 3AM after a few eye-burning games of DDR or whatever.
Customer Reviews:
Not my favorite book!.......2007-08-07
I found this book to be confusing and hard to decipher at times!! I sometimes had to read the paragraph several times to get it and then I would find later in the book somewhere, what I was confused about was explained somewhat better. This book caused me to waste a lot of time trying figure out things. Perhaps better organization would be helpful. I wouldn't recomend this book.
very introductory.......2007-05-29
Covers the topics very basically. Good for an undergrad class but not anything more.
an introduction to gentics Analyis.......2007-04-14
The first time we recieved this book it was the answers to text questions only. The second time we did not order it but somehow by just looking at the web site it got orderd thus we had to return it cause we had already purchased it somewhere else.
Good.......2005-09-22
It was just as described, and I am happy with the item I got. Thanks a lot!
Ok Genetics Book.......2005-09-06
The questions in the back of each chapter are really helpful. Sometimes the chapter itself is a bit vague. The chapter describing bacteria genetics was done very poorly. Even my TA agreed that the way it's written is hard for beginners to understand.
Book Description
Known world-wide as the standard introductory text to this important and exciting area, the fifth edition of Gene Cloning and DNA Analysis addresses new and growing areas of research whilst retaining the philosophy of the previous editions. Assuming the reader has little prior knowledge of the subject, its importance, the principles of the techniques used and their applications are all carefully laid out, with over 250 clearly presented two-colour illustrations.In addition to a number of informative changes to the text throughout the book, the final four chapters have been significantly updated and extended to reflect the striking advances made in recent years in the applications of gene cloning and DNA analysis in biotechnology.
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.
Book Description
Significant advances in DNA analysis techniques have surfaced since the 1997 publication of the bestselling An Introduction to Forensic DNA Analysis. DNA typing has become increasingly automated and miniaturized. Also, with the advent of Short Tandem Repeat (STR) technology, even the most minute sample of degraded DNA can yield a profile, providing valuable case information. However, just as the judicial system slowly and reluctantly accepted RFLP and AmpliType® PM+DQA1 typing, it is now scrutinizing the admissibility of STRs. Acknowledging STR typing as the current system of choice, An Introduction to Forensic DNA Analysis, Second Edition translates new and established concepts into plain English so that laypeople can gain insight into how DNA analysis works, from sample collection to interpretation of results. In response to the shift toward more efficient techniques, the authors cover the legal admissibility of STR typing, expand the chapter on DNA databases, and revise the section on automated analysis. They also present key decisions and appellate or supreme court rulings that provide precedent at the state and federal levels. Discussing forensic DNA issues from both a scientific and a legal perspective, the authors of An Introduction to Forensic DNA Analysis, Second Edition present the material in a manner understandable by professionals in the legal system, law enforcement, and forensic science. They cover general principles in a clear fashion and include a glossary of terms and other useful appendices for easy reference.
Customer Reviews:
Good textbook for intro class.......2006-03-11
I suppose the most important question is why are you interested in this book. It would make a good textbook for an intro type class in this area or would be good for someone who doesn't know DNA analysis, but is involved in criminalistics. The level of detail is insufficient for anyone who actually understands the molecular approaches. It spends a fair bit of time talking about cases and HOW this particular approach was once useful. These are interesting little stories, but the book really didn't give me what I wanted. I have a background in molecular genetics and was interested in making a career shift to DNA forensics. There was little of value for me because it never really got to the details. I think it would be good for a class because it provides historical perspective on the now outdated techniques that would be important background for someone who never knew anything about the development of the previous techniques and only learned what is current today, but to someone who has that background...seemed like it just added a new chapter to an otherwise outdated book.
A great intro for the beginner.......2002-06-11
Having left behind my interest in genetics in order to pursue tax accountancy, I've always been fascinated by accounts of DNA typing. This book provides a wonderful introduction that is accessible to even the novice geneticist like myself. Much of the information Rudin and Inman give is quite practical; with some help from a friend who works in a medical lab I was able to set up my own electrophoresis gels and PCR. A word of caution to the amateur, however: make sure you practice before drawing any conclusions from the "evidence." My wife, Amy, wouldn't speak to me for a week after I claimed that a stain on our bed linen did not match my DNA. It turned out that she had spilled some ice cream.
vivid introduction to forensic genotyping techniques.......2001-02-08
Nice figures, photos, schemes, and U.S. tables; lively comparisons show that authors are good teachers. Though technical part of the book outdates fast necessarily (acronym SNP has not been coined in 1996 yet), it is a shame that an interpretation part of the book neglects the current knowledge. Bayes theorem is known since 1763 and, nevertheless, likelihood ratio is not even mentined in the book! Books of Evett and Weir or of Robertson and Vignaux cannot be substituted by this book.
A must-have for any DNA criminalist or criminal lawyer.......2000-07-06
I have a BS in genetics and biochemistry and am looking to enter into a forensics lab. This book is an EXCELLENT resource for an entry-level criminalist, criminal lawyer, or the non-scientist interested in this topic. It was organized from basic genetics to higher-level interpretation issues and included tons of diagrams, pictures, and relevant case studies. This book did an outstanding job explaining complicated and detailed subject matter in an easy to understand and interesting matter.
Attorney's Guide.......2000-02-08
As a practicing lawyer who earns a living in the criminal courts, I found this book an excellent and informative guide to this often problematic area. The authors introduce the subject in a way that is easy for the beginner to comprehend, but at the same time include sufficient detail to answer many of the most pressing problems facing a defence team in court.
Book Description
Computational Genome Analysis: An Introduction presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. The book is appropriate for a one-semester course for advanced undergraduate or beginning graduate students, and it can also introduce computational biology to computer scientists, mathematicians, or biologists who are extending their interests into this exciting field.
This book features:
Topics organized around biological problems, such as sequence alignment and assembly, DNA signals, analysis of gene expression, and human genetic variation
Presentation of fundamentals of probability, statistics, and algorithms
Implementation of computational methods with numerous examples based upon the R statistics package
Extensive descriptions and explanations to complement the analytical development
More than 100 illustrations and diagrams (some in color) to reinforce concepts and present key results from the primary literature
Exercises at the end of chapters
Michael S. Waterman is a University Professor, a USC Associates Chair in Natural Sciences, and Professor of Biological Sciences, Computer Science, and Mathematics at the University of Southern California. A member of the National Academy of Sciences and the American Academy of Arts and Sciences, Professor Waterman is Founding Editor and Co-Editor in Chief of the Journal of Computational Biology. His research has focused on computational analysis of molecular sequence data. His best-known work is the co-development of the local alignment Smith-Waterman algorithm, which has become the foundational tool for database search methods. His interests have also encompassed physical mapping, as exemplified by the Lander-Waterman formulas, and genome sequence assembly using an Eulerian path method.
Simon Tavaré holds the George and Louise Kawamoto Chair in Biological Sciences and is a Professor of Biological Sciences, Mathematics, and Preventive Medicine at the University of Southern California. Professor Tavaré's research lies at the interface between statistics and biology, specifically focusing on problems arising in molecular biology, human genetics, population genetics, molecular evolution, and bioinformatics. His statistical interests focus on stochastic computation. Among the applications are linkage disequilibrium mapping, stem cell evolution, and inference in the fossil record. Dr. Tavaré is also a professor in the Department of Oncology at the University of Cambridge, England, where his group concentrates on cancer genomics.
Richard C. Deonier is Professor Emeritus in the Molecular and Computational Biology Section of the Department of Biological Sciences at the University of Southern California. Originally trained as a physical biochemist, His major research has been in areas of molecular genetics, with particular interests in physical methods for gene mapping, bacterial transposable elements, and conjugative plasmids. During 30 years of active teaching, he has taught chemistry, biology, and computational biology at both the undergraduate and graduate levels.
Customer Reviews:
"Computational genome analysis: An Introduction" Deonier R., Tavare S., Waterman M. Springer-Verlag New York, Inc., Secaucus, NJ.......2006-07-08
This textbook was based on the authors' instructional experiences in undergraduate Computational Biology courses for Bachelor seniors, first-year Master's, and Ph.D. students at the University of Southern California. Readers could also include investigators in medical schools, computer scientists, biologists, applied mathematicians, biochemists, and persons working in the biotechnology industry.
This text is based on the classic man-machine-work model in which a human performs laboratory-level work while also interacting with a digital computer. The complete inventory of all DNA that determines the identity of an organism is known as the genome. The computer or 'machine' utilizes the R language and produces statistical solutions dealing with genomes. The objects analyzed fall into these categories: the basic unit of life or the cell; the chemical energy stored in ATP (Adenosine triphosphate), the genetic information encoded by DNA (Deoxyribonucleic Acid) , and that information transcribed into RNA (Ribonucleic Acid). Since all life on the planet is based on cells, except for viruses, one can see why this volume is an important contribution to the scientific knowledge base particularly with reference to the evolution of species.
The R language developed at Bell Laboratories is used throughout the text. R is a probability statistics environment available for free download and can be used with Windows, Macintosh, and Linux operating systems. It functions very much like the S-PLUS statistics package. Since the reader would need to know how to actually implement the concepts in computational biology to fully understand them, the authors include examples of computations using R. This volume is described as a "roll up your sleeves and get dirty" introduction to the computational side of genomics and bioinformatics. It is intended to provide a foundation for an intelligent application of the available computational tools and for intellectual growth as new experimental approaches lead to new computational tools.
One must accept the fact that analyzing cells, DNA, and RNA is based on probability statistics. The text utilizes 1% algebra, 1 % integral calculus and 98% probability statistics --- the 98% being processed in R language. It isn't intended to describe the laboratory processes and protocols used to manipulate the samples but it does directly connect the computer solutions to the laboratory or work activity. Each chapter ends with a number of problems; while this is typical of the classical textbook, it would have been helpful if a teacher's answer book had been appended.
The Chapter headings are: Biology in a Nutshell; Words, Word Distributions and Occurences; Physical Mapping of DNA; Genome Rearrangements; Sequence Alignment; Rapid Alignment Methods: FASTA and BLAST; DNA Sequence Assembly; Signals in DNA; Similarity, Distance, and Clustering; Measuring Expression of Genome Information; Inferring the Past: Phylogenetic Trees; Genetic Variation in Populations; Comparative Geonomics; Glossary; A Brief Introduction to R; Internet Bioinformatics Resources; Miscellaneous Data.
Leonard C. Silvern
Systems Engineering Laboratories
Clarkdale, AZ
Customer Reviews:
brand new.......2005-09-12
book was sent in a slower fashion, but still got it before it was absolutely needed. thank you
Book Description
Advances in technology have enabled the collection of data from scientific observations, simulations, and experiments at an ever-increasing pace. For the scientist and engineer to benefit from these enhanced data collecting capabilities, it is becoming clear that semi-automated data analysis techniques must be applied to find the useful information in the data. Computational scientific discovery methods can be used to this end: they focus on applying computational methods to automate scientific activities, such as finding laws from observational data. In contrast to mining scientific data, which focuses on building highly predictive models, computational scientific discovery puts a strong emphasis on discovering knowledge represented in formalisms used by scientists and engineers, such as numeric equations and reaction pathways.
This state-of-the-art survey provides an introduction to computational approaches to the discovery of scientific knowledge and gives an overview of recent advances in this area, including techniques and applications in environmental and life sciences. The 15 articles presented are partly inspired by the contributions of the International Symposium on Computational Discovery of Communicable Knowledge, held in Stanford, CA, USA in March 2001. More representative coverage of recent research in computational scientific discovery is achieved by a significant number of additional invited contributions.
Books:
- Microarray Gene Expression Data Analysis: A Beginner's Guide
- Microarray Gene Expression Data Analysis: A Beginner's Guide
- Molecular Biology of the Cell, Fourth Edition
- Molecular Biology of the Cell, Fourth Edition: A Problems Approach
- Molecular Biology of the Cell, Fourth Edition
- Nature Form & Spirit: The Life and Legacy of George Nakashima
- Profit for Life: How Capitalism Excels
- Psychoanalytic Diagnosis: Understanding Personality Structure in the Clinical Process
- Psychology and Alchemy (Collected Works of C.G. Jung, Volume 12)
- Psychology of the Future: Lessons from Modern Consciousness Research (Suny Series in Transpersonal and Humanistic Psychology)
Books Index
Books Home
Recommended Books
- History: Fiction or Science
- A Gentleman By Any Other Name
- The Frozen Toe Guide to Real Alaskan Livin': Learn How to Survive Moose Attacks, Endless Winters, an
- The Chemistry of Physics and Coatings
- The Writings of Florence Scovel Shinn: The Game of Life and How to Play It, Your Word Is Your Wand,t
- American Country Building Design: Rediscovered Plans for 19th-Century Farmhouses, Cottages, Landscap
- Vintage Murder
- Classic Architectural Birdhouses and Feeders
- The Modernist City: An Anthropological Critique of Brasilia
- Expression of the Alpha-2-Macroglobulin Receptor System and the Amyloid Precursor Protein Family in
General
| Biology
| Biological Sciences
| Science
| Subjects
| Books
Introduction to Genetic Analysis
Schaum's Outline Of Genetics
Essential Cell Biology, Second Edition
Introduction to Genetic Analysis Solutions MegaManual
Organic Chemistry and CW+ GradeTracker Access Card Package (6th Edition)
