Genetics: Analysis of Genes and Genomes

Book Description

Genetics: Analysis of Genes and Genomes, Sixth Edition by Hartl and Jones presents the modern world of genetics; treating classical, molecular, and population genetics as unified subdisciplines in a field that, even in our post-genomic era, still goes by the name "genetics." This approach to teaching genetics is a logical progression in a time when the various subdisciplines of genetics are so closely interwoven.

Written by two renowned authorities in the field, Genetics, Sixth Edition provides the most current, clear, comprehensive, and balanced introduction to genetics and genomics at the college level. It treats transmission genetics, molecular genetics, and evolutionary genetics as fully integrated subjects, and provides students with an unprecedented understanding of the basic processes of gene transmission, mutation, expression, and regulation. The text also explores the connections between modern and historical experimental methods used by geneticists, and offers valuable insight into the important historical and social context of genetics and genomics.

Customer Reviews:

Horrible Book.......2006-05-24

Absolutely horrible book. Chapters are written very poorly. They don't follow a pattern, but if I had to say there were one it would be tell you the big picture first so you have no idea what they're talking about then go into detail about each of the units and then after you've read the whole chapter you find it useful to reread the beginning again because you now know what the authors are talking about. Inconsistent use of vocabulary as well, they talk in colloquial terms and then all of the sudden use the word 'nascent' for instance, then you never see the word again. Nothing wrong with such things but the lack of consistency in the book makes it extremely poor in my opinion. Very poorly written, the information is there but organization is pathetic

BEAUTIFUL DESCRIPTION ABOUT GENES AND GENOMES ! SUPERB.......2004-10-23

GOOD PICTURE REPRESENTATION WITH EXCELLENT NOTES AND LOTS OF EXTRA INFORMATION ABOUT GENE AND GENOMES . PROBLEMS HAVE SOME ERRORS ITS LITTLE CONFUSING BUT OVERALL A FABALOUS TEXT BOOK OF GENETICS. GOOD FOR STANDARD EXAM PREPARATIONS AND ALSO FOR UNDERGRAD/GRAD STUDENTS . ALL THE BEST CHECK FOR FOR MINNOR ERRORS IN THE TEXT .... TAKE THE BEST OUT OF IT .....

Average customer rating:

Narrow and shallow
Short but helpful

Mathematics of Genome Analysis
Jerome K. Percus
Manufacturer: Cambridge University Press
ProductGroup: Book
Binding: Paperback

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ASIN: 0521585260

Book Description

The massive research effort known as the Human Genome Project is an attempt to record the sequence of the three trillion nucleotides that make up the human genome and to identify individual genes within this sequence. The description and classification of sequences is heavily dependent on mathematical and statistical models. This short textbook presents a brief description of several ways in which mathematics and statistics are being used in genome analysis and sequencing.

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Customer Reviews:

Narrow and shallow.......2003-10-10

Genome analysis is a huge field - any title that promises to address it all has taken on a huge task.

This brief book does not deliver on the title's promise. It provides a cursory introduction to the assembly problem. That intro is so brief, however, that I don't think a reader will come away understanding what genome assembly is really about.

It continues with a disappointing analysis of nucleotide frequencies. The probability analysis is competent enough, within its limits, but I don't see any mention of why the analysis is interesting, or how to extend it the same techniques proteins. The author proposes spectral analysis as a tool, and argues for Walsh vectors as basis functions. Spectral analysis is offbeat, to say the least, but the author does not explain what (if any) biological insight the technique generates. More mainstream tools, including Markov Models, get little or no mention.

The chapter on sequence comparison is so short and skips so much critical material, that I'm tempted to call it negligent.

Perhaps you have specific reason for wanting the narrow and idiosyncratic view that Percus brings. ...

Short but helpful.......2002-01-02

This book is a short overview of some of the important mathematical techniques used to study genome sequences. In spite of the length of the book, the author does a fine job of introducing these techniques. Students of computational biology will especially benefit from its perusal.

The first section is a brief overview of the structure of DNA, m-RNA, and t-RNA. Recognizing that DNA is two large for direct analysis, restriction fragments are discussed in the second section, with emphasis on the restriction-enzyme fingerprint. The author's goal is to find the probability of occurences of a 6-letter word in a strand and the mean distance between occurrences of this word (assuming no overlap between the words or the occurences and equal probabilities for the bases). The effect of successive pair correlation (Markov chain effect) is considered briefly. This is followed by a calculation of the probability that a base pair is contained in a given clone. The author omits any discussion of algorithms for optical mapping, but does give a brief discussion of restriction maps.

The mathematics becomes more rigorous in chapter two, wherein the author analyzes a chain that exists as a set of cloned subchains with unknown overlap. This is the 'fingerprint assembly' problem the object of which is to produce a physical map of the full sequence. The fingerprint of the clone is a collection of lengths of a particular restriction fragments. This algorithm involves a sequence of contiguous clones called 'islands'; and 'contigs', which are two or more clones. The average number and size of islands are calculated assuming that the clones have equal length and identical overlap threshold. The method of anchoring is also discussed as a second method for obtaining the physical map of the genome. The author then considers the problem of covering the whole sequence by first placing n markers on a genome and covering by intervals centered at these markers. This is the restriction-fragment-length polymorphism analysis, the combinatorics of which the author solves by using Laplace and Fourier transforms. He also considers adaptive and non-adaptive pooling, in order to find a particular set of proteins on a large fragment.

The third chapter addresses sequence statistics, with the author addressing the nonhomogeneity of sequences and the correlation dependence in the bases. The chi-square test is discussed is some detail and the author discusses the accuracy of the Markov chain assumption. Noting that very long chains would be needed to determine the parameters for the expressions for the conditional correlations, he uses the maximum likelihood method to find the intrinsic correlation length, and then estimates the parameters by modeling the parameter set.

The author then studies the isochore regions and discusses their detection via the Jensen-Shannon entropy. Asking whether there are correlations between these long regions and within them motivates him to consider the long-range properties of DNA. This leads to the examination of a long fragment of a single strand of DNA, and with the assumption that strand-symmetry holds, the correlation coefficients are studied, with the decay properties of the auto- and cross-correlation discussed. Then, distinguishing only dual pairs, the author considers the probability that a pair is separated by an integer after an integral number of steps, a calculation that reduces to finding the largest eigenvalue of a 'transfer matrix', a procedure well-known in statistical physics.

Next, a consideration of simple sequence repeats leads to a difference equation that is solved by the method of moments. Windows of bases are then discussed, in order to improve on the statistics. Correlations within and between windows are calculated. Interestingly, the consideration of long-range correlations gives a power-law dependence for the correlations, which is related to the Hurst index for self-similar patterns. Readers get their first taste of hidden Markov models in this chapter, which are currently very popular in sequence analysis. Even more interesting is the discussion of walking Markov models, wherein a first-order base-to-base Markov chain is chosen to depend on a hidden parameter, and the time evolution is shown to satisfy a Fokker-Planck (diffusion) equation. Spectral analysis and information theoretic criteria are also discussed.

In the next chapter of the book, the author considers the most important part of sequence analysis, namely the comparison between sequences according to their linear ordering. The problem is to find the probability of a common subsequence of two linear chains with a given length. The first calculation assumes that the matches are mutually exclusive, and the result is an upper bound on the probability. The author then considers the matches to be independent events, and again bounds are given for the probability, the so-called Chen-Stein estimate). He also gives an estimate of the probability in terms of an asymptotic series. Extreme value methods are then used to calculate the expectation value and the variance of the length of the longest match. An interesting exercise is assigned for the reader; namely of finding the effect on the Fourier and Walsh power spectrum with the assumption that the base correlations are fractal in form. The alignment problem is then generalized to include replication errors, mutations, etc. The chapter ends, appropriately, with a discussion of multisequence comparison. The author poses the problem as one of finding the best match of a word to an n-tuple of words, which he tackles first using 'information content'. The category analysis of separating subsequence configurations into clusters is briefly discussed via simulated annealing, discriminant analysis, Bayesian analysis, and neural networks.

Book Description

Targeted at beginners as well as experienced users, this handy reference explains the benefits and uses of flow cytometery in the study of plants and their genomes. Following a brief introduction that highlights general considerations when analyzing plant cells by flow cytometric methods, the book goes on to discuss examples of application in plant genetics, genomic analysis, cell cycle analysis, marine organism analysis and breeding studies.
With its list of general reading and a glossary of terms, this first reference on FCM in plants fills a real gap by providing first-hand practical hints for the growing community of plant geneticists.

Modern Genetic Analysis: Integrating Genes and Genomes

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1st_time_genetic_student
Another winner for Anthony Griffiths.
An incredible job

Modern Genetic Analysis: Integrating Genes and Genomes
Anthony J.F. Griffiths , William M. Gelbart , Richard C. Lewontin , and Jeffrey H. Miller
Manufacturer: W. H. Freeman
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Binding: Hardcover

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ASIN: 0716743825

Customer Reviews:

1st_time_genetic_student.......2007-03-22

This book is extremely difficult for people who are first being introduced to genetics to understand. Since it is being used in beginning genetics courses, this is disturbing. Perhaps if you already have an understanding of the basic concepts of genetics this would be a more useful book.
New terms are not always adequately defined. Often is seems as if the authors prefer to use confusing English games to explain concepts rather than explain information in a straightforward manner. An example would be page 7 when they are trying to explain the difference between "discontinuous" and "continuous" phenotypic variations. Rather that introduce one concept and explain it and then introduce the second concept, they introduce both concepts and then name both of them in a manner such that it is not clear which concept is which without rereading the paragraph several times.
Also, one wonders how current the information provided in this book is. The introduction to chapter 9 refers to an ongoing betting pool concerning the total number of protein-coding genes in the human genome. It tells that the prize for guessing correctly will be awarded in 2003 and talks about the contest in the present and future tense as if it is ongoing and the winner has yet to be announced. It even refers readers to a website to see the contest rules. This is 2007!!! The contest is OVER! The website it refers to is no longer a valid URL! If this little piece of information is so out of date, what else in the book is out of date (and possibly incorrect).
I wish I could say the website associated with the book is useful. Sadly, it does nothing to redeem the book. The animations are somewhat useful. It offers some additional problems, but not near enough. The tutorials it offers for using the NCBI database are often out of date.
The only redeeming factors this book has is that the introductions often talk about interesting problems in genetics. These are followed up with more information about the problem at the end of the chapter. Also, the problem sets with each chapter are good. However, there is not always enough information in the reading to be able to figure out the problem. Fortunately, there is a solutions manual available for this book that is very useful.
Since this book is most likely a required textbook, most people who are buying it do not have a choice. However, it would be nice to see schools pick a book that better explained genetic concepts than this one does. Genetics is a fascinating subject, but the difficulty of reading this book does nothing to encourage the student to pursue further studies in genetics.

Another winner for Anthony Griffiths........2003-03-22

Anthony Griffiths is the principle author of both 'An Introduction to Genetic Analysis' and 'Modern Genetic Analysis.' The former book is in its sixth edition, while the later is in it's second. I highly recommend both textbooks as the best teaching texts I have ever come across. Personally however, I prefer using 'Modern Genetic Analysis' because it is easier to understand, and less frustrating and confusing for students. The 'Introduction to Genetic Analysis' textbook is larger, more annotated, and has more difficult problems. The 'Modern Genetic Analysis' textbook provides a better basic framework on which to build an understanding of genetics, without going into too many unnecessary details that (in my opinion) only confuse students new to the subject.

The second edition of 'Modern Genetic Analysis' is very similar to the first edition, and only about ten percent of the material (at most) has been changed. Most of the problem sets are the same, but have been renumbered. This is actually a teaching advantage because it gives students the option of buying used copies of the first edition rather than new copies of the second.

One major improvement in the second edition, however, is the addition of internet-based genetics tutorials. Students are directed to the various public genome databases on the internet, used by real researchers, and are given practice assignments to do. They are shown how to conduct gene and protein homology searches, how to find open reading frames, and how to access other forms of information from the various public domain databases on the internet. Since internet databases have now become one of the most important tools available to geneticists these tutorials are a welcome addition to this textbook. I highly recommend it.

Greg Doheny (Vancouver, Canada)

An incredible job.......2002-11-18

In the last few years several very good textbooks and monographs in genetics have appeared, due mainly to the success of various genome projects and also to the rise of bioinformatics as a new discipline in biology, computer science, and mathematics. Most of these textbooks have appeared in many prior editions, and comparing these older editions with the newest ones, one can indeed see a remarkable difference in enthusiasm in the authors. They are clearly very excited about the developments in molecular biology and genetics that have taken place and the confidence among biologists that the fundamental understanding of life is finally within reach. Readers can share their excitement by the study of these books, and doing so one cannot help but be marveled by the incredible ingenuity of the scientific methods used to unravel the processes of life.

Of all these excellent books, I find this one to be the best, and my judgment of the book's quality is from the standpoint of someone who is very involved in the algorithms behind bioinformatics and mathematical biology and is attempting to gain, as quickly as possible, the necessary background in genetics. My review therefore will be primarily addressed to those mathematicians or even physicists who plan on moving into bioinformatics.

To relative newcomers to genetics such as myself, the learning of molecular biology and genetics can involve a huge amount of memory work. To the more mathematically-inclined reader, the memorization of facts can be most unpalatable. The learning of the material in this book will also involve such extreme exercises in memory, but there are a few strategies that the authors employ that, even though they were directed at a general readership, actually serve to make the learning much easier for the mathematician or mathematical biologist. These are the use of concept maps and the assigning of "challenging problems" at the end of most chapters in the book. These serve effectively to make the reader think through and interconnect the many concepts, which for the mathematician who is used to the economy of thought that mathematics brings, is an absolute necessity for the learning experience. Also, the authors are well aware of the need for students to learn how to analyze data and interact with online databases, so a lot of the material in the book is written to address this need.

Even from merely an aesthetic point of view the book is exceptional, as the soft colors used in the illustrations are very beautiful, and actually serve to make the learning of the material very pleasureful. And in addition, the reader can access the book's Website and follow the many animations that were put together for the book. And here again, the playing of these animations increase the speed in which one can learn the subject.

The authors also ask the readers to consider the impact that biotechnology and genetic engineering will have in the upcoming decades. One of the most dramatic, and I think the most important paragraphs in the book is the one in which the authors state that "the public cannot relay on reports published in the general media for the kind of critical evaluation needed to make informed personal and political decisions. Nor can it be left to experts, who have their own biases and agendas. There is no substitute for acquiring the kind of basic knowledge of genetics that is essential to all informed decisions." Their goal is provide the background that will allow the reader to differentiate between bad and good claims about genetics, and to think critically about both the negative and positive aspects of genetic research and genetic engineering.

Customer Reviews:

Genetics.......2007-10-01

This book takes a while to get to the point and has a tendency to repeat itself. Aside from all the digressions and redundancy, not a bad read.

Very good introduction to genetics.......2001-10-31

I'm very impressed with the excercises in the end of every chapter. The excercises are fun and not too difficult.
The material is very well illustrated. Again, good work .

The first genetics text with a "DNA-first" approach.......2001-03-11

Genetics has traditionally been taught with the topics in historical order, starting with Mendel and only later reaching molecular genetics. However, it is much more logical to explain Mendelian genetics in the context of molecular genetics. (No other science abandons a logical building-up of concepts in return for historical chronology!) Griffiths and colleagues are the first to write a text with this preferable and long-overdue approach. Their overall organization is the best that I've seen. While many of the chapters are very well written, there are some parts of the book that are substandard and hopelessly jumbled, such as the chapter on mutational mechanisms and DNA repair. As this is a first edition, I am optimistic that these problems will be ironed out in the second edition. Another criticism is that the figures are adequate but not outstanding; the artists should take lessons from their colleagues who worked on Genetics: From Genes to Genomes by Hartwell and colleagues. Despite its drawbacks, I prefer this text to others that are available.

Uncoordinated Mishmash.......2000-02-21

This textbook is a mess! Certain sections such as those that deal with classical transmission genetics are reasonably good. On the other hand, those sections that deal with recombinant DNA/genomic technology and the molecular basis of cancer are very weak. The writing in these sections is convoluted, and the level of coverage fluctuates wildly between oversimplification and mind-numbing detail. The book does not seem to have a clear target audience in mind, and the authors appear to have not spoken with each other during the writing. Considering the relative strengths of their earlier text, "Introduction to Genetic Analysis," this new effort is all the more disappointing.

Definitely readable, but not much depth.......2000-02-09

The text is certainly reader-friendly...good layout, font, and spacing (very important 3am in the morning when you're cramming) and very good figures. However, its very readability seems to stem from its lack of content; the genetics text that I had used in high school seemed to have more detail than this one, which is generally used as a college textbook. A very basic textbook for an introductory genetics class, nothing more.

Average customer rating:

Does its job well

Analysis of Genes and Genomes
Richard J. Reece
Manufacturer: Wiley
ProductGroup: Book
Binding: Paperback

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ASIN: 0470843802

Book Description

This beautifully illustrated textbook provides a clear guide to the tools and techniques of genetic engineering, gene cloning and molecular biology. All aspects of genetic engineering in the post-genomic era are covered, beginning with the basics of DNA structure and DNA metabolism. Using an example-driven approach, the fundamentals of creating mutations in DNA, cloning in bacteria, yeast, plants and animals are all clearly presented.

Strong emphasis is placed on the latest, post genomic technologies including DNA macro and microarrays, genome-wide two hybrid analysis, proteomics and bioinformatics.

A modern post-genome era introduction to key techniques used in genetic engineering.
An example driven past-to-present approach to allow the experiments of today to be placed in an historical context
The book is beautifully illustrated in full-colour throughout.
Associated website including updates, additional content and illusions

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"This beautifully illustrated textbook provides a clear guide to the tools and techniques of genetic engineering, gene cloning and molecular biology. All aspects of genetic engineering in the post-genomic era are covered, beginning with the basics of DNA structure and DNA metabolism. Using an example-driven approach, the fundamentals of creating mutations in DNA, cloning in bacteria, yeast, plants and animals are all clearly presented.

Strong emphasis is placed on the latest, post genomic technologies including DNA macro and microarrays, genome-wide two hybrid analysis, proteomics and bioinformatics.

A modern post-genome era introduction to key techniques used in genetic engineering.
An example driven past-to-present approach to allow the experiments of today to be placed in an historical context
The book is beautifully illustrated in full-colour throughout.
Associated website including updates, additional content and illusions

Customer Reviews:

Does its job well.......2005-01-14

The twenty-first century has rightfully been called the "age of biology", and draws on the laboratory techniques developed in the last half of the twentieth century. The advent of commercial products, medicines, and foodstuffs using the techniques of genetic engineering has resulted in an explosion of books and monographs that attempt, and usually succeed, in explaining these techniques to students and also to those curious about them. Compared to most of these books, this one gives a fairly rapid overview of the subject of genetic analysis and genetic engineering, but one can still gain a deep appreciation of the subject by its study. Many useful diagrams appear in the book, and the author gives useful summaries at the beginning of each chapter. This reviewer only read the last three chapters of the book, so this review will be confined to these.

The genetic engineering of plants is covered in chapter 11 of this book. This has become a very contentious topic of late, due to the perceived dangers of genetically modified crops. The author recommends, rightfully, that the potentially adverse side effects of these crops should be studied via careful experimentation. Genetically modified crops have been a contentious issue in the last few years, and the debate concerning their use and consumption has reached a level of vitriol that goes beyond all measurable bounds. This chapter puts the subject on a clear scientific foundation and readers who are interested in genuine scientific understanding of the genetic engineering of plants will benefit greatly from its perusal.

Why is it so difficult to get a foreign gene to be expressed in a mammalian cell in which it is inserted? This question is of great interest in biotechnology and is discussed in chapter 12 of the book. Another one of the more interesting topics in this chapter regards the existence of `immortalized' cells, which continue to divide even after being cultured. Two examples are mentioned, the HeLa cells derived from a woman who died of cervical cancer in 1951, and Chinese hamster ovary cells. Programmed cell death or `apoptosis' has been the subject of intense research in recent years, due to its importance in the curing of cancer. The author emphasizes the extreme difficulties involved in obtaining stable transfection in animal cell lines, and discusses several methods to make it more efficient.

The author continues the discussion of the genetic engineering of animals in chapter 13, after first reviewing some elementary embryology. This chapter is of particular interest to those readers who are interested in understanding the science behind stem cell research. First discussed is the production of transgenic animals using pronuclear injection. The author points out some of the consequences of this technique brought out by experiments with laboratory mice. One of these is the high concentration of growth hormone mRNA in their livers and growth hormone in their serum, resulting in mice of considerable larger size than their non-transgenic counterparts. The author lists some of the disadvantages in the technique, such as its inability to do gene knock-out, the difficulty in controlling the expression of the transgene, the fact that the expression of the transgene is not strictly inherited, and the occasional creation of a "mosaic" animal, where the transgene only occurs in certain organs and tissues of the animal. The creation of mosaic animals has resulted in patentable technology in recent years, so this technique, in various guises, does have practical applications.

Embryonic stem cells, defined by the author as being undifferentiated cells that are isolated from the inner cell mass of a blastocyst, are discussed next. Interestingly, embryonic stem cells can be maintained in culture indefinitely via cell divisions, and will remain undifferentiated as long as they grown at large distances from each other. The main advantage in using embryonic stem cells, according to the author, lies in their efficiency in homologous recombination. He points out though that non-homologous recombination does still occur, and to distinguish between cells that have integrated the DNA fragment homologously and those that have done so non-homologously, use is made of `ganciclovir', which after phosphorylation will result in inhibition of DNA polymerase activity. Cells that have undergone homologous integration will survive the ganciclovir treatment.

The author uses this discussion to motivate the concept of knock out genes, which he considers of extreme importance not only to the understanding of biology but also to the analysis of human disease. There are three classes of knock-outs depending on whether they are lethal to the organism, or either change its phenotype or not. The author also discusses the existence of `conditional' knock-outs, where there is no observable phenotype but arise when genes are acting in parallel pathways and consequently compensate for each other's functions. He also points out that knockout experiments take a considerable amount of time and are very expensive, but this will no doubt change in the upcoming years.

Nuclear transfer, certainly the most well known of the techniques in genetic engineering, is also discussed in this chapter. The cloning of mammals, via the transfer of cells from an embryo and fusing them with enucleated eggs, such as was done with sheep, is discussed in fair detail. The author points out the difficulties in producing viable offspring using nuclear transfer from differentiated adult cells. These include the inefficiency of the technique, abnormal offspring, telomere shortening and consequent shortening of life spans. Although cloning of other farm and domestic has been done successfully, the author exhibits justified caution in the cloning of human beings. However, if and when cloning can be shown to be a viable and safe technique for human asexual reproduction, it should definitely be an option for those individuals who have chosen it as their best method for reproduction.

Genetic and Physical Mapping (Genome Analysis) (Genome Analysis)

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Genetic and Physical Mapping (Genome Analysis) (Genome Analysis)
Kay E. Davies
Manufacturer: Cold Spring Harbor Laboratory Press
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ASIN: 0879693584

Advances in Bioinformatics and Computational Biology: Second Brazilian Symposium on Bioinformatics, BSB 2007, Angra dos Reis, Brazil, August 29-31, 2007, ... (Lecture Notes in Computer Science)

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Advances in Bioinformatics and Computational Biology: Second Brazilian Symposium on Bioinformatics, BSB 2007, Angra dos Reis, Brazil, August 29-31, 2007, ... (Lecture Notes in Computer Science)

Manufacturer: Springer
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Book Description

This book constitutes the refereed proceedings of the Second Brazilian Symposium on Bioinformatics, BSB 2007, held in Angra dos Reis, Brazil, in August 2007; co-located with IWGD 2007, the International Workshop on Genomic Databases.

The 13 revised full papers and 6 revised extended abstracts were carefully reviewed and selected from 60 submissions. The papers address a broad range of current topics in computationl biology and bioinformatics featuring original research in computer science, mathematics and statistics as well as in molecular biology, biochemistry, genetics, medicine, microbiology and other life sciences.

Algorithms in Bioinformatics: 7th International Workshop, WABI 2007, Philadelphia, PA, USA, September 8-9, 2007, Proceedings (Lecture Notes in Computer Science)

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Algorithms in Bioinformatics: 7th International Workshop, WABI 2007, Philadelphia, PA, USA, September 8-9, 2007, Proceedings (Lecture Notes in Computer Science)

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This book constitutes the refereed proceedings of the 7th International Workshop on Algorithms in Bioinformatics, WABI 2007, held in Philadelphia, PA, USA in September 2007.

The 38 revised full papers presented together with the abstract of a keynote talk were carefully reviewed and selected from 133 submissions. All current issues of algorithms in bioinformatics are addressed, ranging from mathematical tools to experimental studies of approximation algorithms and reports on significant computational analyses. Numerous biological problems are dealt with, including genetic mapping, sequence alignment and sequence analysis, phylogeny, comparative genomics, and protein structure. Furthermore the papers feature high-performance computing approaches to computationally hard learning and optimization problems in bioinformatics and cover methods, software and dataset repositories for development and testing of such algorithms and their underlying models.

Algorithms in Bioinformatics: First International Workshop, WABI 2001, Aarhus, Denmark, August 28-31, 2001, Proceedings (Lecture Notes in Computer Science)

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Algorithms in Bioinformatics: First International Workshop, WABI 2001, Aarhus, Denmark, August 28-31, 2001, Proceedings (Lecture Notes in Computer Science)

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ASIN: 3540425160

Book Description

This book constitutes the refereed proceedings of the First International Workshop on Algorithms in Bioinformatics, WABI 2001, held in Aarhus, Denmark, in August 2001.The 23 revised full papers presented were carefully reviewed and selected from more than 50 submissions. Among the issues addressed are exact and approximate algorithms for genomics, sequence analysis, gene and signal recognition, alignment, molecular evolution, structure determination or prediction, gene expression and gene networks, proteomics, functional genomics, and drug design; methodological topics from algorithmics; high-performance approaches to hard computational problems in bioinformatics.

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