A TRULY GROUNDBREAKING VOLUME, THE HANDBOOK OF STATISTICAL GENETICS IS A TIMELY, INFORMATIVE AND HIGHLY ACCESSIBLE REFERENCE FOR BOTH STATISTICIANS INTERESTED IN GENETICAL APPLICATIONS AND GENETICISTS SEEKING A DEEPER UNDERSTANDING OF STATISTICAL METHODS IN THEIR FIELD. IT IS DIVIDED INTO SIX MAIN SECTIONS, ENCOMPASSING THE ENTIRE FIELD OF STATISTICS IN GENETICS:? BIOINFORMATICS? POPULATION GENETICS? EVOLUTIONARY GENETICS? GENETIC EPIDEMIOLOGY? PLANT AND ANIMAL GENETICS? APPLICATIONSAS THE HUMAN GENOME PROJECT (HGP) REACHES ITS CLIMAX, WITH THE COMPLETE SEQUENCE OF MANKIND, SCIENCE IS FAST APPROACHING AN EXCITING NEW STAGE IN ITS ABILITY TO UNDERSTAND GENETIC FORCES IN MAN.IN PARALLEL TO THE HGP ARE MAJOR SEQUENCING EFFORTS IN OTHER ORGANISMS, ENABLING US TO UNDERSTAND BROADER QUESTIONS IN EVOLUTION AND CLASSIFICATION. THIS EXPLOSION OF DATA HAS LED TO AN INCREASED NEED FOR SOPHISTICATED STATISTICAL, MATHEMATICAL AND COMPUTATIONAL TOOLS TO ENABLE COMPLEX DATA COLLECTION, ANALYSIS AND INTERPRETATION OF THE RESULTS.? COMPREHENSIVE COVERAGE OF THE MOST PRESSING STATISTICAL ISSUES IN GENETICS.? OFFERS A LUCID INTRODUCTION TO NEWCOMERS, AS WELL AS PROVIDING INVALUABLE INFORMATION FOR MORE EXPERIENCED RESEARCHERS.? EACH CHAPTER IS WRITTEN BY A LEADING INTERNATIONAL AUTHORITY FROM THE FIELD.? COMPLEMENTED BY NUMEROUS EXAMPLES, CASE STUDIES, AND REFERENCES TO USEFUL RESOURCES ON THE WEB.THIS AUTHORITATIVE REFERENCE WILL BE IDEAL FOR BOTH STUDENTS AND RESEARCHERS WORKING IN GENETICS, INCLUDING STATISTICIANS, GENETICISTS, MOLECULAR BIOLOGISTS, BIOCHEMISTS AND COMPUTER SCIENTISTS.
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"...aspires to contribute to developing methods for exploiting the new data explosion sparked by the Human Genome Project." (SciTech Book News, Vol. 25, No. 4, December 2001) "This magnificent book attempts to catalogue and introduce all aspects of modern statistical genetics...I can thoroughly recommend it." (Short Book Reviews, Vol. 21, No. 3, December 2001) "It is ideal for use as an introduction to a variety of statistical methods and provides an extensive source of references." (Human Genetics, 15 April 2002) "...the publisher has gathered...methodology very impressively in handbook format." (Technometrics, Vol. 45, No. 1, February 2003) "...extremely well written and referenced work, which must come highly recommended..." (Statistical Methods in Medical Research, Vol.12, No.1, 2003) "...an edited volume whose intellectual value may actually increase with time..." (Heredity, 2003) "...individual chapters are of high quality...an excellent starting point...a must for all institutions dealing with the subject..." (Statistics in Medicine, Vol 23, 2004)
A truly groundbreaking volume, the Handbook of Statistical Genetics is a timely, informative and highly accessible reference for both statisticians interested in genetical applications and geneticists seeking a deeper understanding of statistical methods in their field. It is divided into six main sections, encompassing the entire field of statistics in genetics: - Bioinformatics - Population Genetics - Evolutionary Genetics - Genetic Epidemiology - Plant and Animal Genetics - Applications As the Human Genome Project (HGP) reaches its climax, with the complete sequence of mankind, science is fast approaching an exciting new stage in its ability to understand genetic forces in man. In parallel to the HGP are major sequencing efforts in other organisms, enabling us to understand broader questions in evolution and classification. This explosion of data has led to an increased need for sophisticated statistical, mathematical and computational tools to enable complex data collection, analysis and interpretation of the results. - Comprehensive coverage of the most pressing statistical issues in genetics. Offers a lucid introduction to newcomers, as well as providing invaluable information for more experienced researchers. - Each chapter is written by a leading international authority from the field. - Complemented by numerous examples, case studies, and references to useful resources on the web. This authoritative reference will be ideal for both students and researchers working in genetics, including statisticians, geneticists, molecular biologists, biochemists and computer scientists.
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