Applied Computational Genomics

Nonfiction, Health & Well Being, Medical, Medical Science, Genetics, Science & Nature, Science, Biological Sciences, Physiology
Cover of the book Applied Computational Genomics by , Springer Netherlands
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9789400755581
Publisher: Springer Netherlands Publication: December 30, 2012
Imprint: Springer Language: English
Author:
ISBN: 9789400755581
Publisher: Springer Netherlands
Publication: December 30, 2012
Imprint: Springer
Language: English

"Applied Computational Genomics" focuses on an in-depth review of statistical development and application in the area of human genomics including candidate gene mapping, linkage analysis, population-based, genome-wide association, exon sequencing and whole genome sequencing analysis. The authors are extremely experienced in the area of statistical genomics and will give a detailed introduction of the evolution in the field and critical evaluations of the advantages and disadvantages of the statistical models proposed. They will also share their views on a future shift toward translational biology. The book will be of value to human geneticists, medical doctors, health educators, policy makers, and graduate students majoring in biology, biostatistics, and bioinformatics. Dr. Yin Yao Shugart is investigator in the Intramural Research Program at the National Institute of Mental Health, Bethesda, Maryland USA. ​                        

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

"Applied Computational Genomics" focuses on an in-depth review of statistical development and application in the area of human genomics including candidate gene mapping, linkage analysis, population-based, genome-wide association, exon sequencing and whole genome sequencing analysis. The authors are extremely experienced in the area of statistical genomics and will give a detailed introduction of the evolution in the field and critical evaluations of the advantages and disadvantages of the statistical models proposed. They will also share their views on a future shift toward translational biology. The book will be of value to human geneticists, medical doctors, health educators, policy makers, and graduate students majoring in biology, biostatistics, and bioinformatics. Dr. Yin Yao Shugart is investigator in the Intramural Research Program at the National Institute of Mental Health, Bethesda, Maryland USA. ​                        

More books from Springer Netherlands

Cover of the book Educational Research: Proofs, Arguments, and Other Reasonings by
Cover of the book Genocide and Retribution by
Cover of the book Questioning Cosmopolitanism by
Cover of the book Regulation of Agricultural Biotechnology: The United States and Canada by
Cover of the book Robotic Cardiac Surgery by
Cover of the book International Handbook of Interpretation in Educational Research by
Cover of the book Mineral Processing in Developing Countries by
Cover of the book Semantical Essays by
Cover of the book Ubiquitous Computing Application and Wireless Sensor by
Cover of the book Automatic trend estimation by
Cover of the book MCQs in Applied Basic Sciences by
Cover of the book The Life of John Lothrop Motley by
Cover of the book Intrauterine Devices and Their Complications by
Cover of the book Automation: The Future of Weed Control in Cropping Systems by
Cover of the book Science, Politics and Morality by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy