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John Adair M'Dowell went to California in 1849 and settled in Monterey. In 1851, he was elected mayor of Monterey and then returned to Iowa in 1852. John Edwards went to California in 1849. He was elected as an alcalde before the state government was formed. In 1852 he moved to Iowa. The brief biographies concentrated on their activities during the Civil War.
Biography of David Hillis, currently Professor at University of Texas at Austin, previously Director, Center for Computational Biology and Bioinformatics at University of Texas at Austin and Director, Center for Computational Biology and Bioinformatics at University of Texas at Austin.
Presents biographical details of 391 eponyms and names in the field, along with the context and relevance of their contributions.
For sample chapters, a video interview with David Hillis, and more information, visit www.whfreeman.com/hillispreview. Sinauer Associates and W.H. Freeman are proud to introduce Principles of Life. Written in the spirit of the reform movement that is reinvigorating the introductory majors course, Principles of Life cuts through the thicket of excessive detail and factual minutiae to focus on what matters most in the study of biology today. Students explore the most essential biological ideas and information in the context of the field’s defining experiments, and are actively engaged in analyzing research data. The result is a textbook that is hundreds of pages shorter (and significantly less expensive) than the current majors introductory books.
First multi-year cumulation covers six years: 1965-70.
Computational and Evolutionary Analysis of HIV Molecular Sequences is for all researchers interested in HIV research, even those who only have a nodding acquaintance with computational biology (or those who are familiar with some, but not all, aspects of the field). HIV research is unusual in that it brings together scientists from a wide range of disciplines: clinicians, pathologists, immunologists, epidemiologists, virologists, computational biologists, structural biologists, evolutionary biologists, statisticians and mathematicians. This book seeks to bridge the gap between these groups, in both subject matter and terminology. Focused largely on HIV genetic variation, Computational and Evolutionary Analysis of HIV Molecular Sequences covers such issues as sampling and processing sequences, population genetics, phylogenetics and drug targets.