This access card code provides access to over 140 interactive videos and 300 labelled photographs instructing students on the life cycles of organisms, a laboratory manual containing challenging experiments, interactive puzzles and web links, a complete glossary with rollover definitions, study questions and a laboratory skills guide.

Developmental biology is at the core of all biology. This text emphasizes the principles and key developments in order to provide an approach and style that will appeal to students at all levels.

For undergradute social science majors. A textbook on the interpretation and use of research. Annotation copyright Book News, Inc. Portland, Or.

Next Generation Sequencing (NGS) is the latest high throughput technology to revolutionize genomic research. NGS generates massive genomic datasets that play a key role in the big data phenomenon that surrounds us today. To extract signals from high-dimensional NGS data and make valid statistical inferences and predictions, novel data analytic and statistical techniques are needed. This book contains 20 chapters written by prominent statisticians working with NGS data. The topics range from basic preprocessing and analysis with NGS data to more complex genomic applications such as copy number variation and isoform expression detection. Research statisticians who want to learn about this growing and exciting area will find this book useful. In addition, many chapters from this book could be included in graduate-level classes in statistical bioinformatics for training future biostatisticians who will be expected to deal with genomic data in basic biomedical research, genomic clinical trials and personalized medicine. About the editors: Somnath Datta is Professor and Vice Chair of Bioinformatics and Biostatistics at the University of Louisville. He is Fellow of the American Statistical Association, Fellow of the Institute of Mathematical Statistics and Elected Member of the International Statistical Institute. He has contributed to numerous research areas in Statistics, Biostatistics and Bioinformatics. Dan Nettleton is Professor and Laurence H. Baker Endowed Chair of Biological Statistics in the Department of Statistics at Iowa State University. He is Fellow of the American Statistical Association and has published research on a variety of topics in statistics, biology and bioinformatics.

This handbook offers original, critical perspectives on different approaches to the history of biology. This collection is intended to start a new conversation among historians of biology regarding their work, its history, and its future. Historical scholarship does not take place in isolation: As historians create their narratives describing the past, they are in dialogue not only with their sources but with other historians and other narratives. One important task for the historian is to place her narrative in a historiographic lineage. Each author in this collection offers their particular perspective on the historiography of a range of topics from Model Organisms to Eugenics, Molecular Biology to Biotechnology, Women, Race, Scientific Biography, Genetics, Darwin and more. Rather than comprehensive literature reviews, the essays critically reflect upon important historiographic trends, offering pointed appraisals of the field by leading scholars. Other authors will surely have different perspectives, and this is the beauty and challenge of history-making. The Handbook of the Historiography of Biology presents an opportunity to engage with each other about how the history of biology has been and will be written.