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Why Study Biology by the Sea?
For almost a century and a half, biologists have gone to the seashore to study life. The oceans contain rich biodiversity, and organisms at the intersection of sea and shore provide a plentiful sampling for research into a variety of questions at the laboratory bench: How does life develop and how does it function? How are organisms that look different related, and what role does the environment play? From the Stazione Zoologica in Naples to the Marine Biological Laboratory in Woods Hole, the Amoy Station in China, or the Misaki Station in Japan, students and researchers at seaside research stations have long visited the ocean to investigate life at all stages of development and to convene discussions of biological discoveries. Exploring the history and current reasons for study by the sea, this book examines key people, institutions, research projects, organisms selected for study, and competing theories and interpretations of discoveries, and it considers different ways of understanding research, such as through research repertoires. A celebration of coastal marine research, Why Study Biology by the Sea? reveals why scientists have moved from the beach to the lab bench and back.
Tell It Like It Is
Through this writing, I hope to encourage others, wherever they are, to tell their experiences of dealing with wrongdoers, shysters, and scammers. And if leaders or service providers in your city and county resolve issues with lip service, back-burner service, a lack of concern, or incompetence when you question actions taken under their area of purview, expose their failure to act or their inappropriate action, as the case may be. Ignoring a problem tends to have the same result as supporting a problem--it continues to grow!
Journal of the House
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Applied Computational Genomics
"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.
