Applied Biostatistical Analysis Using R
by Stephen B. Cox
Publisher: OTexts 2013
Number of pages: 358
Statistics allows us to describe (and quantify) variability in biological data, and it facilitates the biologist's ability to make reasonable decisions and predictions. This text is designed for upper-level undergraduate or graduate students intending to pursue a career in the biological or biomedical sciences.
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by Mike J. Farabee
College-level introductory biology: chemistry, cells, enzymes, metabolism, photosynthesis, genetics, protein synthesis, plants, animals, evolutionary theory, paleobiology, biological diversity, human evolution, population ecology, etc.
by Paul Doerder, et al. - Wikibooks
Contents: Getting Started: Chemical Building Blocks of Life, History and Origin of Life; Cells, Energy and Metabolism; Genetics; Classification of Living Things; Evolution; Tissues and Systems; Additional material: Gallery of Biologists.
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This book serves as a good starting point for anyone interested in the application of Tissue Engineering. The authors offer a colorful mix of topics, which explain the obstacles and possible solutions for TE applications.
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Bone Wars presents a cultural history of the early years of paleontology at the turn of the last century. With the help of contemporary newspaper stories, Tom Rea re-creates a remarkable story of hubris, hope, and late Victorian science.