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.
by Samantha Fowler, et al. - OpenStax College
This textbook conveys the major themes of biology, such as a foundation in evolution, and features a rich and engaging art program. It is intended for the introductory biology course for non-science majors taught at most two- and four-year colleges.
by Hiroshi Moriyama (ed.) - InTech
This book provides convincing reasons which explain sex differences. The somewhat different data on sex differences in the book will offer new ideas not only to life scientists and biologists, but social and cultural scientists as well.