Bio-statistics

Biostatistics applies statistical techniques to a wide range of topics in biology. It encompasses the design of biological experiments, especially in medicine and agriculture; the collection, summarization, and analysis of data from those experiments; and the interpretation of, and inference from, the results. Biostatistics is a useful course of study for today's science student, since it is used in many sectors, including public health, medical research, genetic studies, agriculture and animal breeding, and ecology.Selected Contents: Statistics of Knots, Geometry of Conformations, and Evolution of Proteins; Polymorphism Data Can Reveal the Origin of Species Abundance Statistics; What a Plant Sounds Like: The Statistics of Vegetation Echoes as Received by Echolocating Bats; Spike Correlations in a Songbird: Agree with a Simple Markov Population Model; Modeling and Inferring Cleavage Patterns in Proliferating Epithelia; On Modeling HIV and T Cells In Vivo: Assessing Causal Estimators in Vaccine Trials; Predicting Functional Gene Links from Phylogenetic-Statistical Analyses of Whole Genomes; A Probabilistic Model of Local Sequence Alignment That Simplifies Statistical Significance Estimation; Bioinformatics for Whole-Genome Shotgun Sequencing of Microbial Communities; Bottleneck Genes and Community Structure in the Cell Cycle Network of S. pombe; Gamma Oscillations of Spiking Neural Populations Enhance Signal Discrimination; Robustness, Dissipations and Coherence of the Oscillation of Circadian Clock: Potential Landscape and Flux Perspectives; In Silico Detection of Sequence Variations Modifying Transcriptional Regulation; Index