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"Providing an interface between dry-bench bioinformaticians and wet-lab biologists, DNA Methylation Microarrays: Experimental Design and Statistical Analysis presents the statistical methods and tools to analyze high-throughput epigenomic data, in particular, DNA methylation microarray data"

"Penyejajaran barisan DNA dilakukan dengan tujuan melihat tingkat kemiripan antara barisan DNA. Pada tugas akhir ini, dilakukan penyejajaran barisan DNA dengan menggunakan algoritma X-drop dan algoritma greedy. Algoritma X-drop melakukan penyejajaran barisan DNA dengan menggunakan pendekatan pemrograman dinamik. Algoritma greedy merupakan modifikasi algoritma X-drop.Kedua algoritma ini bekerja dengan menelusuri penyejajaran yang tidak memenuhi kondisi X-drop, yaitu kondisi yang bergantung pada nilai X yang dipilih oleh pengguna, sehingga kinerja dari kedua algoritma ini bergantung pada pemilihan nilai X yang tepat. Pada simulasi yang telah dilakukan, dengan menggunakan nilai X yang sama, kedua algoritma memberikan hasil penyejajaran yang sama, dengan running time algoritma greedy lebih baik dari algoritma X-drop."

"From the Publisher: John Butler, bestselling author of Forensic DNA Typing, now applies his expertise on the subject of DNA analysis into an introductory textbook. Fundamentals of Forensic DNA Typing walks students step-by-step through the DNA analysis process beginning with collection of evidence at a crime scene to the statistical interpretation of the results. Also included are brief discussions of such news worthy topics as victim identification from the September 11, 2001 attacks, the identification of the remains of the Romano vs, the last Russian Royal family, and the O.J. Simpson case. New applications, such as genetic genealogy and tracing domestic pet hairs to perpetrators, are also detailed. With its clear and understandable style and extensive list of online ancillaries and study aids, this textbook will make the subject accessible to students in forensic science courses worldwide. Includes a glossary with over 400 terms for quick reference of unfamiliar terms as well as an acronym guide to decipher the DNA dialect; Continues in the style of Forensic DNA Typing, 2e, with high-profile cases addressed in D.N.A. Boxes. "Data, Notes & Applications" sections throughout; Ancillaries include: instructor manual Web site, with tailored set of 1000+ PowerPoint slides (including figures), links to online training websites and a test bank with key."

"Written for animal researchers, this book provides a comprehensive guide to the design and statistical analysis of animal experiments. It has long been recognised that the proper implementation of these techniques helps reduce the number of animals needed. By using real-life examples to make them more accessible, this book explains the statistical tools employed by practitioners. A wide range of design types are considered, including block, factorial, nested, cross-over, dose-escalation and repeated measures and techniques are introduced to analyse the experimental data generated. Each analysis technique is described in non-mathematical terms, helping readers without a statistical background to understand key techniques such as t-tests, ANOVA, repeated measures, analysis of covariance, multiple comparison tests, non-parametric and survival analysis. This is also the first text to describe technical aspects of InVivoStat, a powerful open-source software package developed by the authors to enable animal researchers to analyse their data and obtain informative results""