In this expanded new edition of Living with Earthquakes, Robert Yeats, a leading authority on earthquakes in California and the Pacific Northwest, describes the threat posed by the Cascadia Subduction Zone, a great earthquake fault which runs for hundreds of miles offshore from British Columbia to northern California. New research reveals subtle movements on the deepest part of this fault every 14-15 months — building up strain toward the next major earthquake.

Combining cutting-edge research with practical safety information, Living with Earthquakes:

• introduces new information about the danger from faults beneath major Northwest cities: the Seattle Fault, Tacoma Fault, and Portland Hills Fault
• explores such topics as earthquake forecasting, catastrophe insurance, tsunamis, soil liquefaction, and seismic waves in Northwest lakes caused by Alaskan earthquakes
• reviews earthquake preparedness and disaster response in the aftermath of the 2001 Nisqually earthquake, the worst natural disaster in Washington’s history
• suggests actions that citizens can take to protect their families and homes

An essential guide for anyone interested in understanding earthquake science or in preparing for the next earthquake, this book is also a call to action. Vivid descriptions of recent disasters — including the great tsunami that swept down the Northwest coast in 1964, the 1993 Oregon earthquakes, and the 2001 Nisqually earthquake — underscore the urgent need for better earthquake planning and awareness.

A Primer for Computational Biology aims to provide life scientists and students the skills necessary for research in a data-rich world. The text covers accessing and using remote servers via the command-line, writing programs and pipelines for data analysis, and provides useful vocabulary for interdisciplinary work. The book is broken into three parts:

1. Introduction to Unix/Linux: The command-line is the “natural environment” of scientific computing, and this part covers a wide range of topics, including logging in, working with files and directories, installing programs and writing scripts, and the powerful “pipe” operator for file and data manipulation.
2. Programming in Python: Python is both a premier language for learning and a common choice in scientific software development. This part covers the basic concepts in programming (data types, if-statements and loops, functions) via examples of DNA-sequence analysis. This part also covers more complex subjects in software development such as objects and classes, modules, and APIs.
3. Programming in R: The R language specializes in statistical data analysis, and is also quite useful for visualizing large datasets. This third part covers the basics of R as a programming language (data types, if-statements, functions, loops and when to use them) as well as techniques for large-scale, multi-test analyses. Other topics include S3 classes and data visualization with ggplot2.