At last, here is a baseline book for anyone who is confused by cryptic computer programs, algorithms and formulae, but wants to learn about applied bioinformatics. Now, anyone who can operate a PC, standard software and the internet can also learn to understand the biological basis of bioinformatics, of the existence as well as the source and availability of bioinformatics software, and how to apply these tools and interpret results with confidence. This process is aided by chapters that introduce important aspects of bioinformatics, detailed bioinformatics exercises (including solutions), and to cap it all, a glossary of definitions and terminology relating to bioinformatics.

This book contains a compilation of papers presented at the II International Conference on Environmental, Industrial and Applied Microbiology (BioMicroWorld2007) held in Seville, Spain on 28 November - 1 December 2007, where over 550 researchers from about 60 countries attended and presented their cutting-edge research. The main goals of this book are to: (1) identify new approaches and research opportunities in applied microbiology, presenting works that link microbiology with research areas usually related to other scientific and engineering disciplines; and (2) communicate current research priorities and progress in the field. The contents of this book mirror this focus.Microbiologists interested in environmental, industrial and applied microbiology and, in general, scientists whose research fields are related to applied microbiology can find an overview of the current state of the art in the topic. In addition to the more general topic, some chapters are devoted to specific branches of microbiology research, such as bioremediation; biosurfactants; microbial factories; biotechnologically relevant enzymes and proteins; microbial physiology, metabolism and gene expression; and future bioindustries.

Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field.

Bioinformatics is a relatively new field of research. It evolved from the requirement to process, characterize, and apply the information being produced by DNA sequencing technology. The production of DNA sequence data continues to grow exponentially. At the same time, improved bioinformatics such as faster DNA sequence search methods have been combined with increasingly powerful computer systems to process this information. Methods are being developed for the ever more detailed quantification of gene expression, providing an insight into the function of the newly discovered genes, while molecular genetic tools provide a link between these genes and heritable traits. Genetic tests are now available to determine the likelihood of suffering specific ailments and can predict how plant cultivars may respond to the environment. The steps in the translation of the genetic blueprint to the observed phenotype is being increasingly understood through proteome, metabolome and phenome analysis, all underpinned by advances in bioinformatics. Bioinformatics is becoming increasingly central to the study of biology, and a day at a computer can often save a year or more in the laboratory. The volume is intended for graduate-level biology students as well as researchers who wish to gain a better understanding of applied bioinformatics and who wish to use bioinformatics technologies to assist in their research. The volume would also be of value to bioinformatics developers, particularly those from a computing background, who would like to understand the application of computational tools for biological research. Each chapter would include a comprehensive introduction giving an overview of the fundamentals, aimed at introducing graduate students and researchers from diverse backgrounds to the field and bring them up-to-date on the current state of knowledge. To accommodate the broad range of topics in applied bioinformatics, chapters have been grouped into themes: gene and genome analysis, molecular genetic analysis, gene expression analysis, protein and proteome analysis, metabolome analysis, phenome data analysis, literature mining and bioinformatics tool development. Each chapter and theme provides an introduction to the biology behind the data describes the requirements for data processing and details some of the methods applied to the data to enhance biological understanding.

By allowing key scientists, researchers, professors, and classroom teachers of science to speak for themselves through their published writings about what is best and needed for the field, Dr. DeBoer presents a fascinating account of the history of science education in the United States from the middle of the 19th century to the present. The book relates how science first struggled to find a place in the school curriculum and recounts the many debates over the years about what that curriculum should be. In fact, many of what we consider modern ideas in science education are not new at all but can be traced to writings on education of one hundred years ago. The book is aimed at all those interested in science education: classroom teachers and science education leaders concerned about the historical justification of the goals and strategies proposed for the field. The book should be enjoyed not only by the researcher but also by anyone curious about just how curriculum is decided upon and implemented on a national scale. “This is without question the finest book of its kind on the market. It deserves to be widely read by current and future science teachers, supervisors, science education faculty in colleges and universities, curriculum developers, and program officers in funding agencies.” —The Science Teacher “Adds a significant dimension to the history of American schooling and curriculum.” —History of Education Quarterly

This book targets students who are going to be K-12 teachers and points out the responsibilities that both science and education faculty members face. These responsibilities not only include providing fundamental information and skills related to teaching, but also mentoring teachers to reflect their understanding. The National Science Education Standards specifically address grades K-12; however, these standards have a great significance for higher education in that they also address systematic issues of teacher preparation and professional development. This document discusses ways in which the Standards are meaningful to higher education. Chapters 1 and 3 focus on the teaching and assessment standards. Chapter 2 concerns professional development standards. Chapter 4 addresses content standards. Chapter 5 discusses science education program standards. Chapter 6 describes the science education system standards. (YDS)