Bioinformatics Research Guide

This is the official text for the National Association of Science Writers. In the eight years since the publication of the first edition of A Field Guide for Science Writing, much about the world has changed. Some of the leading issues in today's political marketplace - embryonic stem cell research, global warming, health care reform, space exploration, genetic privacy, germ warfare - are informed by scientific ideas. Never has it been more crucial for the lay public to be scientifically literate. That's where science writers come in. And that's why it's time for an update to the Field Guide, already a staple of science writing graduate programs across the country.The academic community has recently recognized how important it is for writers to become more sophisticated, knowledgeable, and skeptical about what they write. More than 50 institutions now offer training in science writing. In addition mid-career fellowships for science writers are growing, giving journalists the chance to return to major universities for specialized training. We applaud these developments, and hope to be part of them with this new edition of the Field Guide.In A Field Guide for Science Writers, 2nd Edition, the editors have assembled contributions from a collections of experienced journalists who are every bit as stellar as the group that contributed to the first edition. In the end, what we have are essays written by the very best in the science writing profession. These wonderful writers have written not only about style, but about content, too. These leaders in the profession describe how they work their way through the information glut to find the gems worth writing about. We also have chapters that provide the tools every good science writer needs: how to use statistics, how to weigh the merits of conflicting studies in scientific literature, how to report about risk. And, ultimately, how to write.

This book is designed to enable non-native English speakers to write science research for publication in English. It can also be used by English speakers and is a practical, user-friendly book intended as a fast, do-it-yourself guide for those whose English language proficiency is above intermediate. The approach is based on material developed from teaching graduate students at Imperial College London and has been extensively piloted. The book guides the reader through the process of writing science research and will also help with writing a Master's or Doctoral thesis in English.Science writing is much easier than it looks because the structure and language are conventional. The aim of this book is to help the reader discover a template or model for science research writing and then to provide the grammar and vocabulary tools needed to operate that model. There are five units: Introduction, Methodology, Results, Discussion/Conclusion and Abstract. The reader develops a model for each section of the research article through sample texts and exercises; this is followed by a Grammar and Writing Skills section designed to respond to frequently-asked questions as well as a Vocabulary list including examples of how the words and phrases are to be used.

As a scientist, you are a professional writer: your career is built on successful proposals and papers. Success isn't defined by getting papers into print, but by getting them into the reader's consciousness. Writing Science is built upon the idea that successful science writing tells a story. It uses that insight to discuss how to write more effectively. Integrating lessons from other genres of writing with those from the author's years of experience as author, reviewer, and editor, the book shows scientists and students how to present their research in a way that is clear and that will maximize reader comprehension.The book takes an integrated approach, using the principles of story structure to discuss every aspect of successful science writing, from the overall structure of a paper or proposal to individual sections, paragraphs, sentences, and words. It begins by building core arguments, analyzing why some stories are engaging and memorable while others are quickly forgotten, and proceeds to the elements of story structure, showing how the structures scientists and researchers use in papers and proposals fit into classical models. The book targets the internal structure of a paper, explaining how to write clear and professional sections, paragraphs, and sentences in a way that is clear and compelling. The ideas within a paper should flow seamlessly, drawing readers along. The final section of the book deals with special challenges, such as how to discuss research limitations and how to write for the public. Writing Science is a much-needed guide to succeeding in modern science. Its insights and strategies will equip science students, scientists, and professionals across a wide range of scientific and technical fields with the tools needed to communicate effectively.

An authoritative how-to guide that explains every aspect of science proposal writing   This fully revised edition of the authoritative guide to science proposal writing is an essential tool for any researcher embarking on a grant or thesis application. In accessible steps, the authors detail every stage of proposal writing, from conceiving and designing a project to analyzing data, synthesizing results, estimating a budget, addressing reviewer comments, and resubmitting. This new edition is updated to address changes and developments over the past decade, including identifying opportunities and navigating the challenging proposal-funding environment. The only how-to book of its kind, it includes exercises to help readers stay on track as they develop their grant proposals and is designed for those in the physical, life, environmental, biomedical, and social sciences, as well as engineering.

Written specifically for undergraduate students, this guide describes the basic elements of scientific writing as well as the elements of grammar and punctuation fundamental to all good writing. Clear, concise explanations and examples.