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Author: Elisabeth B. Davis
Publisher: CRC Press
ISBN: 9780824794774
Category : Medical
Languages : en
Pages : 440
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Book Description
Author: Elisabeth B. Davis
Publisher: CRC Press
ISBN: 9780824794774
Category : Medical
Languages : en
Pages : 440
Get Book Here
Book Description
Author: Diane Schmidt
Publisher: CRC Press
ISBN: 146655858X
Category : Language Arts & Disciplines
Languages : en
Pages : 362
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Book Description
The biological sciences cover a broad array of literature types, from younger fields like molecular biology with its reliance on recent journal articles, genomic databases, and protocol manuals to classic fields such as taxonomy with its scattered literature found in monographs and journals from the past three centuries. Using the Biological Litera
Author: Victoria E. McMillan
Publisher: Macmillan Higher Education
ISBN: 131926848X
Category : Language Arts & Disciplines
Languages : en
Pages : 502
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Book Description
Writing in the Biological Sciences is a handy reference that new to advanced students can readily use on their own. A variety of student models prepare you for the most common writing assignments in undergraduate biology courses.
Author: Gregg Hartvigsen
Publisher: Columbia University Press
ISBN: 0231537042
Category : Education
Languages : en
Pages : 245
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Book Description
R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. Drawing on Gregg Hartvigsen's extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences. Underscoring the importance of R and RStudio in organizing, computing, and visualizing biological statistics and data, Hartvigsen guides readers through the processes of entering data into R, working with data in R, and using R to visualize data using histograms, boxplots, barplots, scatterplots, and other common graph types. He covers testing data for normality, defining and identifying outliers, and working with non-normal data. Students are introduced to common one- and two-sample tests as well as one- and two-way analysis of variance (ANOVA), correlation, and linear and nonlinear regression analyses. This volume also includes a section on advanced procedures and a chapter introducing algorithms and the art of programming using R.
Author: Victor Bloomfield
Publisher: Springer Science & Business Media
ISBN: 1441900837
Category : Science
Languages : en
Pages : 325
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Book Description
This book provides an introduction to two important aspects of modern bioch- istry, molecular biology, and biophysics: computer simulation and data analysis. My aim is to introduce the tools that will enable students to learn and use some f- damental methods to construct quantitative models of biological mechanisms, both deterministicandwithsomeelementsofrandomness;tolearnhowconceptsofpr- ability can help to understand important features of DNA sequences; and to apply a useful set of statistical methods to analysis of experimental data. The availability of very capable but inexpensive personal computers and software makes it possible to do such work at a much higher level, but in a much easier way, than ever before. TheExecutiveSummaryofthein?uential2003reportfromtheNationalAcademy of Sciences, “BIO 2010: Transforming Undergraduate Education for Future - search Biologists” [12], begins The interplay of the recombinant DNA, instrumentation, and digital revolutions has p- foundly transformed biological research. The con?uence of these three innovations has led to important discoveries, such as the mapping of the human genome. How biologists design, perform, and analyze experiments is changing swiftly. Biological concepts and models are becoming more quantitative, and biological research has become critically dependent on concepts and methods drawn from other scienti?c disciplines. The connections between the biological sciences and the physical sciences, mathematics, and computer science are rapidly becoming deeper and more extensive.
Author: Richard Durbin
Publisher: Cambridge University Press
ISBN: 113945739X
Category : Science
Languages : en
Pages : 372
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Book Description
Probabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analysing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring phylogenies of sequences from different organisms. This book gives a unified, up-to-date and self-contained account, with a Bayesian slant, of such methods, and more generally to probabilistic methods of sequence analysis. Written by an interdisciplinary team of authors, it aims to be accessible to molecular biologists, computer scientists, and mathematicians with no formal knowledge of the other fields, and at the same time present the state-of-the-art in this new and highly important field.
Author: David J. Glass
Publisher: CSHL Press
ISBN: 0879697350
Category : Biology
Languages : en
Pages : 211
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Book Description
The effective design of scientific experiments is critical to success, yet graduate students receive very little formal training in how to do it. Based on a well-received course taught by the author, Experimental Design for Biologistsfills this gap. Experimental Design for Biologistsexplains how to establish the framework for an experimental project, how to set up a system, design experiments within that system, and how to determine and use the correct set of controls. Separate chapters are devoted to negative controls, positive controls, and other categories of controls that are perhaps less recognized, such as “assumption controls†and “experimentalist controls†. Furthermore, there are sections on establishing the experimental system, which include performing critical “system controls†. Should all experimental plans be hypothesis-driven? Is a question/answer approach more appropriate? What was the hypothesis behind the Human Genome Project? What color is the sky? How does one get to Carnegie Hall? The answers to these kinds of questions can be found in Experimental Design for Biologists. Written in an engaging manner, the book provides compelling lessons in framing an experimental question, establishing a validated system to answer the question, and deriving verifiable models from experimental data. Experimental Design for Biologistsis an essential source of theory and practical guidance in designing a research plan.
Author: Elisabeth B. Davis
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 312
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Book Description
Comprehensive listing of important sources that may be found in large research libraries, with emphasis on current materials in the English language. Includes main areas of the biological sciences; excludes applied areas, e.g., medicine. Certain retrospective titles are also included to give historical perspective. Broad subject arrangement in chapters divided by forms of materials. Entries give bibliographical information and, often, annotations. Index.
Author: George E. Heimpel
Publisher: Cambridge University Press
ISBN: 0521845149
Category : Business & Economics
Languages : en
Pages : 393
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Book Description
This book enhances our understanding of biological control, integrating historical analysis, theoretical models and case studies in an ecological framework.
Author: John Measey
Publisher: CRC Press
ISBN: 1000548317
Category : Medical
Languages : en
Pages : 278
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Book Description
This book is a guide specifically for Early Career Researchers on how to publish in the Biological Sciences, whether that be your first manuscript or if you’re already experienced – there’s something for everyone. Following on from How to Write a PhD in Biological Sciences: A Guide for the Uninitiated, it will guide you through taking your manuscript to publication in peer-reviewed journals and disseminating your research more broadly. It talks you through the peer-review process, including how to respond to reviewers’ comments, the meaning and importance of Impact Factors and how to get citations. It also explores the challenges in the academic community around Open Access and other debates, including transparency, overlay journals, paywalls, publication bias, predatory journals and the dangers of bullying. Whether you are a student just completing your studies, or a supervisor struggling with rejections, this book will provide the insider information you need to get ahead.
