Related books on 'sequence-analysis'

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by: Eija Korpelainen
publisher: Chapman and Hall/CRC, published: 2014-09-04
ASIN: 1466595000
EAN: 9781466595002
sales rank: 820226

The State of the Art in Transcriptome Analysis
RNA sequencing (RNA-seq) data offers unprecedented information about the transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck. RNA-seq Data Analysis: A Practical Approach enables researchers to examine differential expression at gene, exon, and transcript levels and to discover novel genes, transcripts, and whole transcriptomes.

Balanced Coverage of Theory and Practice
Each chapter starts with theoretical background, followed by descriptions of relevant analysis tools and practical examples. Accessible to both bioinformaticians and nonprogramming wet lab scientists, the examples illustrate the use of command-line tools, R, and other open source tools, such as the graphical Chipster software.

The Tools and Methods to Get Started in Your Lab
Taking readers through the whole data analysis workflow, this self-contained guide provides a detailed overview of the main RNA-seq data analysis methods and explains how to use them in practice. It is suitable for researchers from a wide variety of backgrounds, including biology, medicine, genetics, and computer science. The book can also be used in a graduate or advanced undergraduate course.

by: Ingvar Eidhammer
publisher: Wiley, published: 2004-02-13
ASIN: 0470848391
EAN: 9780470848395
sales rank: 1025197
Genomics and bioinformatics play an increasingly important and transformative role in medicine, society and agriculture. The mapping of the human genome has revealed 35,000 or so genes which might code for more than one protein, resulting in 100,000 proteins for the humans alone. Since proteins are attractive targets for developing drugs, efforts are now underway to map sequences and assign functions to many novel proteins. This book takes the novel approach to cover both the sequence and structure analysis of proteins in one volume and from an algorithmic perspective.

Key features of the book include:

  • Provides a comprehensive introduction to the analysis of protein sequence and structure analysis.
  • Takes an algorithmic approach, relying on computational methods rather than theoretical.
  • Provides an integrated presentation of theory, examples, exercises and applications.
  • Includes coverage of both protein structure, and sequence, analysis.
  • Accessible enough for biologists, yet rigorous enough for computer scientists and mathematicians.
  • Supported by a Web site featuring exercises, solutions, images, and computer programs.

Visit this website for exercises with solutions, computer programs, errata and additional material:

by: Matthew B. Miles
publisher: SAGE Publications, Inc, published: 2013-04-18
ASIN: 1452257876
EAN: 9781452257877
sales rank: 27062
The Third Edition of Miles & Huberman's classic research methods text is updated and streamlined by Johnny Saldaña, author of The Coding Manual for Qualitative Researchers. Several of the data display strategies from previous editions are now presented in re-envisioned and reorganized formats to enhance reader accessibility and comprehension. The Third Edition’s presentation of the fundamentals of research design and data management is followed by five distinct methods of analysis: exploring, describing, ordering, explaining, and predicting. Miles and Huberman's original research studies are profiled and accompanied with new examples from Saldaña's recent qualitative work. The book's most celebrated chapter, "Drawing and Verifying Conclusions," is retained and revised, and the chapter on report writing has been greatly expanded, and is now called “Writing About Qualitative Research.” Comprehensive and authoritative, Qualitative Data Analysis has been elegantly revised for a new generation of qualitative researchers.

by: Heather Thomas PhD OTR/L
publisher: Slack Incorporated, published: 2011-07-15
ASIN: 1556429460
EAN: 9781556429460
sales rank: 5567

Activity Analysis is an essential skill to occupational therapy. Students and practitioners need not only an understanding of what activity analysis is and how to break down the steps of a task, but also understand how each aspect of an activity influences participation in occupations. Occupation-Based Activity Analysis is a definitive text that effectively progresses the reader toward understanding the differences between occupations and activities, and the interaction of all of the components of activities and occupations, such as performance skills, client factors, activity demands, and contexts.

Occupation-Based Activity Analysis by Heather Thomas instructs students to analyze activities using the domain components as outlined in the Occupational Therapy Practice Framework: Domain and Process, 2nd Edition. This timely text guides the reader through understanding the process of activity analysis from the perspective of examining typical activity demands. Learning of key concepts is reinforced through case examples, worksheets, exercises, and sample analyses.

Beginning with defining the domain of practice through the areas of occupation, students will learn to identify occupations and activities, while learning to understand the importance of analysis to their domain of practice. Students and practitioners will also discover how to analyze the demands inherent to the activity itself, and the context which surround the activity and the people engaged in it. The component steps to analyzing activities or occupations are uncovered in separate chapters, each aspect reinforces concepts that are foundational to occupational therapy practice.

A Glance at What Is Covered:
• Activity versus occupation versus tasks
• Areas of occupation defined
• Details of how social and space demands, as well as objects influence performance
• Client factors and body functions and structures defined as they relate to performance in occupations
• The influence of the client’s contexts
• Performance patterns and how their influence on occupations
• How to grade and adapt an activity

Instructors in educational settings can visit for additional material to be used for teaching in the classroom.

Occupation-Based Activity Analysis is an excellent text for students and for practitioners looking to further their understanding of activity analysis.



by: A. N. Kolmogorov
publisher: Dover Publications, published: 1999-02-16
ASIN: 0486406830
EAN: 9780486406831
sales rank: 166796
Based on the authors' courses and lectures, this two-part advanced-level text is now available in a single volume. Topics include metric and normed spaces, continuous curves in metric spaces, measure theory, Lebesque intervals, Hilbert space, and more. Each section contains exercises. Lists of symbols, definitions, and theorems. 1957 edition.

publisher: Humana Press, published: 2008-05-22
ASIN: 1588297071
EAN: 9781588297075
sales rank: 4244742

In this book, leading researchers in the field of Bioinformatics provide a selection of the most useful and widely applicable methods, able to be applied as is, or with minor variations, to many specific problems. Over 80 authors from around the globe contribute to the two volumes, including many leading experts in their respective subjects. They encompass topics from across the diverse field of bioinformatics through its broad scope, combining to provide an inter-disciplinary collaboration involving biologists, biochemists, physicists, mathematicians, statisticians and computer scientists.

by: Brian S. Thomson
publisher: CreateSpace Independent Publishing Platform, published: 2008-04-07
ASIN: 143484367X
EAN: 9781434843678
sales rank: 122187
This is the second edition of the text Elementary Real Analysis originally published by Prentice Hall (Pearson) in 2001. Chapter 1. Real Numbers Chapter 2. Sequences Chapter 3. Infinite sums Chapter 4. Sets of real numbers Chapter 5. Continuous functions Chapter 6. More on continuous functions and sets Chapter 7. Differentiation Chapter 8. The Integral Chapter 9. Sequences and series of functions Chapter 10. Power series Chapter 11. Euclidean Space R^n Chapter 12. Differentiation on R^n Chapter 13. Metric Spaces

by: Norman R. Draper
publisher: Wiley-Interscience, published: 1998-04-23
ASIN: 0471170828
EAN: 9780471170822
sales rank: 107400
An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables. This classic text, with its emphasis on clear, thorough presentation of concepts and applications, offers a complete, easily accessible introduction to the fundamentals of regression analysis. Assuming only a basic knowledge of elementary statistics, Applied Regression Analysis, Third Edition focuses on the fitting and checking of both linear and nonlinear regression models, using small and large data sets, with pocket calculators or computers. This Third Edition features separate chapters on multicollinearity, generalized linear models, mixture ingredients, geometry of regression, robust regression, and resampling procedures. Extensive support materials include sets of carefully designed exercises with full or partial solutions and a series of true/false questions with answers. All data sets used in both the text and the exercises can be found on the companion disk at the back of the book. For analysts, researchers, and students in university, industrial, and government courses on regression, this text is an excellent introduction to the subject and an efficient means of learning how to use a valuable analytical tool. It will also prove an invaluable reference resource for applied scientists and statisticians.

by: Michael M. Miyamoto
publisher: Oxford University Press, published: 1991-11-14
ASIN: 0195066987
EAN: 9780195066982
sales rank: 3715394
With increasing frequency, systematic and evolutionary biologists have turned to the techniques of molecular biology to complement their traditional morphological and anatomical approaches to questions of the historical relationship and descent among groups of animals and plants. In particular, the comparative analysis of DNA sequences is becoming a common and important focus of research attention today. The objective of this volume is to survey the emerging field of molecular systematics of DNA sequences, and to appraise the strengths and limitations of the different approaches yielded by these techniques. The contributors are an internationally recognized group of investigators from different schools and disciplines who critically address a diversity of crucial questions about DNA systematics, including DNA sequence data acquisition, phylogenetic inference, congruence and consensus problems, limitations of molecular data, and the integration of molecular and morphological data sets. The work will interest all botanists and zoologists involved in systematics, taxonomy, and evolution.

by: Samantha Gwinn
publisher: BookSurge Publishing, published: 2009-04-17
ASIN: 1439220425
EAN: 9781439220429
sales rank: 79532
Handbook for police crime analysts and prospective crime analysts, outlining the major skills and knowledge sets necessary to be successful in the profession, from fundamental knowledge to advanced mathematical and computer skills.
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