Statistics at the Bench

Author: Martina Bremer
Publisher:
ISBN:
Format: PDF, ePub, Docs
Download Now
Statistics at the Bench is a convenient bench-side companion for biologists, designed as a handy reference guide for elementary and intermediate statistical analyses. The expectations for biologists to have a more complete understanding of statistics are growing rapidly. New technologies and new areas of science, such as microarrays, next-generation sequencing, and proteomics, have dramatically increased the need for quantitative reasoning among biologists when designing experiments and interpreting results. Even the most routine informatics tools rely on statistical assumptions and methods that need to be appreciated if the scientific results are to be correct, understood, and exploited fully. This book is not a textbook. It is an essential handbook for working scientists. Statistics at the Bench provides a simple refresher for those who have forgotten what they once knew, and an overview for those wishing to use more quantitative reasoning in their research. Statistical methods, as well as guidelines for the interpretation of results, are explained using simple examples. Throughout the book, examples are accompanied by detailed Excel commands for easy reference.

Lab Math

Author: Dany Spencer Adams
Publisher: CSHL Press
ISBN: 9780879696344
Format: PDF, ePub, Docs
Download Now
Work at the biology bench requires an ever-increasing knowledge of mathematical methods and formulae. In Lab Math,Dany Spencer Adams has compiled the most common mathematical concepts and methods in molecular biology, and provided clear, straightforward guidance on their application to research investigations. Subjects range from basics such as scientific notation and measuring and making solutions, to more complex activities like quantifying and designing nucleic acids and analyzing protein activity. Tips on how to present mathematical data and statistical analysis are included. A reference section features useful tables, conversion charts and “plug and chug” equations for experimental procedures. This volume is an excellent, structured source of information that in many laboratories is often scattered and informally organized.

Bioinformatics Data Skills

Author: Vince Buffalo
Publisher: "O'Reilly Media, Inc."
ISBN: 1449367518
Format: PDF, ePub, Docs
Download Now
Learn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings. With this practical guide, you’ll learn how to use freely available open source tools to extract meaning from large complex biological data sets. At no other point in human history has our ability to understand life’s complexities been so dependent on our skills to work with and analyze data. This intermediate-level book teaches the general computational and data skills you need to analyze biological data. If you have experience with a scripting language like Python, you’re ready to get started. Go from handling small problems with messy scripts to tackling large problems with clever methods and tools Process bioinformatics data with powerful Unix pipelines and data tools Learn how to use exploratory data analysis techniques in the R language Use efficient methods to work with genomic range data and range operations Work with common genomics data file formats like FASTA, FASTQ, SAM, and BAM Manage your bioinformatics project with the Git version control system Tackle tedious data processing tasks with with Bash scripts and Makefiles

Physical Biology of the Cell

Author: Rob Phillips
Publisher: Garland Science
ISBN: 1134111584
Format: PDF, Mobi
Download Now
Physical Biology of the Cell is a textbook for a first course in physical biology or biophysics for undergraduate or graduate students. It maps the huge and complex landscape of cell and molecular biology from the distinct perspective of physical biology. As a key organizing principle, the proximity of topics is based on the physical concepts that unite a given set of biological phenomena. Herein lies the central premise: that the appropriate application of a few fundamental physical models can serve as the foundation of whole bodies of quantitative biological intuition, useful across a wide range of biological problems. The Second Edition features full-color illustrations throughout, two new chapters, a significantly expanded set of end-of-chapter problems, and is available in a variety of e-book formats.

Beginning Perl for Bioinformatics

Author: James Tisdall
Publisher: "O'Reilly Media, Inc."
ISBN: 9780596550479
Format: PDF
Download Now
With its highly developed capacity to detect patterns in data, Perl has become one of the most popular languages for biological data analysis. But if you're a biologist with little or no programming experience, starting out in Perl can be a challenge. Many biologists have a difficult time learning how to apply the language to bioinformatics. The most popular Perl programming books are often too theoretical and too focused on computer science for a non-programming biologist who needs to solve very specific problems.Beginning Perl for Bioinformatics is designed to get you quickly over the Perl language barrier by approaching programming as an important new laboratory skill, revealing Perl programs and techniques that are immediately useful in the lab. Each chapter focuses on solving a particular bioinformatics problem or class of problems, starting with the simplest and increasing in complexity as the book progresses. Each chapter includes programming exercises and teaches bioinformatics by showing and modifying programs that deal with various kinds of practical biological problems. By the end of the book you'll have a solid understanding of Perl basics, a collection of programs for such tasks as parsing BLAST and GenBank, and the skills to take on more advanced bioinformatics programming. Some of the later chapters focus in greater detail on specific bioinformatics topics. This book is suitable for use as a classroom textbook, for self-study, and as a reference.The book covers: Programming basics and working with DNA sequences and strings Debugging your code Simulating gene mutations using random number generators Regular expressions and finding motifs in data Arrays, hashes, and relational databases Regular expressions and restriction maps Using Perl to parse PDB records, annotations in GenBank, and BLAST output

At the Bench

Author: Kathy Barker
Publisher: CSHL Press
ISBN: 9780879697082
Format: PDF, Docs
Download Now
A clue hidden in a toy ship leads Tintin on a dangerous treasure hunt.

Structural Equation Modeling and Natural Systems

Author: James B. Grace
Publisher: Cambridge University Press
ISBN: 1139457845
Format: PDF, Kindle
Download Now
This book, first published in 2006, presents an introduction to the methodology of structural equation modeling, illustrates its use, and goes on to argue that it has revolutionary implications for the study of natural systems. A major theme of this book is that we have, up to this point, attempted to study systems primarily using methods (such as the univariate model) that were designed only for considering individual processes. Understanding systems requires the capacity to examine simultaneous influences and responses. Structural equation modeling (SEM) has such capabilities. It also possesses many other traits that add strength to its utility as a means of making scientific progress. In light of the capabilities of SEM, it can be argued that much of ecological theory is currently locked in an immature state that impairs its relevance. It is further argued that the principles of SEM are capable of leading to the development and evaluation of multivariate theories of the sort vitally needed for the conservation of natural systems.

Systemic Approaches in Bioinformatics and Computational Systems Biology Recent Advances

Author: Lecca, Paola
Publisher: IGI Global
ISBN: 1613504365
Format: PDF, ePub, Docs
Download Now
The convergence of biology and computer science was initially motivated by the need to organize and process a growing number of biological observations resulting from rapid advances in experimental techniques. Today, however, close collaboration between biologists, biochemists, medical researchers, and computer scientists has also generated remarkable benefits for the field of computer science. Systemic Approaches in Bioinformatics and Computational Systems Biology: Recent Advances presents new techniques that have resulted from the application of computer science methods to the organization and interpretation of biological data. The book covers three subject areas: bioinformatics, computational biology, and computational systems biology. It focuses on recent, systemic approaches in computer science and mathematics that have been used to model, simulate, and more generally, experiment with biological phenomena at any scale.

General Techniques of Cell Culture

Author: Maureen A. Harrison
Publisher: Cambridge University Press
ISBN: 9780521574969
Format: PDF, ePub, Mobi
Download Now
Concise introduction to a major technique of cell biology laboratories for those new to the field.

Experimental Design for Biologists

Author: David J. Glass
Publisher: CSHL Press
ISBN: 0879697350
Format: PDF, ePub
Download Now
Experimental Design for Biologists explains how to establish the framework for an experimental project, including the effects of using a hypothesis–driven approach versus a question/answer approach, 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 the negative control, the positive control, and other categories of controls which are perhaps less recognized, such as “assumption controls”, and “experimentalist controls.” Further, there are sections on establishing the experimental system, which includes performing critical “system controls”. While the book does reference the use of statistics, statistics is not the focus of this book, but rather the way the scientist should go about framing an experimental question, establishing a validated system to answer the question, and deriving verifiable models from experimental data. There is often very little formal training in this area for biologists; therefore this text serves as an essential teaching tool for understanding the theory and practice of designing a research plan.