Bioinformatics
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- Название:Bioinformatics
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Bioinformatics: краткое содержание, описание и аннотация
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“This book is a gem to read and use in practice.”
— "This volume has a distinctive, special value as it offers an unrivalled level of details and unique expert insights from the leading computational biologists, including the very creators of popular bioinformatics tools."
— “A valuable survey of this fascinating field. . . I found it to be the most useful book on bioinformatics that I have seen and recommend it very highly.”
— “This should be on the bookshelf of every molecular biologist.”
— The field of bioinformatics is advancing at a remarkable rate. With the development of new analytical techniques that make use of the latest advances in machine learning and data science, today’s biologists are gaining fantastic new insights into the natural world’s most complex systems. These rapidly progressing innovations can, however, be difficult to keep pace with.
The expanded fourth edition of the best-selling
aims to remedy this by providing students and professionals alike with a comprehensive survey of the current field. Revised to reflect recent advances in computational biology, it offers practical instruction on the gathering, analysis, and interpretation of data, as well as explanations of the most powerful algorithms presently used for biological discovery.
offers the most readable, up-to-date, and thorough introduction to the field for biologists at all levels, covering both key concepts that have stood the test of time and the new and important developments driving this fast-moving discipline forwards.
This new edition features:
New chapters on metabolomics, population genetics, metagenomics and microbial community analysis, and translational bioinformatics A thorough treatment of statistical methods as applied to biological data Special topic boxes and appendices highlighting experimental strategies and advanced concepts Annotated reference lists, comprehensive lists of relevant web resources, and an extensive glossary of commonly used terms in bioinformatics, genomics, and proteomics
is an indispensable companion for researchers, instructors, and students of all levels in molecular biology and computational biology, as well as investigators involved in genomics, clinical research, proteomics, and related fields.
Bioinformatics — читать онлайн ознакомительный отрывок
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15 Chapter 15Figure 15.1 Principal components analysis (PCA) of nine world populations and ...Figure 15.2 The coalescent process. Although the ancestral population contains...Figure 15.3 Multiple sequentially Markovian coalescent (MSMC) estimate of popu...Figure 15.4 Admixture analysis of nine populations and three test samples. Ind...Figure 15.5 A Manhattan plot of Composite of Multiple Signals (CMS) scores ( Y -...
16 Chapter 16Figure 16.1 General workflow for DNA-based microbiome analysis.Figure 16.2 FastQC summary of DNA sequence read quality for an Illumina sequen...Figure 16.3 Primary structure and variable regions of the 16S ribosomal RNA ge...Figure 16.4 k -mer decomposition of a nucleotide sequence with k = 2. Two seque...Figure 16.5 Rarefaction curves for microbial communities sampled from six diff...Figure 16.6 Unweighted phylogenetic alpha- and beta-diversity measures. Left: ...Figure 16.7 Principal coordinate analysis (a) vs. non-metric multidimensional ...Figure 16.8 Visualizing the differences between two groups of gut microbiome s...
17 Chapter 17Figure 17.1 ClinVar entry for a benign variant in the cystic fibrosis gene ( CF ...Figure 17.2 Receiver operating characteristic (ROCs) curves of five submissi...
18 Chapter 18Figure 18.1 Relationships between observation, data, information, and knowledg...Figure 18.2 Types of variables and their hierarchical relationships.Figure 18.3 Organization of an example dataset. (a) Part of a two-dimensional ...Figure 18.4 Commonly used descriptive statistics for sample variables. Light b...Figure 18.5 Covariance versus correlation. The red sample has higher sample va...Figure 18.6 Example histogram demonstrating the frequency of black cherry tree...Figure 18.7 Example boxplot and related variant graphs. (a) Schematic diagram ...Figure 18.8 Anscombe's quartet. Scatterplots with regression lines for four fa...Figure 18.9 Scatterplot of the first two principal components (PCs) from princ...Figure 18.10 Example of how to make a graph descriptive.Figure 18.11 The standard normal distribution.Figure 18.12 Other well-described discrete and continuous distributions common...Figure 18.13 Bond length and coordination angle histograms for coordinated met...Figure 18.14 Overview of the process of statistical inference. FUV stands for ...Figure 18.15 Truth table with descriptions of type I and II errors.Figure 18.16 Diagram illustrating the relationships between a probability dens...Figure 18.17 Using a Student's t -test to test a null hypothesis.Figure 18.18 Relationship between population and sample mean distributions..Figure 18.19 An approximate power analysis diagram for a Student's t -test.
19 AppendicesFigure 6.A.1 Pseudo-computer code for the fill order of V ( i , j ) and W ( i , j ). Thi...Figure 6.A.2 The filled V ( i , j ) array for sequence GCGGGUACCGAUCGUCGC.Figure 6.A.3 The filled W ( i , j ) array for sequence GCGGGUACCGAUCGUCGC.Figure 6.A.4 Illustrations of maximum hydrogen bond conformations as found by ...Figure 6.A.5 Flowchart for structure traceback. Traceback starts by placing 1,...Figure 6.A.6 The secondary structure of rGCGGGUACCGAUCGUCGC with 17 hydrogen b...
Guide
1 Cover
2 Table of Contents
3 Begin Reading
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