Bioinformatics / T. Charlie Hodgman, Andrew French and David R. Westhead.

Format:

Book

Author/Creator:

Hodgman, T. Charlie.

Contributor:

French, Andrew.

Westhead, David R.

Series:

BIOS instant notes

Language:

English

Subjects (All):

Bioinformatics.

Computational Biology.

Medical Subjects:

Computational Biology.

Physical Description:

x, 340 pages : illustrations ; 25 cm.

Edition:

Second edition.

Place of Publication:

[Milton Park, Abingdon [Oxon] ; [New York] : Taylor & Francis, [2010]

Summary:

The second edition of Instant Notes in Bioinformatics illustrates how bioinformatics can be applied by all informatics students to most aspects of the life sciences.

The BIOS Instant Notes series provides concise coverage of each subject, offering easy access to the most essential information in the field. Each book…

focuses on core material

enables the reader to grasp the subject quickly and easily

offers a structured approach to learning

contains clear and simple illustrations.

For a complete list of books in the BIOS Instant Notes series, please see page ii.

Contents:

Section A The changing face of research biology 1

Section B Definitions of bioinfonnatics 7

Section C Essentials of physics 13

Section D Data and databases 19

Section E Data categories 29

E1 Data categories 29

E2 Best practice for data representation in bioinformatics 34

Section F Computation 37

Section G Probability and statistics 49

G1 Probability and probability distributions 49

G2 Conditional probability and Bayes' rule 56

G3 Elementary statistical testing 61

Section H Modeling and mathematical techniques 69

H1 System features 69

H2 Graph theory and its applications 72

H3 Ordinary differential equations and algebra 79

H4 Advanced modeling techniques 83

H5 Shape, deformation, and growth 86

Section I Artificial intelligence and machine learning 89

11 Introduction to artificial intelligence and machine learning 89

12 Statistical approaches to artificial intelligence and machine learning 91

13 Computation approaches to artificial intelligence and machine learning 99

Section J Genomes and other sequences 107

J1 Databases and data sources 107

J2 Genome annotation 131

J3 Sequence analysis 139

J4 Sequence families, alignment, and phylogeny 160

J5 Domain families and databases 173

Section K Transcriptomics 181

K1 Transcript profiling 181

K2 Statistical issues for transcriptome analysis 185

K3 Analyzing differential gene expression 187

K4 Multivariate techniques and network inference 194

K5 Data standards and experimental design 199

Section L Proteins and proteomics 203

L1 Proteomics techniques 203

L2 Interaction proteomics 213

13 Interaction databases and networks 217

L4 Structural bioinformatics 221

L5 Structural classifications 241

L6 Structure prediction and modeling 245

L7 Molecular dynamics and drug design 259

Section M Metabolomics 267

Section N Supramolecular organization 271

N1 Supramolecular organization 271

N2 Tissue- and organism-scale organization 273

Section O Biochemical dynamics 275

O1 Network studies of metabolism 275

O2 Use of calculus and algebra 283

Section P Physiology 289

P1 Physiology 289

P2 Integrative biology and plant modeling 293

P3 Integrative biology - conclusions 296

Section Q Image analysis 299

Q1 What is image analysis? 299

Q2 How is image analysis used in bioscience research? 304

Q3 Image enhancement 311

Q4 Feature detection 315

Q5 Data extraction 319

Section R Textual analysis 323.

Notes:

Includes bibliographical references and index.

ISBN:

9780415394949

0415394945

OCLC:

421534587