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Mathematica for Bioinformatics, Mias


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Автор: Mias
Название:  Mathematica for Bioinformatics
ISBN: 9783319723761
Издательство: Springer
Классификация:


ISBN-10: 3319723766
Обложка/Формат: Hardcover
Страницы: 384
Вес: 7.21 кг.
Дата издания: 2018
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 120 tables, color; 156 illustrations, color; 19 illustrations, black and white; xvi, 384 p. 175 illus., 156 illus. in color.
Размер: 166 x 241 x 24
Читательская аудитория: General (us: trade)
Основная тема: Computer Appl. in Life Sciences
Подзаголовок: A Wolfram Language Approach to Omics
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание:

1 Introduction to Bioinformatics

1.1 Principles of Genomics

1.2 Beyond the Genomes: Multiple Omics

1.3 Systems and Networks

1.4 Bioinformatics in modern genetics

2. A Mathematica Primer for Bioinformaticians

2.1 Getting Started

2.2 Variables

2.3 Lists

2.4 Functions

2.4 Importing and Exporting Data

2.5 Graphics

2.6 Associations and Query

2.7 Wolfram Alpha

2.8 Wolfram Language Resources

3. Statistics for Genomic Analysis

3.1 Probability

3.2 Distributions

3.3 Hypotheses

3.4 Parametric Testing

3.5 Non-parametric Testing

3.6 Markov Chains

3.7 Exploratory Data Analysis

4. Genomic Sequences

4.1 Sequence Alignments

4.2 Pairwise Alignment

4.3 Dynamic Programming

4.4 Processing Sequencing Files

5. Databases

5.1 Connecting to Databases

5.2 UCSC Browser and MySQL

5.3 Gene Ontology Annotations

5.4 Biological Pathways

5.5 Genomic Medicine Data Sources

6. Transcriptomics

6.1 Transcriptomic Data

6.2 Quality Control

6.3 Normalization

6.4 Differential Gene Expression

6.5 Visualization

6.6 Classification and Biological Significance

7. Proteomics

7.1 Proteomics Data

7.2 Spectral Visualization

7.3 Quality Control

7.4 Normalization

7.5 Differential Protein Expression

7.6 Visualization

8. Metabolomics

8.1 Metabolomics Data

8.2 Metabolomics Databases

8.3 Metabolomics Data Analysis

8.4 Putative Identification of Compounds

8.5 Clustering and Principal Co

mponents Analysis

9. Systems Biology

9.1 Introduction to Systems Biology

9.2 Basic Models

9.3 Visualization of Data

9.4 Beyond Basic Models

10. Networks

10.1 Introduction to Network Analysis

10.2 Basic Network Construction

10.3 Network Properties

10.4 Network Comparison

10.5 Scale Free Networks

11. Time Series Analysis

11.1 Introduction to Time Series

11.2 Regularly Sampled Time Series

11.3 Frequency Representation of Longitudinal Data

11.4 Uneven Sampling

12. Omics Integration and Systems Medicine

12.1 Introduction to Multiple Omics Integration

12.2 Systems Medicine Approaches

12.3 Example Integration of Omics Datasets

13. Bioinformatics Development with Mathematica

13.1 Introduction to Pa

ckages

13.2 Creating a Simple Bioinformatics Package

13.3 Dynamics, Manipulate and Interactive Interfaces


Дополнительное описание: 1 Introduction to Bioinformatics.- 2. A Mathematica Primer for Bioinformaticians.- 3. Statistics for Genomic Analysis.- 4. Genomic Sequences.- 5. Databases.- 6. Transcriptomics.- 7. Proteomics.- 8. Metabolomics.- 9. Systems Biology.- 10. Networks.- 11. Ti



Mathematical Biology I. An Introduction

Автор: Murray, James D.
Название: Mathematical Biology I. An Introduction
ISBN: 1475777094 ISBN-13(EAN): 9781475777093
Издательство: Springer
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Цена: 8537.00 р.
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Описание: Providing an in-depth look at the practical use of math modeling, it features exercises throughout that are drawn from a variety of bioscientific disciplines - population biology, developmental biology, physiology, epidemiology, and evolution, among others.

Elements of Mathematical Ecology

Автор: Kot, Mark,
Название: Elements of Mathematical Ecology
ISBN: 0521001501 ISBN-13(EAN): 9780521001502
Издательство: Cambridge Academ
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Цена: 13779.00 р.
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Описание: An introduction to classical and modern mathematical models, methods, and issues in population ecology. Includes numerous line diagrams, relevant problems and supplementary mathematical and historical material that enhances understanding.

Illustrating Finance Policy with Mathematica

Автор: Nicholas L. Georgakopoulos
Название: Illustrating Finance Policy with Mathematica
ISBN: 3030070220 ISBN-13(EAN): 9783030070229
Издательство: Springer
Рейтинг:
Цена: 10366.00 р.
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Описание: Students in various disciplines—from law and government to business and health policy—need to understand several quantitative aspects of finance (such as the capital asset pricing model or financial options) and policy analysis (e.g., assessing the weight of probabilistic evidence) but often have little quantitative background. This book illustrates those phenomena and explains how to illustrate them using the powerful visuals that computing can produce. Of particular interest to graduate students and scholars in need of sharper quantitative methods, this book introduces the reader to Mathematica, enables readers to use Mathematica to produce their own illustrations, and places specific emphasis on finance and policy as well as the foundations of probability theory.

Principles of Computational Cell Biology

Автор: Helms, Volkhard
Название: Principles of Computational Cell Biology
ISBN: 3527333584 ISBN-13(EAN): 9783527333585
Издательство: Wiley
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Цена: 11880.00 р.
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Описание: This successful text, now in its 2nd ed. , provides an ideal introduction into the possibilities of modeling on a cell biology level. It extends the strengths of the first edition even further while keeping faithful to the trusted hands-on concept and keeping math to the minimum.

Theory and Mathematical Methods in Bioinformatics

Автор: Shiyi Shen
Название: Theory and Mathematical Methods in Bioinformatics
ISBN: 3642094295 ISBN-13(EAN): 9783642094293
Издательство: Springer
Рейтинг:
Цена: 20516.00 р.
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Описание: This monograph addresses, in a systematic and pedagogical manner, the mathematical methods and the algorithms required to deal with the molecularly based problems of bioinformatics.

Mathematical Modeling of Biological Systems, Volume II Epidemiology, Evolution and Ecology, Immunology, Neural Systems and the Brain, and Innovative Mathematical Methods

Автор: Deutsch, A.; Bravo de la Parra, R.; de Boer, R.J.; Diekmann, O.; Jagers, P.; Kisdi, E.; Kretzschmar, M.; Lansky, P.; Metz, H. (Eds.)
Название: Mathematical Modeling of Biological Systems, Volume II Epidemiology, Evolution and Ecology, Immunology, Neural Systems and the Brain, and Innovative Mathematical Methods
ISBN: 0817645551 ISBN-13(EAN): 9780817645557
Издательство: Springer
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Цена: 15855.00 р.
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Описание: Presents a broad range of topics in the field of mathematical modeling in the biological sciences. This work examines the central problems in the life sciences, ranging from the organizational principles of individual cells to the dynamics of large populations.

The Mathematical Brain Across the Lifespan,227

Автор: Marinella Cappelletti
Название: The Mathematical Brain Across the Lifespan,227
ISBN: 0444636986 ISBN-13(EAN): 9780444636980
Издательство: Elsevier Science
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Цена: 33518.00 р.
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Описание:

"The Mathematical Brain Across the Lifespan "is the latest volume in the" Progress in Brain Research" series that focuses on new trends and developments. This established international series examines major areas of basic and clinical research within the neurosciences, as well as popular and emerging subfields.
Explores new trends and developmentsEnhances the literature of neuroscience by further expanding the established, ongoing international series "Progress in Brain Research"

Mathematical Approaches to Biological Systems

Автор: Toru Ohira; Tohru Uzawa
Название: Mathematical Approaches to Biological Systems
ISBN: 4431554432 ISBN-13(EAN): 9784431554431
Издательство: Springer
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Цена: 17074.00 р.
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Описание: This book presents the most recent mathematical approaches to the growing research area of networks, oscillations, and collective motions in the context of biological systems. Bringing together the results of multiple studies of different biological systems, this book sheds light on the relations among these research themes. Included in this book are the following topics: feedback systems with time delay and threshold of sensing (dead zone), robustness of biological networks from the point of view of dynamical systems, the hardware-oriented neuron modeling approach, a universal mechanism governing the entrainment limit under weak forcing, the robustness mechanism of open complex systems, situation-dependent switching of the cues primarily relied on by foraging ants, and group chase and escape. Research on different biological systems is presented together, not separated by specializations or by model systems. Therefore, the book provides diverse perspectives at the forefront of current mathematical research on biological systems, especially focused on networks, oscillations, and collective motions. This work is aimed at advanced undergraduate, graduate, and postdoctoral students, as well as scientists and engineers. It will also be of great use for professionals in industries and service sectors owing to the applicability of topics such as networks and synchronizations.


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