Mathematica for Bioinformatics: A Wolfram Language Approach to Omics
Author:   George Mias
Publisher:   Springer Nature Switzerland AG
Edition:   Softcover reprint of the original 1st ed. 2018
ISBN:  

9783030101923


Pages:   384
Publication Date:   19 December 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Mathematica for Bioinformatics: A Wolfram Language Approach to Omics


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Overview

This book offers a comprehensive introduction to using Mathematica and the Wolfram Language for Bioinformatics. The chapters build gradually from basic concepts and the introduction of the Wolfram Language and coding paradigms in Mathematica, to detailed worked examples derived from typical research applications using Wolfram Language code. The coding examples range from basic sequence analysis, accessing genomic databases, differential gene expression, and machine learning implementations to time series analysis of longitudinal omics experiments, multi-omics integration and building dynamic interactive bioinformatics tools using the Wolfram Language. The topics address the daily bioinformatics needs of a broad audience: experimental users looking to understand and visualize their data, beginner bioinformaticians acquiring coding expertise in providing biological research solutions, and practicing expert bioinformaticians working on omics who wish to expand their toolset to includethe Wolfram Language.

Full Product Details

Author:   George Mias
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   Softcover reprint of the original 1st ed. 2018
Weight:   0.611kg
ISBN:  

9783030101923


ISBN 10:   3030101924
Pages:   384
Publication Date:   19 December 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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. Time Series Analysis.- 12. Omics Integration and Systems Medicine.- 13. Bioinformatics Development with Mathematica.

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