Mathematica for Bioinformatics - George Mias

Mathematica for Bioinformatics

A Wolfram Language Approach to Omics

(Autor)

Buch | Softcover
XVI, 384 Seiten
2018 | 1. Softcover reprint of the original 1st ed. 2018
Springer International Publishing (Verlag)
978-3-030-10192-3 (ISBN)
192,59 inkl. MwSt

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.

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.

Erscheinungsdatum
Zusatzinfo XVI, 384 p. 175 illus., 156 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 611 g
Themenwelt Informatik Weitere Themen Bioinformatik
Mathematik / Informatik Mathematik
Studium 2. Studienabschnitt (Klinik) Humangenetik
Naturwissenschaften Biologie
Schlagworte Bioinformatics • Computational Biology • Data Mining • Mathematica • Metabolomics • microarrays • omics technologies • systems biology
ISBN-10 3-030-10192-4 / 3030101924
ISBN-13 978-3-030-10192-3 / 9783030101923
Zustand Neuware
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