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Mathematica for Bioinformatics : A Wolfram Language Approach to Omics / by George Mias.
- Format:
- Book
- Author/Creator:
- Mias, George, author.
- Language:
- English
- Subjects (All):
- Life sciences.
- Microarrays.
- Bioinformatics.
- Systems biology.
- Biometry.
- Metabolism.
- Computational biology.
- Life Sciences.
- Computer Appl. in Life Sciences.
- Metabolomics.
- Systems Biology.
- Computational Biology/Bioinformatics.
- Biostatistics.
- Local Subjects:
- Life Sciences.
- Computer Appl. in Life Sciences.
- Metabolomics.
- Microarrays.
- Systems Biology.
- Computational Biology/Bioinformatics.
- Biostatistics.
- Physical Description:
- 1 online resource (XVI, 384 pages) : 175 illustrations, 156 illustrations in color
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2018.
- System Details:
- text file PDF
- Summary:
- 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, and differential gene expression, 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 include the Wolfram Language.
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 9783319723778
- Access Restriction:
- Restricted for use by site license.
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