© 2018

Mathematica for Bioinformatics

A Wolfram Language Approach to Omics


Table of contents

  1. Front Matter
    Pages i-xvi
  2. George Mias
    Pages 67-132
  3. George Mias
    Pages 171-192
  4. George Mias
    Pages 193-226
  5. George Mias
    Pages 227-250
  6. George Mias
    Pages 251-282
  7. George Mias
    Pages 283-296
  8. George Mias
    Pages 297-328
  9. George Mias
    Pages 329-373
  10. Back Matter
    Pages 381-384

About this book


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.


Mathematica OMICs Technologies Computational Biology Data Mining Bioinformatics

Authors and affiliations

  1. 1.Department of Biochemistry and Molecular Biology, Institute for Quantitative Health Science and EngineeringMichigan State UniversityEast LansingUSA

Bibliographic information