£141.86

Springer Mathematica for Bioinformatics - Wolfram Language Book

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Description

Master the essentials of bioinformatics using the powerful Wolfram Language with this comprehensive guide from Springer. This book provides a structured learning path, starting with fundamental coding paradigms in Mathematica and moving into complex research applications. Readers can transition from basic sequence analysis to advanced computational tasks. The text includes detailed, worked examples that reflect real-world research scenarios. You will learn how to access genomic databases, perform differential gene expression analysis, and implement machine learning models. Beyond basic analysis, the content covers sophisticated methods such as time series analysis for longitudinal omics experiments and multi-omics integration. It even explores building dynamic models, making it an essential resource for researchers and students looking to leverage Mathematica for modern biological data science.

Key Features

Step-by-step learning that builds from basic Mathematica coding paradigms to advanced bioinformatics applications.

Practical research applications through detailed worked examples using real Wolfram Language code.

Comprehensive coverage of sequence analysis and direct methods for accessing genomic databases.

Advanced analytical techniques including differential gene expression and machine learning implementations.

Specialized methods for longitudinal studies using time series analysis of omics experiments.

Methods for multi-omics integration and the development of dynamic biological models.

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
03 April 2018
Listed Since
09 November 2017

Barcode

No barcode data available

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