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Soft Computing for Biological Systems

This book explains how the biological systems and their functions are driven by genetic information stored in the DNA, and their expression driven by different factors. The soft computing approach recognizes the different patterns in DNA sequence and try to assign the biological relevance with avail...

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Bibliographic Details
Other Authors: Purohit, Hemant J. (Editor), Kalia, Vipin Chandra (Editor), More, Ravi Prabhakar (Editor)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2018, 2018
Edition:1st ed. 2018
Subjects:
Bioinformatics
Medical Genetics
Molecular Genetics
Computational And Systems Biology
Biotechnology
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Description
Summary:This book explains how the biological systems and their functions are driven by genetic information stored in the DNA, and their expression driven by different factors. The soft computing approach recognizes the different patterns in DNA sequence and try to assign the biological relevance with available information.The book also focuses on using the soft-computing approach to predict protein-protein interactions, gene expression and networks. The insights from these studies can be used in metagenomic data analysis and predicting artificial neural networks
Physical Description:XII, 300 p. 43 illus., 31 illus. in color online resource
ISBN:9789811074554

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