Bioinformatics, System Biology and Big Data Analysis: Emerging Trends | Bioinformatics, System Biology and Big Data Analysis

Neetu Jabalia (u. a.)

ISBN 10: 6139454875 / ISBN 13: 9786139454877

Published by LAP LAMBERT Academic Publishing, 2020

About this Item

Bioinformatics, System Biology and Big Data Analysis: Emerging Trends | Bioinformatics, System Biology and Big Data Analysis | Neetu Jabalia (u. a.) | Taschenbuch | 60 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786139454877 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 118453526

Bibliographic Details

• Title: Bioinformatics, System Biology and Big Data Analysis: Emerging Trends | Bioinformatics, System Biology and Big Data Analysis
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2020
• Language: English
• ISBN 10: 6139454875
• ISBN 13: 9786139454877
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 107 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Biological Data is the thread that links three rapidly emerging fields of science i.e. Bioinformatics, System biology and Big Data, being used to understand and improve the quality of human life. The dataset ranges from the DNA sequence of an organism to gene expression levels and finally to signalling pathways. This monograph presents the interdependency of bioinformatics, System biology and Big Data, their methods, applications and future directions and challenges. Bioinformatics resources enable the study global features of a biological system that can be used for development of novel therapeutics. These biological models are simulations of mathematical and computational algorithms. Vertical-omics encompasses multiple types of omics technologies such as Genomics, Proteomics, Trancriptomics, Metabolomics and Microbiomics that are done at the molecular level to identify the aetiology of diseases and effective drug targets. The results of these experimental and computational studies yield colossal high throughput data which has to be stored, integrated, processed and visualised.