IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Genetic Data Analysis

Genetic Data Analysis
View Sample PDF
Author(s): M. Shamila (Malla Reddy Engineering College, India)and Amit Kumar Tyagi (National Institute of Fashion Technology, New Delhi, India)
Copyright: 2024
Pages: 15
Source title: Research Anthology on Bioinformatics, Genomics, and Computational Biology
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/979-8-3693-3026-5.ch034

Purchase

View Genetic Data Analysis on the publisher's website for pricing and purchasing information.

Abstract

Genome-wide association studies (GWAS) or genetic data analysis is used to discover common genetic factors which influence the health of human beings and become a part of a disease. The concept of using genomics has increased in recent years, especially in e-healthcare. Today there is huge improvement required in this field or genomics. Note that the terms genomics and genetics are not similar terms here. Basically, the human genome is made up of DNA, which consists of four different chemical building blocks (called bases and abbreviated A, T, C, and G). Based on this, we differentiate each and every human being living on earth. The term ‘genetics' originated from the Greek word ‘genetikos'. It means ‘origin'. In simple terms, genetics can be defined as a branch of biology, which deals with the study of the functionalities and composition of a single gene in an organism. There are mainly three branches of genetics, which include classical genetics, molecular genetics, and population genetics.

Related Content

Linkon Chowdhury, Md Sarwar Kamal, Shamim H. Ripon, Sazia Parvin, Omar Khadeer Hussain, Amira Ashour, Bristy Roy Chowdhury. © 2024. 20 pages.
Mousomi Roy. © 2024. 21 pages.
Nassima Dif, Zakaria Elberrichi. © 2024. 20 pages.
Pyingkodi Maran, Shanthi S., Thenmozhi K., Hemalatha D., Nanthini K.. © 2024. 16 pages.
Mohamed Nadjib Boufenara, Mahmoud Boufaida, Mohamed Lamine Berkane. © 2024. 16 pages.
Meroua Daoudi, Souham Meshoul, Samia Boucherkha. © 2024. 25 pages.
Zhongyu Lu, Qiang Xu, Murad Al-Rajab, Lamogha Chiazor. © 2024. 56 pages.
Body Bottom