Human genome analysis system

Nature ◽  
1991 ◽  
Vol 352 (6330) ◽  
pp. 89-90 ◽  
Author(s):  
Isao Endo ◽  
Eiichi Soeda ◽  
Yasubumi Murakami ◽  
Katsuo Nishi
Keyword(s):  
Human Genome ◽  
Genome Analysis ◽  
Analysis System

Comparative genome analysis with the human genome reveals chicken genes associated with fatness and body weight

2011 ◽  
Vol 42 (6) ◽  
pp. 642-649 ◽  
Author(s):  
T. Twito ◽  
D. Madeleine ◽  
R. Perl-Treves ◽  
J. Hillel ◽  
U. Lavi
Keyword(s):  
Body Weight ◽  
Human Genome ◽  
Genome Analysis ◽  
Comparative Genome Analysis ◽  
Comparative Genome

DNA Mapping and Human Genome Analysis

2012 ◽  
pp. 197-215
Author(s):  
James N. Jr Thompson ◽  
Jenna J. Hellack ◽  
Gerald Braver ◽  
David S. Durica
Keyword(s):  
Human Genome ◽  
Genome Analysis ◽  
Dna Mapping

Ethics of human genome analysis: some virtues and vices

1996 ◽  
pp. 274-294 ◽  
Author(s):  
Janice Wood-Harper ◽  
John Harris
Keyword(s):  
Human Genome ◽  
Genome Analysis

scholarly journals Barcode Server: A Visualization-Based Genome Analysis System

PLoS ONE ◽  
2013 ◽  
Vol 8 (2) ◽  
pp. e56726
Author(s):  
Fenglou Mao ◽  
Victor Olman ◽  
Yan Wang ◽  
Ying Xu
Keyword(s):  
Genome Analysis ◽  
Analysis System

scholarly journals Personalized Medicine in the Era of Genomics

2017 ◽  
pp. 297-327
Author(s):  
Navneet Kaur Soni ◽  
Nitin Thukral ◽  
Yasha Hasija
Keyword(s):  
Clinical Practice ◽  
Personalized Medicine ◽  
Environmental Factors ◽  
Human Genome ◽  
High Throughput ◽  
Genome Analysis ◽  
Human Genome Project ◽  
Clinical Information ◽  
Genome Project ◽  
Genetic Makeup

Personalized medicine is a model that aims at customizing healthcare and tailoring medicine according to an individual`s genetic makeup. It classifies individuals that differ in their susceptibility to a particular disease or response to a particular treatment into subpopulations based on individual's unique genetic and clinical information along with environmental factors. The completion of Human Genome Project and the advent of high-throughput genome analysis tools has helped in building and strengthening this model. There lies a huge potential in the implementation of personalized medicine to significantly improve the clinical outcomes; however, its implementation into clinical practice remains slow and is a matter of concern. This chapter aims at acquainting readers with the underlying concepts and components of personalized medicine supplemented with some disease-based case studies, discussing challenges and recent advancements in the implementation of the model of personalized medicine.

scholarly journals The most common technologies and tools for functional genome analysis

2017 ◽  
Vol 24 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Evelina Gasperskaja ◽  
Vaidutis Kučinskas
Keyword(s):  
Functional Analysis ◽  
Human Genome ◽  
Genome Analysis ◽  
Bioinformatic Analysis ◽  
Genome Wide ◽  
Polymerase Chain ◽  
Scientific Results ◽  
The Right ◽  
Generation Sequencing ◽  
Functional Genome

Since the  sequence of the  human genome is complete, the  main issue is how to understand the information written in the DNA sequence. Despite numerous genome-wide studies that have already been performed, the challenge to determine the function of genes, gene products, and also their interaction is still open. As changes in the human genome are highly likely to cause pathological conditions, functional analysis is vitally important for human health. For many years there have been a  variety of technologies and tools used in functional genome analysis. However, only in the  past decade there has been rapid revolutionizing progress and improvement in high-throughput methods, which are ranging from traditional real-time polymerase chain reaction to more complex systems, such as next-generation sequencing or mass spectrometry. Furthermore, not only laboratory investigation, but also accurate bioinformatic analysis is required for reliable scientific results. These methods give an opportunity for accurate and comprehensive functional analysis that involves various fields of studies: genomics, epigenomics, proteomics, and interactomics. This is essential for filling the  gaps in the  knowledge about dynamic biological processes at both cellular and organismal level. However, each method has both advantages and limitations that should be taken into account before choosing the right method for particular research in order to ensure successful study. For this reason, the present review paper aims to describe the most frequent and widely-used methods for the comprehensive functional analysis.

Personalized Medicine in the Era of Genomics

2016 ◽  
pp. 296-327 ◽  
Author(s):  
Navneet Kaur Soni ◽  
Nitin Thukral ◽  
Yasha Hasija
Keyword(s):  
Clinical Practice ◽  
Personalized Medicine ◽  
Environmental Factors ◽  
Human Genome ◽  
High Throughput ◽  
Genome Analysis ◽  
Human Genome Project ◽  
Clinical Information ◽  
Genome Project ◽  
Genetic Makeup

Personalized medicine is a model that aims at customizing healthcare and tailoring medicine according to an individual`s genetic makeup. It classifies individuals that differ in their susceptibility to a particular disease or response to a particular treatment into subpopulations based on individual's unique genetic and clinical information along with environmental factors. The completion of Human Genome Project and the advent of high-throughput genome analysis tools has helped in building and strengthening this model. There lies a huge potential in the implementation of personalized medicine to significantly improve the clinical outcomes; however, its implementation into clinical practice remains slow and is a matter of concern. This chapter aims at acquainting readers with the underlying concepts and components of personalized medicine supplemented with some disease-based case studies, discussing challenges and recent advancements in the implementation of the model of personalized medicine.

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