alexa Microarray Analysis of Differentially Expressed Genes Between Diabetes vs Healthy
ISSN: 0974-276X

Journal of Proteomics & Bioinformatics
Open Access

Like us on:
OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Proceedings

Microarray Analysis of Differentially Expressed Genes Between Diabetes vs Healthy

Allam Appa Rao, Shyambabu M, Srinubabu Gedela*
Corresponding Author : Dr. Srinubabu Gedela
Phone: +91-891-2844204,
Fax: +91-891-2747969,
Email: [email protected]
Received April 20, 2008; Accepted May 15, 2008; Published May 25, 2008
Citation: Allam AR, Shyambabu M, Srinubabu G (2008) Microarray Analysis of Differentially Expressed Genes Between Diabetes vs Healthy. J Proteomics Bioinform S1:S055-S084. doi:10.4172/jpb.s1000010
Copyright: © 2008 Allam AR, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Related article at
DownloadPubmed DownloadScholar Google
 

Abstract

The expression profiling of diabetes vs. healthy is a method of identifying genes potentially involved in the pathogenic process. Microarray analysis enable one to determine the relative level of expression of practically all genes in a genome, allowing the prediction of cellular plans for protein synthesis to be established. We therefore took the approach of using microarray analysis to provide a list of genes that are differentially expressed between diabetes vs. healthy. Statistical methodologies are employed for interpretation of microarray results. The present paper discusses the introduction to microarray analysis and statistical methods along with the application of our present study on differentially expressed genes of diabetes vs healthy.

Share This Page

Additional Info

Loading
Loading Please wait..
 
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri, Food, Aqua and Veterinary Science Journals

Dr. Krish

[email protected]

1-702-714-7001 Extn: 9040

Clinical and Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

[email protected]

1-702-714-7001Extn: 9042

Chemical Engineering and Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001 Extn: 9040

Earth & Environmental Sciences

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

General Science and Health care Journals

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics and Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001 Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Informatics Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Material Sciences Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Mathematics and Physics Journals

Jim Willison

[email protected]

1-702-714-7001 Extn: 9042

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001 Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

John Behannon

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001 Extn: 9042

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords