ABOUT   |   AIMS and SCOPE   |   AUTHOR INSTRUCTIONS   |   EDITORIAL BOARD   |   ARCHIVE   |   CURRENT ISSUE   |   SUBMIT MANUSCRIPT ONLINE  |
bioinfo issue

This Article

Copyright © 2015 | AIZEON publishers | All rights reserved

 Open Access
 Abstract
 Full Text PDF Free

 

Services

Articles by corresponding author in PubMed

Articles by corresponding author in Google Scholar

 

 

aizeon

 



 

International Journal of Computational Bioinformatics and In Silico Modeling
2015: Volume-4 Issue-6
ISSN: 2320-0634

>>Back to Issues

ABSTRACT   REFERENCES  
International Journal of Computational Bioinformatics and In Silico Modeling 4(6) 2015: 749-752

High-throughput Omics Data for mining of important genes/traits linked to Agricultural Productivity: A National Bioinformatics workshop report



Anil Kumar*, Gohar Taj, Dinesh Pandey, Rajesh Kumar Pathak, Apoorv Tiwari & Himanshu Avashthi

Department of Molecular Biology & Genetic Engineering, College of Basic Sciences & Humanities, G. B. Pant University of Agriculture & Technology, Pantnagar-263145, Uttarakhand, India

* Corresponding Author

ABSTRACT

The emerging advanced technologies facilitate the systematic study of the complex agricultural traits and the regulation underlying the phenotype of the biological organisms. In contrast to the classical research before the post-genomic era, the current agricultural research tends to investigate the behaviour of all system components simultaneously. This strategy intends to reveal how the system components collaborate to regulate the system behaviour rather than an attempt to identify the individual function of a component. In context of the agricultural research, the systems based approaches has been exploited to explore the biological regulation controlling agricultural productivity. This report highlighted the importance of Bioinformatics and systems biology tools in OMICS data analysis for mining of important genes/traits linked to agricultural productivity.

 


Copyright © 2015 | AIZEON publishers | All rights reserved

 

..........................................................................................................................................................................................................

Citation: Anil Kumar et al. (2015). High-throughput Omics Data for mining of important genes/traits linked to Agricultural Productivity: A National Bioinformatics workshop report. Int J Comput Bioinfo In Silico Model 4(6): 749-752

..........................................................................................................................................................................................................